ID: ELRA-T0375

Automatic Term Recognition (ATR) is a research task that deals with the identification of domain-specific terms. Terms, in simple words, are textual realization of significant concepts in an expertise domain. Additionally, domain-specific terms may be classified into a number of categories, in wh...

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ID: ELRA-W0074

The Amharic-English bilingual corpus contains parallel text from legal and news domains in Amharic script, in transliterated form and in English. The size of the corpus is of 232,653 words in Amharic and 291,701 in English. This parallel corpus contains documents from two domains, namely legal...

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ID: ELRA-W0323

The annotated tweet corpus in Arabizi, French and English was built by ELDA on behalf of INSA Rouen Normandie (Normandie Université, LITIS team), in the framework of the SAPhIRS project (System for the Analysis of Information Propagation in Social Networks), funded by the DGE (Direction Générale ...

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ID: ELRA-M0105

This database is part of the ArabLEX set of data which consists of the Database of Arabic General Vocabulary (DAG), Database of Arabic Place Names (DAP), Database of Foreign Names in Arabic (DAF) and Database of Arab Names (DAN) available from ELRA under references, respectively, ELRA-L0131, ELRA...

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ID: ELRA-M0107

This database is part of the ArabLEX set of data which consists of the Database of Arabic General Vocabulary (DAG), Database of Arabic Place Names (DAP), Database of Foreign Names in Arabic (DAF) and Database of Arab Names (DAN) available from ELRA under references, respectively, ELRA-L0131, ELRA...

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ID: ELRA-M0106

This database is part of the ArabLEX set of data which consists of the Database of Arabic General Vocabulary (DAG), Database of Arabic Place Names (DAP), Database of Foreign Names in Arabic (DAF) and Database of Arab Names (DAN) available from ELRA under references, respectively, ELRA-L0131, ELRA...

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ID: ELRA-W0018

The ARCADE/ROMANSEVAL corpus was used as a reference corpus in two international competitions: · ARCADE, an exercise on multilingual text alignment financed by AUPELF-UREF · ROMANSEVAL, part of the SENSEVAL exercise sponsored by ACL-SIGLEX and EURALEX, on word sense disambiguation. The corpus ...

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ID: ELRA-T0097

Cards available: 1420 Languages: German, English, French, Spanish Card Description: Each card in this terminological database contains a definition, relation between concepts, graphics, abbreviations, notes, sub-domains, sources, grammatical labels.

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ID: ELRA-M0001

Entries: 30 000 each language Languages: French, English, Italian, German, Spanish Format: ASCII or ANSI with separators between entries Medium: CD-ROM The words are associated by the meaning. The lexical categories are: nouns (5 * 18 000), verbs (5 * 8 000), adjectives (5 * 6 000), adverbs (5 * ...

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ID: ELRA-M0049

The Basque WordNet is a lexical database including information about Basque words. It is an extension of WordNet 1.6, a lexical database for English developed at the Princeton University. The Basque WordNet is tightly aligned to the English WordNet. The Basque WordNet models nouns, verbs and ...

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ID: ELRA-M0013

The bilingual English-German collocational dictionary consists of around 69,000 English headwords, including concepts expressed by more than one word (e.g. "environmental awareness" (German:"Umweltbewusstsein") or "maximum level of possible taxation" (German:"steuerliche Belastbarkeit")) and comp...

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ID: ELRA-M0025

The Bilingual English-Russian Russian-English Dictionaries were produced by the SCIPER company through a funding from ELRA in the framework of the European Commission project LRsP&P (Language Resources Production & Packaging - LE4-8335). In this work were used linguistic resources produced origin...

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ID: ELRA-T0373

BioLexicon is a large-scale English terminological resource which has been developed to address the needs emerging in text mining efforts in the biomedical domain. It contains information on: - terminological nouns, including nominalised verbs and proper names (e.g., gene names) - terminological ...

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ID: ELRA-T0365

This bilingual terminology database produced by Kaist Korterm consists of 31 884 entries in Korean and English in the field of biology.

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ID: ELRA-L0140

The series of Bitext Lexical Datasets includes Lemmas, POS tagging, Frequency, Named Entities and Offensive features. Depending on the dataset and language, other syntactic and morphological features are also provided. The Bitext Lexical Dataset - English consists of 60,000 lemmas (180,000 forms)...

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ID: ELRA-L0154

As a complement to the generic vocabulary provided in ELRA-L0140, language variants of English are provided with the following features: Tense, Person, Number, Gender, Degree, Contraction. Variants are distributed as follows: - English US: 63,000 lemmas / 188,000 forms - English UK: 63,000 lem...

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ID: ELRA-L0202

The Bitext Synonym Data - General Language includes 31,723 entries and more than 100,000 synonyms for English language. This dataset is a set of synonyms developed to augment the English version of Wordnet, a powerful open-source lexical database, released in 2005. All synonyms can be linked to B...

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ID: ELRA-L0162

The Bitext Synthetic Data consist of pre-built training data for intent detection and are provided for 20 verticals for English language (see ELRA-L0162 to ELRA-L0181). They cover the most common intents for each vertical and include a large number of example utterances for each intent, with opti...

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ID: ELRA-L0164

The Bitext Synthetic Data consist of pre-built training data for intent detection and are provided for 20 verticals for English language (see ELRA-L0162 to ELRA-L0181). They cover the most common intents for each vertical and include a large number of example utterances for each intent, with opti...

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ID: ELRA-L0165

The Bitext Synthetic Data consist of pre-built training data for intent detection and are provided for 20 verticals for English language (see ELRA-L0162 to ELRA-L0181). They cover the most common intents for each vertical and include a large number of example utterances for each intent, with opti...

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