This is the new version of the ELRA Catalogue of Language Resources. If you would like to view the older version, click here

An increasing number of LRs in the various fields of Human Language Technology (see image on the left-hand side) are distributed on behalf of ELRA via its operational body ELDA, thanks to the contribution of various players of the HLT community.
Our aim is to provide Language Resources, by means of this repository, so as to prevent researchers and developers from investing efforts to rebuild resources which already exist as well as help them identify and access those resources.

Latest Resources

• Punjabi-English parallel corpus

  The Punjabi-English parallel corpus contains 259,623 aligned sentences. It is derived from 8 parallel English-Punjab Corpora: - EMILLE Corpus: (General domain): 5,431 sentences - TDIL Health Corpus: 24,605 sentences - TDIL Tourism Corpus: 26,823 sentences - TDIL Sport Corpus: 2,946 sentences - TDIL Agriculture Corpus: 249 sentences - Brills Bilingual ...

• French-Vietnamese Dictionary

  The French-Vietnamese Dictionary consists of 82,768 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples. All headwords are pronounced with true voice by native speakers. The dictionary is provided in XML format.

• German-Vietnamese Dictionary

  The German-Vietnamese Dictionary consists of 32,511 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples available only for the source language. Headword (in Vietnamese) has true voice by native speakers.

• Vietnamese-French Dictionary

  The Vietnamese-French Dictionary consists of 43,296 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples for source language only. The dictionary is provided in XML format.

• Vietnamese-German Dictionary

  The Vietnamese-German Dictionary consists of 42,793 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples available only for the source language.

• Ema-lon Manipuri Corpus (including word embedding and language model)

  The Ema-lon Manipuri Corpus consists of a set of resources for Manipuri language (locally known as Meiteilon) for the purpose of machine translation. The main source for these resources is the Sangai Express news website. The resources that constitute the present corpus are listed below: 1. EM Corpus, abbreviation of ...

• NRC Emotion Lexicon - Revised version

  The NRC Emotion Lexicon was originally built by Saif M. Mohammad and Peter D. Turney through crowdsourcing. The NRC was created in order to assist with emotion analysis as other emotion lexicons were smaller at the time. In order to be able to fix this problem, Saif crowdsourced a huge ...

• Persian Ezafe Construction Dataset

  The Persian Ezafe Construction Dataset includes gold Ezafe tags in almost 30 thousand Persian sentences. The sentences were manually annotated by six annotators who where all native Persian speakers and linguists. The inter-annotator agreement of a small portion of the data (one thousand sentences) is 99.6%. Ezafe is an unstressed ...

• Korean-Vietnamese Dictionary

  The Korean-Vietnamese Dictionary consists of 37,678 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples available only for source language. The dictionary is provided in XML format.

• Korean-Vietnamese Parallel Corpus

  The Korean-Vietnamese Parallel Corpus consists of 200,000 sentence pairs, with an average length of 15 words per sentence. The corpus is provided in XML format and is annotated according to TEI-encoding guidelines.

• Chinese-Vietnamese Dictionary

  The Chinese-Vietnamese Dictionary consists of 52,470 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples. The dictionary is provided in XML format.

• Vietnamese-Korean Dictionary

  The Vietnamese-Korean Dictionary consists of 27,449 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples available only for the source language. The dictionary is provided in XML format.

• Vietnamese-Japanese Dictionary

  The Vietnamese-Japanese Dictionary consists of 65,000 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples available for source language only. The dictionary is provided in XML format.

• English-Chinese-Vietnamese Trilingual Parallel Corpus

  The English-Chinese-Vietnamese Trilingual Parallel Corpus consists of 20,046 trilingual sets of sentence pairs. The corpus is provided in XML format and is annotated according to TEI-encoding guidelines.

• English-Vietnamese Parallel Corpus

  The English-Vietnamese Parallel Corpus consists of 1,000,000 sentence pairs, with an average length of 20 words per sentence. The corpus is provided in XML format and is annotated according to TEI-encoding guidelines.

• Monolingual Vietnamese Annotated Corpus

  The Monolingual Vietnamese Annotated Corpus consists of 100,000 sentences, manually annotated with word boundaries, POS, named entities, with an average length of 20 words per sentence. The corpus is provided in XML format and is annotated according to TEI-encoding guidelines.

• Japanese-Vietnamese Dictionary

  The Japanese-Vietnamese Dictionary consists of 59,369 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples for source language only. The dictionary is provided in XML format.

• Vietnamese-English Dictionary

  The Vietnamese-English Dictionary consists of 156,000 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples for source language only. The dictionary is provided in XML format.

