CSLU: 22 Languages Corpus
|Item Name:||CSLU: 22 Languages Corpus|
|LDC Catalog No.:||LDC2005S26|
|Release Date:||November 29, 2005|
|DCMI Type(s):||Sound, Text|
|Data Source(s):||telephone speech|
|Application(s):||language identification, language modeling, language teaching, machine translation|
|Language(s):||Yue Chinese, Vietnamese, Tamil, Swedish, Russian, Portuguese, Polish, Korean, Japanese, Indonesian, Hindi, English, German, Arabic, Swahili, Spanish, Mandarin Chinese, Italian, Hungarian, Persian, Czech|
|Language ID(s):||yue, vie, tam, swe, rus, por, pol, kor, jpn, ind, hin, eng, deu, ara, swa, spa, cmn, ita, hun, fas, ces|
|Online Documentation:||LDC2005S26 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Lander, T.. CSLU: 22 Languages Corpus LDC2005S26. Web Download. Philadelphia: Linguistic Data Consortium, 2005.|
CSLU: 22 Languages v 1.2 was developed by the Center for Spoken Language Understanding (CSLU) and contains approximately 84 hours of fixed vocabulary and fluent continuous telephone speech in 21 languages and orthographic transcriptions for a subset of the utterances.
The corpus is distributed by the Linguistic Data Consortium and includes the following languages: Eastern Arabic, Cantonese, Czech, Farsi, German, Hindi, Hungarian, Japanese, Korean, Malay, Mandarin, Italian, Polish, Portuguese, Russian, Spanish, Swedish, Swahili, Tamil, Vietnamese, and English.
All of the data in this corpus were collected over digital telephone lines. The files were recorded with the CSLU T1 digital data collection system, with an 8-bit signal and an 8 kHz sample rate, stored as ulaw files. All files are stored in standad 16-bit linear RIFF format.
Each of the 50,191 utterances is verified by a native speaker to determine if the caller followed instructions when answering the prompts. For this release, approximately 19,758 utterances have corresponding orthographic transcriptions in all the above languages except Eastern Arabic, Farsi, Korean, Russian, and Italian.
None at this time.