output
stringlengths 1
483
| hypotheses
listlengths 5
5
| input
stringlengths 20
2.42k
| instruction
stringclasses 1
value |
|---|---|---|---|
is not that how it works that you c look look at r
|
[
"Isn't that how it works that you look at dr",
"Isn't that how it works that you look look at dr",
"Isn't that how it works that you look, look at dr",
"Isn't that how it works that you look, look at",
"Isn't that how it works, that you look look at dr"
] |
['is not that how it works that you look at doctor', 'is not that how it works that you look look at doctor', 'is not that how it works that you look look at doctor', 'is not that how it works that you look look at', 'is not that how it works that you look look at doctor']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
but every individual module like the player and the display say like they still get sort of all the different utterances
|
[
"But every individual module, like the player and the displays, they still get all the different utterances.",
"But every individual module, like the player and the display, they still get all the different utterances.",
"But every individual module like the player and the displays, they still get all the different utterances.",
"But every individual module like the player and the display, they still get all the different utterances.",
"But every individual module, like the player and the display, say, like they still get sort of all the different utterances."
] |
['but every individual module like the player and the displays they still get all the different utterances', 'but every individual module like the player and the display they still get all the different utterances', 'but every individual module like the player and the displays they still get all the different utterances', 'but every individual module like the player and the display they still get all the different utterances', 'but every individual module like the player and the display say like they still get sort of all the different utterances']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
does this there any wishes for dictionaries
|
[
"Is there any wishes for dictionaries?",
"Does there any wishes for dictionaries?",
"Does any wishes for dictionaries?",
"Is there any wishes for dictionaries.",
"Is this there any wishes for dictionaries?"
] |
['is there any wishes for dictionaries', 'does there any wishes for dictionaries', 'does any wishes for dictionaries', 'is there any wishes for dictionaries', 'is this there any wishes for dictionaries']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i am theoretically free
|
[
"I am theoretically free.",
"I'm theoretically free.",
"am theoretically free.",
"I am theoretically free",
"I'm theoretically free"
] |
['i am theoretically free', 'i am theoretically free', 'am theoretically free', 'i am theoretically free', 'i am theoretically free']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Yeah.",
"Yeah,",
"Yes.",
"yeah.",
"No."
] |
['yeah', 'yeah', 'yes', 'yeah', 'no']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so but when when we talk about summaries you talk about this abo about skimming and not about
|
[
"So but when when we talk about summaries, we talk about this about about skimming and not about.",
"So, But when when we talk about summaries, we talk about this about about skimming and not about.",
"So but when when we talk about summaries, we talk about this about about skimming and not about",
"So, But when when we talk about summaries, we talk about this, uh, about about skimming and not about.",
"So, But when when we talk about summaries, we talk about this, uh, about about skimming and not about"
] |
['so but when when we talk about summaries we talk about this about about skimming and not about', 'so but when when we talk about summaries we talk about this about about skimming and not about', 'so but when when we talk about summaries we talk about this about about skimming and not about', 'so but when when we talk about summaries we talk about this about about skimming and not about', 'so but when when we talk about summaries we talk about this about about skimming and not about']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
right because the whole way like the whole beauty of the nite x m l is that it ties together lots of different files
|
[
"Right? Because the whole way, like the whole beauty of the NADX mill is that it ties together lots of different files.",
"Right? Because the whole way, like the whole beauty of the NADX Melt is that it ties together lots of different files.",
"Right? Because the whole way, like the whole beauty of the NADX malware is that it ties together lots of different files.",
"Right? Because the whole way, like the whole beauty of the NADX malice, that it ties together lots of different files.",
"Right? Because the whole way, like the whole beauty of the NADX males, that it ties together lots of different files."
] |
['right because the whole way like the whole beauty of the nadx mill is that it ties together lots of different files', 'right because the whole way like the whole beauty of the nadx melt is that it ties together lots of different files', 'right because the whole way like the whole beauty of the nadx malware is that it ties together lots of different files', 'right because the whole way like the whole beauty of the nadx malice that it ties together lots of different files', 'right because the whole way like the whole beauty of the nadx males that it ties together lots of different files']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
that is quite small yeah that is some utterances
|
[
"That's quite small. Yeah, that's some utterances.",
"That's quite small, yeah, that's some utterances.",
"That's quite small, yeah. That's some utterances.",
"That's quite small. Yeah. That's some utterances.",
"That's quite small, yeah that's some utterances."
] |
['that is quite small yeah that is some utterances', 'that is quite small yeah that is some utterances', 'that is quite small yeah that is some utterances', 'that is quite small yeah that is some utterances', 'that is quite small yeah that is some utterances']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Yeah.",
"yeah.",
"Yeah,",
"Yes.",
"Yeah, yeah."
] |
['yeah', 'yeah', 'yeah', 'yes', 'yeah yeah']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Yeah.",
"Yeah,",
"Yes.",
"yeah.",
"Yeah?"
] |
['yeah', 'yeah', 'yes', 'yeah', 'yeah']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
no
|
[
"You know, I'm not.",
"You know I'm not.",
"You know, I'm a.",
"You know, um,",
"You know, I'm a"
] |
['you know i am not', 'you know i am not', 'you know i am a', 'you know', 'you know i am a']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
or we just tie it to it
|
[
"or which is tied to it.",
"Or which is tied to it.",
"Which is tied to it.",
"Or which is tied to it?",
"Or, which is tied to it."
] |
['or which is tied to it', 'or which is tied to it', 'which is tied to it', 'or which is tied to it', 'or which is tied to it']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
put it on to c d
|
[
"Put on to CD.",
"Put onto CD.",
"put on to CD.",
"put on to CD",
"Put it on to CD."
] |
['put on to cd', 'put onto cd', 'put on to cd', 'put on to cd', 'put it on to cd']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
probably like after today is meeting we then actually need to
|
[
"probably like after today's meeting we then actually need to",
"Probably like after today's meeting we then actually need to",
"probably like after today's meeting, we then actually need to",
"Probably like after today's meeting, we then actually need to",
"Probably, like, after today's meeting, we then actually need to"
] |
['probably like after today is meeting we then actually need to', 'probably like after today is meeting we then actually need to', 'probably like after today is meeting we then actually need to', 'probably like after today is meeting we then actually need to', 'probably like after today is meeting we then actually need to']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
the temp the temps usually have for gigabyte 3 or 2
|
[
"The temps usually have a gigabyte free or two.",
"The temp, the temps usually have a gigabyte free or two.",
"The temps usually have for gigabyte free or two.",
"The temps, the temps usually have a gigabyte free or two.",
"The temp, the temps usually have for gigabyte free or two."