• English-Vietnamese Dictionary

  The English-Vietnamese Dictionary consists of 125,000 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples for the source language only. The dictionary is provided in XML format.

• Vietnamese-Chinese Dictionary

  The Vietnamese-Chinese Dictionary consists of 50,911 entries containing the following information: phonetics (using IPA), morphology, grammar, semantics, pragmatics and examples for the source language only. The dictionary is provided in XML format.

• Chinese-Vietnamese Parallel Corpus

  The Chinese-Vietnamese Parallel Corpus consists of 200,000 sentence pairs, with an average length of 15 words per sentence. The corpus is provided in XML format and is annotated according to TEI-encoding guidelines.

• Arabic Speech Corpus

  This speech corpus has been developed as part of a PhD work carried out by Nawar Halabi at the University of Southampton. The corpus was recorded through a Neumann TLM 103 Studio Microphone by one male speaker in South Levantine Arabic (Damascian accent) in a professional studio. The transcript was ...

• Ahoslabi - esophageal speech database

  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 Government (PIBA-018-0035) and by the European Union's H2020 research and innovation ...

• Japanese Kids Speech database (Lower Grade)

  The Japanese Kids Speech database (Lower Grade) contains the total recordings of 179 Japanese Kids speakers (71 males and 108 females), from 6 to 9 years' old (first, second and third graders in elementary school), recorded in quiet rooms using smartphones. This database may be combined with the Japanese Kids ...

• Japanese Kids Speech database (Upper Grade)

  The Japanese Kids Speech database (Upper Grade) contains the total recordings of 232 Japanese Kids speakers (104 males and 128 females), from 9 to 13 years’ old (fourth, fifth and sixth graders in elementary school), recorded in quiet rooms using smartphones. This database may be combined with the Japanese Kids ...

• CAREGIVER Corpus

  A multi-lingual speech corpus used for modeling language acquisition called CAREGIVER has been designed and recorded within the framework of the EU funded Acquisition of Communication and Recognition Skills (ACORNS) project. The motivation behind the corpus and its design relies on current knowledge regarding infant language acquisition. Instead of recording ...

• MDT Mandarin Chinese Conversational Recognition Corpus – 2 channels

  This dataset consists of 4.98 hours of transcribed conversational speech in Mandarin Chinese, where 30 conversations are uttered by 32 speakers (16 males and 16 females). The audios are sampled at 16 kHz and quantized at 16 bits. For each conversation, there are two close-talking channels recorded via the microphones, ...

• MDT Mandarin Chinese Conversational Recognition Corpus – 1 channel

  This dataset consists of 4.98 hours of transcribed conversational speech in Mandarin Chinese, where 30 conversations are uttered by 32 speakers (16 males and 16 females). The audios are sampled at 16 kHz and quantized at 16 bits. For each conversation, there are two close-talking channels recorded via the microphones, ...

• MDT Mandarin Chinese Conversational Recognition Corpus – Complete set

  This dataset consists of 4.98 hours of transcribed conversational speech in Mandarin Chinese, where 30 conversations are uttered by 32 speakers (16 males and 16 females). The audios are sampled at 16 kHz and quantized at 16 bits. For each conversation, there are two close-talking channels recorded via the microphones, ...

• MDT Mandarin Chinese Conversational Recognition Corpus – 3 channels

  This dataset consists of 4.98 hours of transcribed conversational speech in Mandarin Chinese, where 30 conversations are uttered by 32 speakers (16 males and 16 females). The audios are sampled at 16 kHz and quantized at 16 bits. For each conversation, there are two close-talking channels recorded via the microphones, ...

• Korean Speech Recognition Corpus (Desktop+Mobile)

  This corpus comprises 32,247 entries uttered by 52 speakers (26 males and 26 females), recorded over 3 channels (desktop and mobile in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 15.76 hours of speech per channel.

• Italian Speech Recognition Corpus (Desktop)

  This corpus comprises 49,994 entries uttered by 50 speakers (23 males and 27 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 24.21hours of speech per channel.

• Canadian English Speech Recognition Corpus (Telephone) - person name

  This corpus comprises 2,250 entries uttered by 150 speakers (106 males and 44 females), recorded over the telephone network. Speech samples are stored as a sequence of 16-bit 8 kHz for a total of 2.83 hours of speech.

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

  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 channel.

• Canadian English Speech Recognition Corpus (Telephone) - place name

  This corpus comprises 2,400 entries uttered by 150 speakers (106 males and 44 females), recorded over the telephone network. Speech samples are stored as a sequence of 16-bit 8 kHz for a total of 2.24 hours of speech.

