113 Language Resources (Page 1 of 6)

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 ANITA (Audio eNhancement In Telecom Applications)    
  • English
  • French
  • German
  • Spanish; Castilian

ID: ELRA-S0156

ISLRN: 537-894-870-719-4

ANITA (Audio eNhancement In secured Telecommunication Applications) is a European project launched on the initiative of EADS TELECOM with the objective of reducing audio acoustics noise in secured communications in adverse environments (sirens, alarms, engines, water pumps, stress situations, etc...

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 ARCADE/ROMANSEVAL corpus    
  • English
  • French
  • Italian

ID: ELRA-W0018

ISLRN: 681-769-134-114-2

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 con...

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 A "scientific" corpus of modern French ("La Recherche" magazine) - Complete version    
  • French

ID: ELRA-W0025-02

ISLRN: 798-363-116-656-4

This "scientific" corpus of modern French was produced by the University of Nantes (France) within the European Commission funded project LRsP&P (Language Resources Production & Packaging - LE4-8335). The corpus contains all articles published in La Recherche magazine in 1998, including issues 30...

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 A "scientific" corpus of modern French ("La Recherche" magazine) - Raw data    
  • French

ID: ELRA-W0025-01

ISLRN: 508-941-013-339-7

This "scientific" corpus of modern French was produced by the University of Nantes (France) through a funding from ELRA in the framework of the European Commission project LRsP&P (Language Resources Production & Packaging - LE4-8335). The corpus contains all articles published in La Recherche mag...

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 Automobile Engineering    
  • English
  • French
  • German
  • Spanish; Castilian

ID: ELRA-T0097

ISLRN: 536-306-764-088-7

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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 Basic multilingual lexicon (MEMODATA)    
  • English
  • French
  • German
  • Italian
  • Spanish; Castilian

ID: ELRA-M0001

ISLRN: 874-922-751-076-4

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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 BDBRUIT    
  • French

ID: ELRA-S0033

ISLRN: 067-749-878-515-8

A French speech database dedicated to the study of the perturbations of speech production due to noisy environments, and especially the Lombard effect. Environment: 4 noise conditions and the reference condition (quiet). The 2 noises used (a "white noise" and a "cocktail-party noise") were both p...

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 BDLEX      
  • French

ID: ELRA-S0004

ISLRN: 613-587-811-827-8

BDLEX consists of a lexical database developed within the French GDR-PRC CHM at IRIT (IMH-PT team), Paul Sabatier University, Toulouse. The data cover lexical, phonological, and morphological information. The database BDLEX consists of about 440,000 inflected forms (generated from about 50,000 c...

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 BDSONS Base de données des sons du français    
  • French

ID: ELRA-S0005

ISLRN: 353-598-244-017-0

The BDSONS Database is a French - speech database with two subsets: evaluation and acoustic modelling. The Corpora consist of 32 speakers: 16 male and 16 female (7 CD-ROMs of approximately 3,5 Gigabytes), Phonetic labelling (partly) available on additional floppies, of the following data: "Evalu...

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 BREF-120 - A large corpus of French read speech    
  • French

ID: ELRA-S0067

ISLRN: 843-228-642-422-1

BREF-120 resulted from the efforts of LIMSI-CNRS researchers under sponsorship from the GDR-PRC CHM, the ACCT (OFIL), the EEC (ESPRIT Polyglot project), and the Aupelf-Uref. A sub-set of BREF-120 is BREF-80 (ELRA-S0006), which consists of about 50-60 sentences per speaker and recordings conducted...

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 BREF-80    
  • French

ID: ELRA-S0006

ISLRN: 310-036-258-354-7

The BREF corpus was designed to provide enough read speech data for the development and evaluation of continuous speech recognition systems (both speaker-dependent and speaker-independent), and to provide a large corpus of continuous speech for the acquisition of acoustic-phonetic knowledge of sp...