] |
['the temps usually have a gigabyte free or 2', 'the temp the temps usually have a gigabyte free or 2', 'the temps usually have for gigabyte free or 2', 'the temps the temps usually have a gigabyte free or 2', 'the temp the temps usually have for gigabyte free or 2']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
it is probably just those people have to work together a lot and very closely and just make sure that they are always f understand what the other one is doing
|
[
"It's probably just those people have to work together a lot and very closely and just make sure that they always understand what the other one is doing.",
"It's probably just those people have to work together a lot and very closely and just make sure that they always understand what the other one's doing.",
"It's probably just these people have to work together a lot and very closely and just make sure that they always understand what the other one is doing.",
"It's probably just those people have to work together a lot and very closely, and just make sure that they always understand what the other one is doing.",
"It's probably just those people have to work together a lot, and very closely, and just make sure that they always understand what the other one is doing."
] |
['it is probably just those people have to work together a lot and very closely and just make sure that they always understand what the other one is doing', 'it is probably just those people have to work together a lot and very closely and just make sure that they always understand what the other one is doing', 'it is probably just these people have to work together a lot and very closely and just make sure that they always understand what the other one is doing', 'it is probably just those people have to work together a lot and very closely and just make sure that they always understand what the other one is doing', 'it is probably just those people have to work together a lot and very closely and just make sure that they always understand what the other one is doing']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
like
|
[
"Like.",
"like.",
"Like,",
"I like.",
"like,"
] |
['like', 'like', 'like', 'i like', 'like']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
what is that
|
[
"Where to start?",
"Where did it start?",
"Where to start.",
"Where does it start?",
"Where does that start?"
] |
['where to start', 'where did it start', 'where to start', 'where does it start', 'where does that start']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah and then
|
[
"Yeah, and then.",
"Yeah. And then,",
"Yeah, And then.",
"Yeah and then.",
"Yeah, And then,"
] |
['yeah and then', 'yeah and then', 'yeah and then', 'yeah and then', 'yeah and then']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so have we already extracted from all the files
|
[
"So have you already extracted from all the files?",
"So have we already extracted from all the files?",
"So, have you already extracted from all the files?",
"So have you already extracted from all the files.",
"So have we already extracted from all the files."
] |
['so have you already extracted from all the files', 'so have we already extracted from all the files', 'so have you already extracted from all the files', 'so have you already extracted from all the files', 'so have we already extracted from all the files']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Yeah.",
"Yeah,",
"yeah.",
"Yes.",
"Yea."
] |
['yeah', 'yeah', 'yeah', 'yes', 'yea']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Mm.",
"Yeah.",
"mm.",
"Mhm.",
"mmm."
] |
['', 'yeah', '', '', '']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Mm.",
"Yeah.",
"Mhm.",
"MHM.",
"mm,"
] |
['', 'yeah', '', '', '']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
0 mine is just going to use the hash map one in java
|
[
"I was just going to use the hashmap one in Java.",
"I was just going to use the Hashmap one in Java.",
"Oh, I was just gonna use the hashmap one in Java.",
"Oh, I was just going to use the hashmap one in Java.",
"Oh, I was just gonna use the, um, hashmap one in, um, Java."
] |
['i was just going to use the hashmap one in java', 'i was just going to use the hashmap one in java', '0 i was just going to use the hashmap one in java', '0 i was just going to use the hashmap one in java', '0 i was just going to use the hashmap one in java']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i am not sure if there is enough space
|
[
"I'm not sure if there's enough space.",
"I'm not sure if there is enough space.",
"I am not sure if there is enough space.",
"I am not sure if there's enough space.",
"I'm not sure if there's enough space,"
] |
['i am not sure if there is enough space', 'i am not sure if there is enough space', 'i am not sure if there is enough space', 'i am not sure if there is enough space', 'i am not sure if there is enough space']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
it just means it loads on demand
|
[
"It just means it loads on demand.",
"It just means that it loads on demand.",
"Just means it loads on demand.",
"It means it loads on demand.",
"This just means it loads on demand."
] |
['it just means it loads on demand', 'it just means that it loads on demand', 'just means it loads on demand', 'it means it loads on demand', 'this just means it loads on demand']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so we need like several of us need a dictionary
|
[
"So we need like several of us need a dictionary.",
"So we need like, several of us need a dictionary.",
"So we need, like several of us need a dictionary.",
"So we need, like, several of us need a dictionary.",
"So, we need like, several of us need a dictionary."
] |
['so we need like several of us need a dictionary', 'so we need like several of us need a dictionary', 'so we need like several of us need a dictionary', 'so we need like several of us need a dictionary', 'so we need like several of us need a dictionary']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
and we would have one very big thing off line
|
[
"I mean, we would have one very big thing offline.",
"I mean we would have one very big thing offline.",
"And we would have one very big thing offline.",
"I mean, we would have one very big thing off line.",
"We would have one very big thing offline."
] |
['i mean we would have one very big thing offline', 'i mean we would have one very big thing offline', 'and we would have one very big thing offline', 'i mean we would have one very big thing off line', 'we would have one very big thing offline']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay
|
[
"Okay.",
"Ok.",
"OK.",
"Okay,",
"okay."
] |
['okay', 'ok', 'ok', 'okay', 'okay']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
just pure text so that i can get a dictionary and you can work on that for your topic segmentation
|
[
"It's just pure text so that I can get a dictionary and you can work on that for your topic segmentation.",
"Just pure text so that I can get a dictionary and you can work on that for your topic segmentation.",
"It's just a few texts that I can get a dictionary and you can work on that for your topic segmentation.",
"Just a few texts so that I can get a dictionary and you can work on that for your topic segmentation.",
"It's just pure text so that I can get a dictionary, and you can work on that for your topic segmentation."
