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4 Language Resources

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 LC-STAR English-Hebrew (Israel) Bilingual Aligned Phrasal lexicon      
  • English
  • Hebrew

ID: ELRA-S0236

ISLRN: 054-368-636-873-4

The LC-STAR English-Hebrew (Israel) Bilingual Aligned Phrasal lexicon was created within the scope of the LC-STAR project (IST 2001-32216) which was sponsored by the European Commission. It was designed for SST (Speech-to-Speech Translation) and ASR (Automatic Speech Recognition) applications. T...

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 LC-STAR English-Italian Bilingual Aligned Phrasal lexicon      
  • English
  • Italian

ID: ELRA-S0271

ISLRN: 678-773-434-361-5

The LC-STAR English-Italian Bilingual Aligned Phrasal lexicon was created within the scope of the LC-STAR project (IST 2001-32216) which was sponsored by the European Commission. It was designed for SST (Speech-to-Speech Translation). The lexicon comprises 10,466 phrases from the tourist domain....

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 LC-STAR English-Slovenian Bilingual Aligned Phrasal lexicon      
  • English
  • Slovenian

ID: ELRA-S0274

ISLRN: 336-577-115-310-7

The LC-STAR English-Slovenian Bilingual Aligned Phrasal lexicon was created within the scope of the LC-STAR project (IST 2001-32216) which was sponsored by the European Commission. It was designed for SST (Speech-to-Speech Translation). The lexicon comprises 12,722 phrases from the tourist domai...

MEMBERacademiccommercial
Licence: Non Commercial Use - ELRA END USER
3750.00 € submit
5500.00 € submit
Licence: Commercial Use - ELRA VAR
5500.00 € submit
5500.00 € submit
NON MEMBERacademiccommercial
Licence: Non Commercial Use - ELRA END USER
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Licence: Commercial Use - ELRA VAR
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 TC-STAR English-Spanish Training Corpora for Machine Translation: Aligned Final Text Editions of EPPS      
  • English
  • Spanish; Castilian

ID: ELRA-S0250

ISLRN: 219-619-756-916-1

TC-STAR is a European integrated project focusing on all core technologies for Speech-to-Speech Translation (SST): Automatic Speech Recognition (ASR), Spoken Language Translation (SLT), and Text to Speech Synthesis (TTS). This corpus consists of respectively 34 million (English) and 38 million (...

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