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 BREF-POLYGLOT    
  • French

ID: ELRA-S0007

ISLRN: 382-431-956-363-1

The BREF-Polyglot is a sub-corpus of the BREF corpus (1 ISO9660 CDROM); it contains speaker-dependent training data from 6 speakers. There are a total of 3193 sentences (2 signal files for each sentence), on average 530 per speaker. While this data represents only a small portion of the entire BR...

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 C-ORAL-ROM - Integrated reference corpora for spoken romance languages. Multi-media edition; tools of analysis; standard linguistic measurements for validation in HLT    
  • French
  • Italian
  • Portuguese
  • Spanish; Castilian

ID: ELRA-S0172

ISLRN: 318-977-046-077-4

Description The C-ORAL-ROM resource is a multilingual corpus of spontaneous1 speech for the main romance languages of around 1,200,000 words (IST 2000-26228). The resource comprises three components: a)Multimedia corpus; b)Speech software; c)Appendix. The corpus consists of four comparable recor...

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 CRATER 2 Corpus    
  • English
  • French
  • Spanish; Castilian

ID: ELRA-W0033

ISLRN: 052-466-219-226-4

The CRATER corpus was built upon the foundations of an earlier project, ET10/63, which was funded in the final phase of the Eurotra programme. The Corpus Resources and Terminology Extraction project (MLAP-93 20) extended the bilingual annotated English-French International Telecommunications Unio...

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 CRATER corpus    
  • English
  • French
  • Spanish; Castilian

ID: ELRA-W0003

ISLRN: 645-721-607-031-5

The Corpus Resources and Terminology Extraction project (MLAP-93 20) has extended the bilingual annotated English-French International Telecommunications Union corpus to include Spanish, and has also debugged the existing corpus. The offer consists of a multi-lingual aligned corpus of 1,000,000 t...

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 DICO-MORPH_Collocation    
  • French

ID: ELRA-L0002

ISLRN: 316-221-997-443-5

Entries: up to 35000 Language: French Format: ASCII Medium: Floppy disk This is an adding for the French lexicon for morphological works (referenced herein as ELRA-L0001 DICO-MORPH_Lemme MEMODATA).

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 DICO-MORPH_Lemme    
  • French

ID: ELRA-L0001

ISLRN: 701-907-618-139-4

Entries: more than 400 000 Language: French Format: ASCII with separators Medium: CD-ROM French reusable lexicon for morphological works which produces the canonical form from the inflexional form. This lexicon is divided into the following lexical categories: nouns (55,000), verbs (8,000), a...

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 DICO-SYNT    
  • French

ID: ELRA-L0003

ISLRN: 823-800-747-350-2

Entries: 90 000 inflectional forms Language: French Format: ASCII Medium: Floppy disk This resource gives the morpho-syntactical information for DICO-MORPH_lemme: proper noun, transitive verb, ... There are around 800 categories of verbs. The lexical categories are: nouns (25,000), verbs (8.000 t...

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 DixAF (Bilingual Dictionary French Arabic, Arabic French)    
  • Arabic
  • French

ID: ELRA-M0040

ISLRN: 941-284-040-958-7

DixAF (Dictionnaire bilingue français arabe, arabe français - Bilingual Dictionary French Arabic, Arabic French) is a joint ownership of CNRS/ENS lettres et sciences humaines. It was developed by Mr Fathi Debili, a CNRS officer, and it consists of around 125,000 binary links between ca. 43,800 Fr...

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 Dutch-French Lexicon (LanTmark)    
  • Dutch; Flemish
  • French

ID: ELRA-M0004-01

ISLRN: 748-166-851-400-6

General and Specialised vocabularies for transfer Entries: General Vocabulary (26 000), Administrative (32 000), Data processing (10 000). Format: ASCII format with ISO 8859-1 character set. A lexicon file contains entries with feature value pairs on each line and separators between entries. Medi...

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