] |
['it is just pure text so that i can get a dictionary and you can work on that for your topic segmentation', 'just pure text so that i can get a dictionary and you can work on that for your topic segmentation', 'it is just a few texts that i can get a dictionary and you can work on that for your topic segmentation', 'just a few texts so that i can get a dictionary and you can work on that for your topic segmentation', 'it is just pure text so that i can get a dictionary and you can work on that for your topic segmentation']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
mine is going to be mostly using the off line
|
[
"And mine's going to be mostly using the offline.",
"Mine's going to be mostly using the offline.",
"And mine is going to be mostly using the offline.",
"Mine's gonna be mostly using the offline.",
"And mine's gonna be mostly using the offline."
] |
['and mine is going to be mostly using the offline', 'mine is going to be mostly using the offline', 'and mine is going to be mostly using the offline', 'mine is going to be mostly using the offline', 'and mine is going to be mostly using the offline']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
kay
|
[
"Okay.",
"K.",
"Can.",
"Okay,",
"kay."
] |
['okay', 'k', 'can', 'okay', 'kay']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
cause it is really easy to do basically
|
[
"Because it's really easy to do basically.",
"Cause it's really easy to do basically.",
"Because it's really easy to do, basically.",
"Cause it's really easy to do, basically.",
"'Cause it's really easy to do basically."
] |
['because it is really easy to do basically', 'cause it is really easy to do basically', 'because it is really easy to do basically', 'cause it is really easy to do basically', 'cause it is really easy to do basically']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah no
|
[
"You know.",
"You know?",
"You know,",
"you know.",
"you know,"
] |
['you know', 'you know', 'you know', 'you know', 'you know']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah but how about those words which do not carry any meaning at all the and uhs and something like that
|
[
"Yeah, but how about those words, which don't carry any meaning at all, the um and errs and something like that.",
"Yeah. But how about those words, which don't carry any meaning at all, the um and errs and something like that.",
"Yeah, but how about those words, which don't carry any meaning at all, the um and ers and something like that.",
"Yeah, but how about those words, which don't carry any meaning at all, the um and errs and something like that?",
"Yeah. But how about those words, which don't carry any meaning at all, the um and errs and something like that?"
] |
['yeah but how about those words which do not carry any meaning at all the and errs and something like that', 'yeah but how about those words which do not carry any meaning at all the and errs and something like that', 'yeah but how about those words which do not carry any meaning at all the and ers and something like that', 'yeah but how about those words which do not carry any meaning at all the and errs and something like that', 'yeah but how about those words which do not carry any meaning at all the and errs and something like that']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i have to still have to order everything by the time and
|
[
"I have to still have had to order everything by the time. and",
"I have to still have to order everything by the time. and",
"I have to still have had to order everything by the time. And",
"I have to still have to order everything by the time. And",
"I have to still have, uh, to order everything by the time. and"
] |
['i have to still have had to order everything by the time and', 'i have to still have to order everything by the time and', 'i have to still have had to order everything by the time and', 'i have to still have to order everything by the time and', 'i have to still have to order everything by the time and']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah i will see if i understand how to serialize
|
[
"Yeah, I'll see if I understand how to serialise.",
"Yeah, I'll see if I understand how to serialize.",
"Yeah I'll see if I understand how to serialise.",
"Yeah. I'll see if I understand how to serialise.",
"Yeah, I will see if I understand how to serialise."
] |
['yeah i will see if i understand how to serialize', 'yeah i will see if i understand how to serialize', 'yeah i will see if i understand how to serialize', 'yeah i will see if i understand how to serialize', 'yeah i will see if i understand how to serialize']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah you just like whatever you want to look at you just jam together into an x m l file and that is your meeting
|
[
"Yeah, you just like whatever you want to look at, you just jam together into an XML file and that's your meeting.",
"Yeah, you just like whatever you want to look at, you just jam together into an XML file. And that's your meeting.",
"Yeah, you just like whatever you want to look at, you just jam together into an XML file, and that's your meeting.",
"Yeah, you just like, whatever you want to look at, you just jam together into an XML file and that's your meeting.",
"Yeah, you just, like, whatever you want to look at, you just jam together into an XML file and that's your meeting."
] |
['yeah you just like whatever you want to look at you just jam together into an xml file and that is your meeting', 'yeah you just like whatever you want to look at you just jam together into an xml file and that is your meeting', 'yeah you just like whatever you want to look at you just jam together into an xml file and that is your meeting', 'yeah you just like whatever you want to look at you just jam together into an xml file and that is your meeting', 'yeah you just like whatever you want to look at you just jam together into an xml file and that is your meeting']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
no you you we should be able to get it at i do not think it was i do not think it was a gigabyte
|
[
"We should be able to get it. I don't think it was I don't think it was a gigabyte.",
"You we should be able to get it. I don't think it was I don't think it was a gigabyte.",
"We should be able to get it. I don't think it was. I don't think it was a gigabyte.",
"You, you, we should be able to get it. I don't think it was, I don't think it was a gigabyte.",
"No, you we should be able to get it. I don't think it was I don't think it was a gigabyte."
] |
['we should be able to get it i do not think it was i do not think it was a gigabyte', 'you we should be able to get it i do not think it was i do not think it was a gigabyte', 'we should be able to get it i do not think it was i do not think it was a gigabyte', 'you you we should be able to get it i do not think it was i do not think it was a gigabyte', 'no you we should be able to get it i do not think it was i do not think it was a gigabyte']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah that is the problem
|
[
"Yeah, that's the problem.",
"Yeah, That's the problem.",
"Yeah that's the problem.",
"Yeah. That's the problem.",
"Yeah, that's the problem, huh?"
] |
['yeah that is the problem', 'yeah that is the problem', 'yeah that is the problem', 'yeah that is the problem', 'yeah that is the problem huh']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
well you can probably also you can probably pre filter like with regular expressions even just say if it consists of only dig digits then skip it
|
[
"You can probably also you can probably prefilter like with regular expressions even just say if it consists of only digits then skip it.",
"Well, you can probably also, you can probably prefilter like with regular expressions, even just say if it consists of only digits, then skip it.",
"Well you can probably also you can probably prefilter like with regular expressions, even just say if it consists of only digits then skip it.",
"Well, you can probably also, you can probably prefilter like with regular expressions, even just say if it consists of only digits then skip it.",
"Well, you can probably also, you can probably prefilter, like, with regular expressions, even just say if it consists of only digits, then skip it."
