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@@ -36,18 +36,19 @@ Europarl-ASR (EN) includes:
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#### Speech data
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-* 1.3K hours of English-language annotated speech data.
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+* 1300 hours of English-language annotated speech data.
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+* 3 full sets of timed transcriptions: official non-verbatim transcriptions,
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+ automatically noise-filtered transcriptions and automatically verbatimized
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+ transcriptions.
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* 18 hours of speech data with both manually revised verbatim transcriptions
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and official non-verbatim transcriptions, split in 2 independent validation-
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evaluation partitions for 2 realistic ASR tasks (with vs. without previous
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knowledge of the speaker).
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-* 3 full sets of timed transcriptions for the rest of the speech data
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- (training partition): official non-verbatim transcriptions, automatically
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- noise-filtered transcriptions and automatically verbatimized transcriptions.
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+
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#### Text data
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-* 70M tokens of English-language text data.
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+* 70 million tokens of English-language text data.
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#### Pretrained language models
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@@ -275,19 +276,19 @@ Europarl-ASR (EN) includes:
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#### Speech data
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-* 1.3K hours of English-language annotated speech data (33K speeches, 1K
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+* 1300 hours of English-language annotated speech data (33K speeches, 1K
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speakers).
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+* 3 full sets of timed transcriptions: official non-verbatim transcriptions,
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+ automatically noise-filtered transcriptions and automatically verbatimized
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+ transcriptions.
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* 18 hours of speech data with both manually revised verbatim transcriptions
|
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|
and official non-verbatim transcriptions, split in 2 independent validation-
|
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|
evaluation partitions for 2 realistic ASR tasks (with vs. without previous
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|
knowledge of the speaker).
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|
-* 3 full sets of timed transcriptions for the rest of the speech data
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|
|
- (training partition): official non-verbatim transcriptions, automatically
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|
- noise-filtered transcriptions and automatically verbatimized transcriptions.
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|
|
|
#### Text data
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|
-* 70M tokens of English-language text data.
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+* 70 million tokens of English-language text data.
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#### Language models
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