• American English Speech Recognition Corpus (Desktop)

  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.

• Canadian French Speech Recognition Corpus (Mobile)

  This corpus comprises 75,147 entries uttered by 50 speakers (25 males and 25 females), recorded over 3 channels (mobile quiet office). Speech samples are stored as a sequence of 16-bit 16kHz for a total of 25.67 hours of speech per channel.

• German Kids Speech Recognition Corpus (Desktop)

  This corpus comprises 9,572 entries uttered by 30 speakers (15 males and 15 females), recorded over 2 channels (desktop in quiet office/home). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 4.25 hours of speech per channel.

• American Spanish Recognition Corpus (Desktop+Mobile)

  This corpus comprises 33,527 entries uttered by 40 speakers (21 males and 19 females), recorded over 2 channels (desktop in quiet office and mobile in noisy restaurant). Speech samples are stored as a sequence of 16-bit 16kHz for a total of 14.7 hours of speech per channel.

• Australian English Kids Speech Recognition Corpus (Desktop)

  This corpus comprises 9,596 entries uttered by 30 speakers (15 males and 15 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 5 hours of speech per channel.

• Chinese Mandarin Speech Recognition Corpus (Mobile)

  This corpus comprises 91,729 entries uttered by 304 speakers (151 males and 153 females), recorded over the mobile telephone network. Speech samples are stored as a sequence of 16-bit 16kHz for a total of 67.4 hours of speech.

• Taiwanese Speech Recognition Corpus (Desktop)

  This corpus comprises 107,924 entries uttered by 54 speakers (27 males and 27 females), recorded over 4 channels (desktop in quiet office/home). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 43.78 hours of speech per channel.

• Spain Spanish Speech Recognition Corpus (Desktop)

  This corpus comprises 49,998 entries uttered by 50 speakers (28 males and 22 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 23.64 hours of speech per channel.

• Japanese Speech Recognition Corpus (Desktop)

  This corpus comprises 97,908 entries uttered by 50 speakers (26 males and 23 females), recorded over 4 channels (desktop in quiet office/home). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 28.31 hours of speech per channel.

• British English Speech Recognition Corpus (Mobile)

  This corpus comprises 63,495 entries uttered by 54 speakers (27 males and 27 females), recorded over 3 channels (mobile in noisy café/restaurant/street). Speech samples are stored as a sequence of 16-bit 16 kHz for a total of 22.3 hours of speech per channel.

• Chinese Mandarin Speech Recognition Corpus (Mobile)

  This corpus comprises 120,144 entries uttered by 400 speakers (199 males and 201 females), recorded over the mobile telephone network. Speech samples are stored as a sequence of 16-bit 16 kHz for a total of 204.2 hours of speech.

• British English Kids Speech Recognition Corpus (Desktop)

  This corpus comprises 19,196 entries uttered by 30 speakers (15 males and 15 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 3.65 hours of speech per channel.

• Canadian English Speech Recognition Corpus (Telephone) - sentences

  This corpus comprises 1,500 entries uttered by 150 speakers (106 males and 44 females), recorded over the telephone network. Speech samples are stored as a sequence of 16-bit 8 kHz for a total of 2.09 hours of speech.

• Spain Spanish Kids Speech Recognition Corpus (Desktop)

  This corpus comprises 9,920 entries uttered by 31 speakers (16 males and 15 females), recorded over 2 channels (desktop in quiet office/home). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 4.75 hours of speech per channel.

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

  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.

• Japanese English Speech Recognition corpus(Mobile)

  This corpus comprises 219,139 entries uttered by 402 speakers (200 males and 202 females), recorded over the mobile telephone network over 2 channels. Speech samples are stored as a sequence of 16-bit 16kHz for a total of 172.9 hours of speech per channel.

• Chinese English Speech Recognition Corpus (Desktop)

  This corpus comprises 30,076 entries uttered by 100 speakers (48 males and 52 females), recorded over desktop in quiet office. Speech samples are stored as a sequence of 16-bit 16 kHz for a total of 60.28 hours of speech per channel.

• Italian Kids Speech Recognition Corpus (Desktop)

  This corpus comprises 19,788 entries uttered by 31 speakers (15 males and 16 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 4.9 hours of speech per channel.

• Canadian English Speech Recognition Corpus (Desktop)

  This corpus comprises 6,976 entries uttered by 150 speakers (80 males and 70 females), recorded over 4 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 3.86 hours of speech per channel.