] |
['you can probably also you can probably prefilter like with regular expressions even just say if it consists of only digits then skip it', 'well you can probably also you can probably prefilter like with regular expressions even just say if it consists of only digits then skip it', 'well you can probably also you can probably prefilter like with regular expressions even just say if it consists of only digits then skip it', 'well you can probably also you can probably prefilter like with regular expressions even just say if it consists of only digits then skip it', 'well you can probably also you can probably prefilter like with regular expressions even just say if it consists of only digits then skip it']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah but do they automatically write to the file anyway i will i will figure that out
|
[
"But do they automatically write to the file? Anyway, I'll figure that out.",
"Yeah, but do they automatically write to the file? Anyway, I'll figure that out.",
"But do they automatically write to the file anyway, I'll figure that out.",
"Yeah, but do they automatically write to the file anyway, I'll figure that out.",
"But do they automatically write to the file Anyway, I'll figure that out."
] |
['but do they automatically write to the file anyway i will figure that out', 'yeah but do they automatically write to the file anyway i will figure that out', 'but do they automatically write to the file anyway i will figure that out', 'yeah but do they automatically write to the file anyway i will figure that out', 'but do they automatically write to the file anyway i will figure that out']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay well i do not know any perl
|
[
"Okay, well I don't know any problem.",
"Okay, well, I don't know any problem.",
"Okay well I don't know any problem.",
"Okay well, I don't know any problem.",
"Okay. Well, I don't know any problem."
] |
['okay well i do not know any problem', 'okay well i do not know any problem', 'okay well i do not know any problem', 'okay well i do not know any problem', 'okay well i do not know any problem']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
no you are right
|
[
"No, you're right.",
"No, You're right.",
"No you're right.",
"No, You already.",
"No, Your Right."
] |
['no you are right', 'no you are right', 'no you are right', 'no you already', 'no your right']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
kay who has most free space on their
|
[
"Okay, Who has most free space on there?",
"Okay. Who has most free space on there?",
"Okay, Who is most free space on there?",
"Okay who has most free space on there?",
"okay, who has most free space on there?"
] |
['okay who has most free space on there', 'okay who has most free space on there', 'okay who is most free space on there', 'okay who has most free space on there', 'okay who has most free space on there']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so cause yeah
|
[
"So, um, that's it.",
"So, eh, that's it.",
"So, um, that's yeah.",
"So, eh, that's yeah.",
"So, eh, that's yeah, yeah."
] |
['so that is it', 'so eh that is it', 'so that is yeah', 'so eh that is yeah', 'so eh that is yeah yeah']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so that is that only by type of file
|
[
"So that is that only by type of file.",
"So that is that only by type of files.",
"So that is that only by type of file?",
"So that is that only by type of files?",
"So that, is that only by type of file?"
] |
['so that is that only by type of file', 'so that is that only by type of files', 'so that is that only by type of file', 'so that is that only by type of files', 'so that is that only by type of file']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
0 okay
|
[
"Oh okay.",
"Oh, okay.",
"Oh, Okay.",
"Oh. Okay.",
"Oh, OK."
] |
['0 okay', '0 okay', '0 okay', '0 okay', '0 ok']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i mean do we do both or is it the same thing
|
[
"I mean do we do both or is it the same thing?",
"I mean, do we do both or is it the same thing?",
"I mean, do we do both, or is it the same thing?",
"I mean do we do both, or is it the same thing?",
"I mean do we do both or is it the same thing."
] |
['i mean do we do both or is it the same thing', 'i mean do we do both or is it the same thing', 'i mean do we do both or is it the same thing', 'i mean do we do both or is it the same thing', 'i mean do we do both or is it the same thing']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
well yeah and then it will f preserve the order when it is displayed the
|
[
"Well, yeah, and then he'll preserve the order when it's displayed though.",
"Well yeah and then he'll preserve the order when it's displayed though.",
"Well, yeah, and then it'll preserve the order when it's displayed though.",
"Well, yeah, and then he'll preserve the order when it's displayed there.",
"Well, yeah, and then, he'll preserve the order when it's displayed though."
] |
['well yeah and then he will preserve the order when it is displayed though', 'well yeah and then he will preserve the order when it is displayed though', 'well yeah and then it will preserve the order when it is displayed though', 'well yeah and then he will preserve the order when it is displayed there', 'well yeah and then he will preserve the order when it is displayed though']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
but nobody said anything about al being allowed to or not allowed to
|
[
"But nobody said anything about being allowed or not allowed to.",
"But nobody said anything about being allowed or not allowed.",
"But nobody said anything about being allowed to or not allowed to.",
"But nobody said anything about being allowed to not allowed to.",
"But nobody said anything about being allowed to, not allowed to."
] |
['but nobody said anything about being allowed or not allowed to', 'but nobody said anything about being allowed or not allowed', 'but nobody said anything about being allowed to or not allowed to', 'but nobody said anything about being allowed to not allowed to', 'but nobody said anything about being allowed to not allowed to']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
like
|
[
"like,",
"like",
"like.",
"Like.",
"Like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like, like,"
] |
['like', 'like', 'like', 'like', 'like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like like']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i personally do not have too many friends who would be too keen on getting it anyway
|
[
"I personally don't have too many friends who would be too keen on getting it anyway.",
"I personally don't have too many friends who would be too keen on getting it, anyway.",
"I personally don't have too many friends who would be too keen to getting it anyway.",
"I personally, don't have too many friends who would be too keen on getting it anyway.",
"I personally don't have too many friends who'd be too keen on getting it anyway."
] |
['i personally do not have too many friends who would be too keen on getting it anyway', 'i personally do not have too many friends who would be too keen on getting it anyway', 'i personally do not have too many friends who would be too keen to getting it anyway', 'i personally do not have too many friends who would be too keen on getting it anyway', 'i personally do not have too many friends who would be too keen on getting it anyway']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
well the skimming is going to use the importance
|
[
"Well the skimming's gonna use the importance.",
"Well the skimming's gonna use the important.",
"Well the skimming is gonna use the importance.",
"While the skimming's gonna use the importance.",
"Well the skimming's going to use the importance."
