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666 Language Resources (Page 1 of 34)

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 2006 CoNLL Shared Task – Arabic & Czech    
  • Arabic
  • Czech

ID: ELRA-W0087

ISLRN: 798-485-294-792-1

2006 CoNLL Shared Task – Arabic & Czech consists of dependency treebanks used as part of the CoNLL 2006 shared task on multi-lingual dependency parsing. The Conference on Computational Natural Language Learning (CoNLL) is accompanied every year by a shared task intended to promote natural lan...

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 2006 CoNLL Shared Task - Ten Languages    
  • Bulgarian
  • Danish
  • Dutch; Flemish
  • German
  • Japanese
  • Portuguese
  • Slovenian
  • Spanish; Castilian
  • Swedish
  • Turkish

ID: ELRA-W0086

ISLRN: 578-227-532-044-0

2006 CoNLL Shared Task - Ten Languages consists of dependency treebanks in ten languages used as part of the CoNLL 2006 shared task on multi-lingual dependency parsing. The languages covered in this release are: Bulgarian, Danish, Dutch, German, Japanese, Portuguese, Slovene, Spanish, Swedish and...

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 2007 CoNLL Shared Task - Arabic & English    
  • Arabic
  • English

ID: ELRA-W0123

ISLRN: 505-782-255-628-8

2007 CoNLL Shared Task - Arabic & English consists of dependency treebanks in two languages used as part of the CoNLL 2007 shared task on multi-lingual dependency parsing and domain adaptation. The languages covered in this release are: Arabic and English. The Conference on Computational Natur...

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 2007 CoNLL Shared Task - Basque, Catalan, Czech & Turkish    
  • Basque
  • Catalan; Valencian
  • Czech
  • Turkish

ID: ELRA-W0121

ISLRN: 769-620-932-723-2

2007 CoNLL Shared Task - Basque, Catalan, Czech & Turkish consists of dependency treebanks in four languages used as part of the CoNLL 2007 shared task on multi-lingual dependency parsing and domain adaptation. The languages covered in this release are: Basque, Catalan, Czech and Turkish. The ...

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 2007 CoNLL Shared Task - Greek, Hungarian & Italian    
  • Hungarian
  • Italian
  • Modern Greek (1453-)

ID: ELRA-W0122

ISLRN: 270-733-242-642-3

2007 CoNLL Shared Task - Greek, Hungarian & Italian consists of dependency treebanks in three languages used as part of the CoNLL 2007 shared task on multi-lingual dependency parsing and domain adaptation. The languages covered in this release are: Greek, Hungarian and Italian. The Conference ...

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 88milSMS. A corpus of authentic text messages in French    
  • French

ID: ELRA-W0082

ISLRN: 024-713-187-947-8

A pluridisciplinary team of linguists and computer scientists (Rachel Panckhurst, Catherine Détrie, Cédric Lopez, Claudine Moïse, Mathieu Roche, Bertrand Verine (Praxiling, Lirmm, Lidilem, Tetis, Viseo) collected more than 88,000 French authentic text messages in Montpellier (2011), as part of th...

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 Accented English GlobalPhone    
  • English

ID: ELRA-S0389

ISLRN: 574-579-221-841-3

The Accented English part of the GlobalPhone resources contains 63 recording sessions of Bulgarian, Chinese, German, and Indian native speakers reading 37 English sentences each, produced in GlobalPhone-style, i.e. 16kHz PCM encoded audio recordings of utterance-segmented read speech from the new...

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 ACCOR - English    
  • English

ID: ELRA-S0001

ISLRN: 936-783-643-804-4

ACCOR is a unique acoustic and articulatory database recorded as part of the ESPRIT- ACCOR project investigating cross-language acoustic-articulatory correlations in coarticulatory processes. The European Languages covered are: Catalan, English, French, German, Irish Gaelic, Italian and Swedish. ...

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 Acoustic database for Polish concatenative speech synthesis    
  • Polish

ID: ELRA-S0342

ISLRN: 305-222-372-690-4

This database consists of 1443 nonsense words including all the diphones for the Polish language. The diphone is always placed at an unstressed syllable. The neighbourhood doesn’t influence the co-articulation of the diphone. The database includes information such as: the name of the diphone, co...