] |
['well the skimming is going to use the importance', 'well the skimming is going to use the important', 'well the skimming is going to use the importance', 'while the skimming is going to use the importance', 'well the skimming is going to use the importance']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so what do you mean by buffering
|
[
"So what do you mean by buffering?",
"So, what do you mean by buffering?",
"So what do you mean by buffering.",
"What do you mean by buffering?",
"So what do you mean by buffering me?"
] |
['so what do you mean by buffering', 'so what do you mean by buffering', 'so what do you mean by buffering', 'what do you mean by buffering', 'so what do you mean by buffering me']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
maybe
|
[
"Maybe.",
"maybe",
"Maybe",
"Maybe,",
"Maybe?"
] |
['maybe', 'maybe', 'maybe', 'maybe', 'maybe']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Yeah.",
"Yeah,",
"Yes.",
"yeah.",
"Yea."
] |
['yeah', 'yeah', 'yes', 'yeah', 'yea']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay
|
[
"Thank you.",
"Mm.",
"Maybe.",
"Mm,",
"Maybe you could."
] |
['thank you', '', 'maybe', '', 'maybe you could']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah i have had a b i have had a look at the the topic segments how it is stored
|
[
"Yeah, I've had a I've had a look at the the topic segments, how it's stored.",
"Yeah, I've had a I've had a look at the the topic segments how it's stored.",
"Yeah, I've had a, I've had a look at the, the topic segments, how it's stored.",
"Yeah, I've had a I've had a look at the topic segments, how it's stored.",
"Yeah, I've had a I've had a look at the the topic segments. How it's stored."
] |
['yeah i have had a i have had a look at the the topic segments how it is stored', 'yeah i have had a i have had a look at the the topic segments how it is stored', 'yeah i have had a i have had a look at the the topic segments how it is stored', 'yeah i have had a i have had a look at the topic segments how it is stored', 'yeah i have had a i have had a look at the the topic segments how it is stored']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
cause otherwise we would be recalculating the same thing over and over and over again
|
[
"Because otherwise we'll be recalculating the same thing over and over and over again.",
"Cause otherwise we'll be recalculating the same thing over and over and over again.",
"Because otherwise, we'll be recalculating the same thing over and over and over again.",
"'Cause otherwise we'll be recalculating the same thing over and over and over again.",
"'Cause otherwise we'll be recalculating the same thing over and over and over again'."
] |
['because otherwise we will be recalculating the same thing over and over and over again', 'cause otherwise we will be recalculating the same thing over and over and over again', 'because otherwise we will be recalculating the same thing over and over and over again', 'cause otherwise we will be recalculating the same thing over and over and over again', 'cause otherwise we will be recalculating the same thing over and over and over again']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i think they might do
|
[
"I think they might be.",
"I think they might be?",
"I think they might do.",
"I think they might be,",
"I think they might the."
] |
['i think they might be', 'i think they might be', 'i think they might do', 'i think they might be', 'i think they might the']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
well like say you had like say for a meeting right you have got like say a hierarchy that looks quite big like this
|
[
"Well, like, say you had, um, like, say for a meeting, right? You've got, like, uh, say a hierarchy that looks quite big like this.",
"Well, like, say you had, um, like, say for a meeting, right? You've got like, uh, say a hierarchy that looks quite big like this.",
"Well, like, say you had, um, like, say for a meeting, right? You've got, like, uh, say a hierarchy that looks quite big, like this.",
"Well, like say you had, um, like say for a meeting, right? You've got like, uh, say a hierarchy that looks quite big like this.",
"Well, like, say you had, um, like say for a meeting, right? You've got like, uh, say a hierarchy that looks quite big like this."
] |
['well like say you had like say for a meeting right you have got like say a hierarchy that looks quite big like this', 'well like say you had like say for a meeting right you have got like say a hierarchy that looks quite big like this', 'well like say you had like say for a meeting right you have got like say a hierarchy that looks quite big like this', 'well like say you had like say for a meeting right you have got like say a hierarchy that looks quite big like this', 'well like say you had like say for a meeting right you have got like say a hierarchy that looks quite big like this']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
within a a segment actually within a topic segment
|
[
"Within a segment actually, within a topic segment.",
"Within a segment, actually, within a topic segment.",
"within a segment actually, within a topic segment.",
"Within a segment actually within a topic segment.",
"within a segment, actually, within a topic segment."
] |
['within a segment actually within a topic segment', 'within a segment actually within a topic segment', 'within a segment actually within a topic segment', 'within a segment actually within a topic segment', 'within a segment actually within a topic segment']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
cause their parser is probably much faster than anything we have come up with anyway
|
[
"Cause their pass was probably much faster than anything we'd come up with anyway.",
"Cause the air pass was probably much faster than anything we'd come up with anyway.",
"Cause their pass was probably much faster than anything we had come up with anyway.",
"Cause their passes probably much faster than anything we'd come up with anyway.",
"Cause the air passes probably much faster than anything we'd come up with anyway."
] |
['cause their pass was probably much faster than anything we would come up with anyway', 'cause the air pass was probably much faster than anything we would come up with anyway', 'cause their pass was probably much faster than anything we had come up with anyway', 'cause their passes probably much faster than anything we would come up with anyway', 'cause the air passes probably much faster than anything we would come up with anyway']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so if this lazy loading works then this should definitely fit into i mean not memory then because it would not all be in memory at the same time
|
[
"So if this lazy loading works then this should definitely fit into I mean not memory then because it wouldn't all be in memory at the same time.",
"So if this lazy loading works then this should definitely fit into, I mean not memory then because it wouldn't all be in memory at the same time.",
"So if this lazy loading works, then this should definitely fit into I mean not memory then because it wouldn't all be in memory at the same time.",
"So if this lazy loading works, then this should definitely fit into, I mean not memory then because it wouldn't all be in memory at the same time.",
"So, if this lazy loading works, then this should definitely fit into, I mean not memory then because it wouldn't all be in memory at the same time."
] |
['so if this lazy loading works then this should definitely fit into i mean not memory then because it would not all be in memory at the same time', 'so if this lazy loading works then this should definitely fit into i mean not memory then because it would not all be in memory at the same time', 'so if this lazy loading works then this should definitely fit into i mean not memory then because it would not all be in memory at the same time', 'so if this lazy loading works then this should definitely fit into i mean not memory then because it would not all be in memory at the same time', 'so if this lazy loading works then this should definitely fit into i mean not memory then because it would not all be in memory at the same time']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so the utterances with the highest like mean information density
|
[
"So the utterances with the highest like mean information density.",
"So the utterances with the highest like mean information density?",
"So the utterances with the highest like mean information density,",
"So the utterances with the highest like, mean information density.",
"So the utterances with the highest, like mean information density."
] |
['so the utterances with the highest like mean information density', 'so the utterances with the highest like mean information density', 'so the utterances with the highest like mean information density', 'so the utterances with the highest like mean information density', 'so the utterances with the highest like mean information density']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
can you not do that
|
[
"Can you not do that?",
"Can you not do that.",
"can you not do that?",
"Can't you not do that?",
"Can you not do that??"
] |
['can you not do that', 'can you not do that', 'can you not do that', 'can not you not do that', 'can you not do that']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay
|
[
"Okay.",
"K.",
"Ok.",
"Okay,",
"OK."
] |
['okay', 'k', 'ok', 'okay', 'ok']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
and for y for like the p the calculations that we are doing apart from the search it seems that everyone needs some special representations anyway
|
[
"And for y for like the the calculations that we're doing apart from the search, it seems everyone needs some special representations anyway.",
"And for for like the the calculations that we're doing apart from the search, it seems everyone needs some special representations anyway.",
"And for y for like the the calculations that we're doing, apart from the search, it seems everyone needs some special representations anyway.",
"And for for like the the calculations that we're doing, apart from the search, it seems everyone needs some special representations anyway.",
"And for, y for like the the calculations that we're doing apart from the search, it seems everyone needs some special representations anyway."
] |
['and for y for like the the calculations that we are doing apart from the search it seems everyone needs some special representations anyway', 'and for for like the the calculations that we are doing apart from the search it seems everyone needs some special representations anyway', 'and for y for like the the calculations that we are doing apart from the search it seems everyone needs some special representations anyway', 'and for for like the the calculations that we are doing apart from the search it seems everyone needs some special representations anyway', 'and for y for like the the calculations that we are doing apart from the search it seems everyone needs some special representations anyway']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so so i will is th it like is this and this structurally then always identical
|
[
"So so are is like is this and this structurally then always identical.",
"So so are is like is this and this structurally then always identical?",
"So, so are is like, is this and this structurally then always identical?",
"So so are is it like is this and this structurally then always identical?",
"So, so are is it like, is this and this structurally then always identical?"
] |
['so so are is like is this and this structurally then always identical', 'so so are is like is this and this structurally then always identical', 'so so are is like is this and this structurally then always identical', 'so so are is it like is this and this structurally then always identical', 'so so are is it like is this and this structurally then always identical']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
and just like at least for the for sort of for finding topics titles for for segments
|
[
"And just like at least for the for sort of for finding topics, titles for for segments.",
"And just like, at least for the for sort of for finding topics, titles for for segments.",
"And just like this for the for sort of for finding topics, titles for for segments.",
"And she's like at least for the for sort of for finding topics, titles for for segments.",
"And just like at least for the for sort of for finding topics titles for for segments."
] |
['and just like at least for the for sort of for finding topics titles for for segments', 'and just like at least for the for sort of for finding topics titles for for segments', 'and just like this for the for sort of for finding topics titles for for segments', 'and she is like at least for the for sort of for finding topics titles for for segments', 'and just like at least for the for sort of for finding topics titles for for segments']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay
|
[
"Okay.",
"OK.",
"Ok.",
"OK?",
"Okay?"
] |
['okay', 'ok', 'ok', 'ok', 'okay']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
nah
|
[
"No.",
"no.",
"Mm.",
"Nah.",
"No,"
] |
['no', 'no', '', 'nah', 'no']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
well i was going to start off i have v got sort of half way through implementing one that does just i d f
|
[
"Like I was gonna start off. I've got sort of halfway through inventing one that does just IDF.",
"I was gonna start off. I've got sort of halfway through inventing one that does just IDF.",
"Like I was gonna start off, I've got sort of halfway through inventing one that does just IDF.",
"Like, I was gonna start off. I've got sort of halfway through inventing one that does just IDF.",
"I was going to start off. I've got sort of halfway through inventing one that does just IDF."
] |
['like i was going to start off i have got sort of halfway through inventing one that does just idf', 'i was going to start off i have got sort of halfway through inventing one that does just idf', 'like i was going to start off i have got sort of halfway through inventing one that does just idf', 'like i was going to start off i have got sort of halfway through inventing one that does just idf', 'i was going to start off i have got sort of halfway through inventing one that does just idf']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
well the i guess that goes with the utterance who is speaking
|
[
"Well, I guess that goes for the utterance. Who's speaking?",
"Well, I guess that goes for the utterance, who's speaking?",
"Well, I guess that goes for the utterance who's speaking.",
"Well, I guess that goes for the utterance, who's speaking.",
"Well, I guess that goes for the utterance Who's speaking?"
] |
['well i guess that goes for the utterance who is speaking', 'well i guess that goes for the utterance who is speaking', 'well i guess that goes for the utterance who is speaking', 'well i guess that goes for the utterance who is speaking', 'well i guess that goes for the utterance who is speaking']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah yeah
|
[
"Yeah, yeah.",
"Yeah yeah.",
"Yeah. Yeah.",
"Yeah.",
"Yeah, yeah, yeah."
] |
['yeah yeah', 'yeah yeah', 'yeah yeah', 'yeah', 'yeah yeah yeah']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
like maybe weighted with the search terms and then extract them
|
[
"Like maybe weighted with the search terms and then extract them.",
"like maybe weighted with the search terms and then extract them.",
"Like maybe weighted with the search terms. And then extract them.",
"Maybe weighted with the search terms and then extract them.",
"Like, maybe weighted with the search terms and then extract them."
] |
['like maybe weighted with the search terms and then extract them', 'like maybe weighted with the search terms and then extract them', 'like maybe weighted with the search terms and then extract them', 'maybe weighted with the search terms and then extract them', 'like maybe weighted with the search terms and then extract them']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay that
|
[
"Okay.",
"Okay?",
"My kids.",
"Okay,",
"Like it's."