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 Acoustic database for Polish unit selection speech synthesis    
  • Polish

ID: ELRA-S0339

ISLRN: 981-910-282-065-4

This database contains parliamentary statements and newspaper reviews read by a semi-professional male speaker. It consists of a selection of 2150 sentences annotated and manually verified, including 100 rare phonemes in words. Prompts vary in length from 2.3 to 13.4 seconds, with an average leng...

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 aGender    
  • German

ID: ELRA-S0365

ISLRN: 038-476-412-610-4

aGender contains speech sample recordings over public telephone lines with read and (semi-)spontaneous speech. Native German speakers called a voice portal from their private phone, and read text + answered some open questions. The purpose of the corpus is the automatic detection of gender and/or...

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 Ahoslabi - esophageal speech database    
  • Spanish; Castilian

ID: ELRA-S0413

ISLRN: 425-664-403-057-4

Ahoslabi was built within the frame of the RESTORE project (“Restauración, almacenamiento y rehabilitación de la voz”) (restrictions apply) and has received funding from Spanish Ministry of Economy and Competitiveness with FEDER support (RESTORE project, TEC2015-67163- C2-1-R), the Basque Governm...

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 Albayzin corpus    
  • Spanish; Castilian

ID: ELRA-S0089

ISLRN: 443-392-902-600-9

This corpus consists of 3 sub-corpora of 16 kHz 16 bits signals, recorded by 304 Castillian speakers. The 3 sub-corpora are: - Phonetic corpus: 6,800 utterances of phonetically balanced sentences, including 1000 with phonetic segmentation. - Geographic corpus: 6,800 utterances of sentences ext...

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 Alcohol Language Corpus (BAS ALC)    
  • German

ID: ELRA-S0299

ISLRN: 780-368-852-139-3

ALC contains recordings of German speakers that are either intoxicated or sober. The type of speech ranges from read single digits to full conversation style. Recordings were done during drinking test where speakers drank beer or wine to reach a self-chosen level of alcoholic intoxication. The ac...

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 Al-Hayat Arabic Corpus    
  • Arabic

ID: ELRA-W0030

ISLRN: 365-777-769-398-7

The corpus was developed in the course of a research project at the University of Essex, in collaboration with the Open University. The corpus contains Al-Hayat newspaper articles with value added for Language Engineering and Information Retrieval applications development purposes. The data have ...

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 ALLIES Corpus    
  • French

ID: ELRA-S0486

ISLRN: 397-116-696-859-2

The ALLIES Corpus was produced within the European CHIST-Era project ALLIES. The ALLIES project enabled to carry out a campaign for the evaluation of Broadcast News across time diarization systems using French data. This project is an extension of the previous ESTER, REPERE and ETAPE evaluation c...

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 Amaryllis Corpus - Evaluation Package    
  • French

ID: ELRA-W0029

ISLRN: 786-395-313-491-8

Launched at the end of 1995, the AMARYLLIS project aimed at evaluating information retrieval software for French text corpora in order to provide a methodology for the evaluation of other similar tools. AMARYLLIS was organised by the Institut de l'Information Scientifique et Technique (INIST) wit...

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 American/Canadian English Speech Recognition Corpus (headset+mobile)    
  • English

ID: ELRA-S0228-102

ISLRN: 992-319-311-431-0

This corpus comprises 12,974 entries uttered by 30 speakers (15 males and 15 females), recorded over 2 channels (headset and mobile in noisy restaurant/shopping mall/info center/hospital/station/car). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 12 hours of speech per ch...

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 American English Conversational Speech Recognition Corpus (Multi-Channel)    
  • English

ID: ELRA-S0228-93

ISLRN: 576-996-121-023-5

This corpus was recorded by 20 speakers (10 males and 10 females), over 7 channels (multi-channel in quiet office/home). Speech samples are stored as a sequence of 16-bit 16 kHz for a total of 10 hours of speech per channel.

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 American English Speech Recognition Corpus (Desktop)    
  • English

ID: ELRA-S0228-79

ISLRN: 254-019-000-249-3

This corpus comprises 49,990 entries uttered by 50 speakers (25 males and 25 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 16kHz for a total of 24.9 hours of speech per channel.

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