] |
['okay', 'okay', 'my kids', 'okay', 'like it is']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so we are thinking of like maybe just storing it on a per utterance level
|
[
"So we're thinking of like maybe just storing it on a per utterance level.",
"So we're thinking of like maybe just storing it on a peruterance level.",
"So we're thinking of like maybe just storing it on a per uterance level.",
"So we're thinking of like, maybe just storing it on a per utterance level.",
"So we're thinking of like, maybe just storing it on a per uterance level."
] |
['so we are thinking of like maybe just storing it on a per utterance level', 'so we are thinking of like maybe just storing it on a peruterance level', 'so we are thinking of like maybe just storing it on a per uterance level', 'so we are thinking of like maybe just storing it on a per utterance level', 'so we are thinking of like maybe just storing it on a per uterance level']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah sort of like off line create a virtual meeting which which basically treats the meeting series as if it was a meeting
|
[
"Yeah, sort of like offline create a virtual meeting which which basically treats the meeting series as if it was a meeting.",
"Yeah, sort of like offline create a virtual meeting, which which basically treats the meeting series as if it was a meeting.",
"Yeah, sort of like offline create a virtual meeting which which basically treats the meeting serious as if it was a meeting.",
"Yeah, sort of like offline, create a virtual meeting, which which basically treats the meeting series as if it was a meeting.",
"Yeah, sort of like offline, create a virtual meeting, which which basically treats the meeting serious as if it was a meeting."
] |
['yeah sort of like offline create a virtual meeting which which basically treats the meeting series as if it was a meeting', 'yeah sort of like offline create a virtual meeting which which basically treats the meeting series as if it was a meeting', 'yeah sort of like offline create a virtual meeting which which basically treats the meeting serious as if it was a meeting', 'yeah sort of like offline create a virtual meeting which which basically treats the meeting series as if it was a meeting', 'yeah sort of like offline create a virtual meeting which which basically treats the meeting serious as if it was a meeting']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
and from that we would just select what we are displaying
|
[
"And from that we would just select what we are displaying.",
"And from that, we would just select what we are displaying.",
"And from that we would just select what we were displaying.",
"From that we would just select what we are displaying.",
"And from that we would just select what we're displaying."
] |
['and from that we would just select what we are displaying', 'and from that we would just select what we are displaying', 'and from that we would just select what we were displaying', 'from that we would just select what we are displaying', 'and from that we would just select what we are displaying']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
but i suppose if you just did it globally treating a meeting as a document
|
[
"I suppose if you just did it globally, treating a meeting as a document.",
"But I suppose if you just did it globally, treating a meeting as a document.",
"I suppose if you just did it globally treating a meeting as a document.",
"I suppose, if you just did it globally, treating a meeting as a document.",
"Well I suppose if you just did it globally, treating a meeting as a document."
] |
['i suppose if you just did it globally treating a meeting as a document', 'but i suppose if you just did it globally treating a meeting as a document', 'i suppose if you just did it globally treating a meeting as a document', 'i suppose if you just did it globally treating a meeting as a document', 'well i suppose if you just did it globally treating a meeting as a document']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah
|
[
"Yeah.",
"Yeah,",
"yeah.",
"Yes.",
"Yeah?"
] |
['yeah', 'yeah', 'yeah', 'yes', 'yeah']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
i have probably got a reasonable amount because everything on my dice account can actually be deleted cause i store it all at home as well
|
[
"I've probably got a reasonable amount because everything on my dice account can actually be deleted cause I store it all at home as well.",
"I've probably got a reasonable amount because everything on my Dice account can actually be deleted cause I store it all at home as well.",
"I've probably got a reasonable amount because everything on my DICE account can actually be deleted cause I store it all at home as well.",
"I've probably got a reasonable amount because, um, everything on my dice account can actually be deleted cause I store it all at home as well.",
"I've probably got a reasonable amount because, um, everything on my dice account can actually be deleted because I store it all at home as well."
] |
['i have probably got a reasonable amount because everything on my dice account can actually be deleted cause i store it all at home as well', 'i have probably got a reasonable amount because everything on my dice account can actually be deleted cause i store it all at home as well', 'i have probably got a reasonable amount because everything on my dice account can actually be deleted cause i store it all at home as well', 'i have probably got a reasonable amount because everything on my dice account can actually be deleted cause i store it all at home as well', 'i have probably got a reasonable amount because everything on my dice account can actually be deleted because i store it all at home as well']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay
|
[
"Okay.",
"Okay,",
"OK.",
"Ok.",
"okay."
] |
['okay', 'okay', 'ok', 'ok', 'okay']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so that we can that we can treat it with the same algorithm or
|
[
"So that we can that we can treat it with the same algorithm more.",
"So that we can, that we can treat it with the same algorithm more.",
"so that we can that we can treat it with the same algorithm more.",
"So that we can that we can treat it with the same algorithm more",
"so that we can, that we can treat it with the same algorithm more."
] |
['so that we can that we can treat it with the same algorithm more', 'so that we can that we can treat it with the same algorithm more', 'so that we can that we can treat it with the same algorithm more', 'so that we can that we can treat it with the same algorithm more', 'so that we can that we can treat it with the same algorithm more']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
you mean our results
|
[
"Even our results.",
"even our results.",
"You mean our results?",
"You mean our results.",
"Beyond our results."
] |
['even our results', 'even our results', 'you mean our results', 'you mean our results', 'beyond our results']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
okay
|
[
"Okay.",
"Ok.",
"OK.",
"Okay,",
"Okay, okay."
] |
['okay', 'ok', 'ok', 'okay', 'okay okay']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah yeah
|
[
"Yeah, yeah.",
"Yeah, Yeah.",
"Yeah, yep.",
"Yeah. Yeah.",
"Yeah, Yep."
] |
['yeah yeah', 'yeah yeah', 'yeah yep', 'yeah yeah', 'yeah yep']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
they are utterances are not they
|
[
"They are utterances, aren't they?",
"They are utterances, aren't they.",
"They are utterances aren't they?",
"they are utterances, aren't they?",
"They are utterances aren't they."
] |
['they are utterances are not they', 'they are utterances are not they', 'they are utterances are not they', 'they are utterances are not they', 'they are utterances are not they']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
0 yeah f it is just like there there is like audio skimming and there is displayed skimming
|
[
"Oh yeah, it's just like that there's like audio skimming and there's displayed skimming.",
"Oh yeah, it's just like there there's like audio skimming and there's displayed skimming.",
"Oh yeah, it's just like there's like audio skimming and there's displayed skimming.",
"Oh yeah, it's just like the there's like audio skimming and there's displayed skimming.",
"Oh yeah, it's just like there, there's like audio skimming and there's displayed skimming."
] |
['0 yeah it is just like that there is like audio skimming and there is displayed skimming', '0 yeah it is just like there there is like audio skimming and there is displayed skimming', '0 yeah it is just like there is like audio skimming and there is displayed skimming', '0 yeah it is just like the there is like audio skimming and there is displayed skimming', '0 yeah it is just like there there is like audio skimming and there is displayed skimming']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah i am sure he had to deal with that last year
|
[
"Yeah, I'm sure he had to deal with that last year.",
"Yeah, I'm sure you had to deal with that last year.",
"Yeah, I'm sure he had to deal with it last year.",
"Yeah, I'm sure you had to deal with it last year.",
"Yeah I'm sure you had to deal with that last year."
] |
['yeah i am sure he had to deal with that last year', 'yeah i am sure you had to deal with that last year', 'yeah i am sure he had to deal with it last year', 'yeah i am sure you had to deal with it last year', 'yeah i am sure you had to deal with that last year']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
so we have to
|
[
"So we have to.",
"So, we have to.",
"so we have to.",
"So, We have to.",
"So we have to,"
] |
['so we have to', 'so we have to', 'so we have to', 'so we have to', 'so we have to']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
yeah they wou they would they would probably hate you for doing it
|
[
"Yeah, they they probably hate you for doing it.",
"Yeah, they probably hate you for doing it.",
"Yeah, they they they probably hate you for doing it.",
"Yeah they they probably hate you for doing it.",
"Yeah, they, they, they probably hate you for doing it."
] |
['yeah they they probably hate you for doing it', 'yeah they probably hate you for doing it', 'yeah they they they probably hate you for doing it', 'yeah they they probably hate you for doing it', 'yeah they they they probably hate you for doing it']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
but if you can put it in one single mega file that would be quite useful for me
|
[
"If you can put it in one single mega file, that would be quite useful for me.",
"Well, if you can put it in one single mega file, that would be quite useful for me.",
"If you can put it in one single mega file that would be quite useful for me.",
"Well if you can put it in one single mega file, that would be quite useful for me.",
"Well if you can put it in one single mega file that would be quite useful for me."
] |
['if you can put it in one single mega file that would be quite useful for me', 'well if you can put it in one single mega file that would be quite useful for me', 'if you can put it in one single mega file that would be quite useful for me', 'well if you can put it in one single mega file that would be quite useful for me', 'well if you can put it in one single mega file that would be quite useful for me']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
speaker and topic segmenting we will need as well
|
[
"Speaker and topic segmenting will need as well.",
"Speaker and, um, topic segmenting will need as well.",
"speaker and topic segmenting will need as well.",
"Speaker and um, topic segmenting will need as well.",
"Speaker and Topic segmenting will need as well."
] |
['speaker and topic segmenting will need as well', 'speaker and topic segmenting will need as well', 'speaker and topic segmenting will need as well', 'speaker and topic segmenting will need as well', 'speaker and topic segmenting will need as well']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
having said that are we allowed to take a copy of the icsi corpus
|
[
"Having said that, we are allowed to take a copy of the XE corpus.",
"Having said that, we are allowed to take a copy of the XE Corpus.",
"Having said that, we are allowed to take a copy of the execorpus.",
"Having said that, we are allowed to take a copy of the Exe Corpus.",
"Having said that, we're allowed to take a copy of the XE corpus."
] |
['having said that we are allowed to take a copy of the xe corpus', 'having said that we are allowed to take a copy of the xe corpus', 'having said that we are allowed to take a copy of the execorpus', 'having said that we are allowed to take a copy of the exe corpus', 'having said that we are allowed to take a copy of the xe corpus']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
are we extracting some type of title for them that we craft with some fancy algorithm or manually or we are just taking the single most highly valued key word utterance for the segment heading
|
[
"Are we extracting some type of title for them that we craft with some fancy algorithm or manually? Are we just taking the single most highly valued keyword utterance for the segment heading?",
"Are we extracting some type of title for them that we craft with some fancy algorithm manually? Are we just taking the single most highly valued keyword utterance for the segment heading?",
"Are we extracting some type of title for them that we craft with some fancy algorithm or manually, are we just taking the single most highly valued keyword utterance for the segment heading?",
"Are we extracting some type of title for them that we craft with some fancy algorithm, or manually? Are we just taking the single most highly valued keyword utterance for the segment heading?",
"Are we extracting some type of title for them that we craft with some fancy algorithm or manually, or are we just taking the single most highly valued keyword utterance for the segment heading?"
] |
['are we extracting some type of title for them that we craft with some fancy algorithm or manually are we just taking the single most highly valued keyword utterance for the segment heading', 'are we extracting some type of title for them that we craft with some fancy algorithm manually are we just taking the single most highly valued keyword utterance for the segment heading', 'are we extracting some type of title for them that we craft with some fancy algorithm or manually are we just taking the single most highly valued keyword utterance for the segment heading', 'are we extracting some type of title for them that we craft with some fancy algorithm or manually are we just taking the single most highly valued keyword utterance for the segment heading', 'are we extracting some type of title for them that we craft with some fancy algorithm or manually or are we just taking the single most highly valued keyword utterance for the segment heading']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
or just anything that i can
|
[
"or just anything that I can.",
"Or just anything that I can.",
"Or just anything that I can",
"or just anything that I can",
"or just anything that I can,"
] |
['or just anything that i can', 'or just anything that i can', 'or just anything that i can', 'or just anything that i can', 'or just anything that i can']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
like they are they are a super unit
|
[
"Like they are a super unit.",
"Like they're a super unit.",
"They are a super unit.",
"Like, they are a super unit.",
"Like, they're a super unit."
] |
['like they are a super unit', 'like they are a super unit', 'they are a super unit', 'like they are a super unit', 'like they are a super unit']
|
The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.