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6 Language Resources

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 Chinese-Vietnamese Parallel Corpus    
  • Chinese
  • Vietnamese

ID: ELRA-W0312

ISLRN: 128-772-037-486-0

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.

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 English-Chinese-Vietnamese Trilingual Parallel Corpus    
  • Chinese
  • English
  • Vietnamese

ID: ELRA-W0314

ISLRN: 637-630-726-817-9

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.

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 English-Vietnamese Parallel Corpus    
  • English
  • Vietnamese

ID: ELRA-W0124

ISLRN: 838-483-738-912-8

This is a corpus of 500,000 English-Vietnamese sentence pairs, built to develop SMT (Statistical Machine Translation) systems. The parallel corpus contains English documents translated by professional translators into Vietnamese. The source texts include books, dictionaries, newspapers, online ne...

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 English-Vietnamese Parallel Corpus    
  • English
  • Vietnamese

ID: ELRA-W0311

ISLRN: 893-470-491-825-6

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.

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 Korean-Vietnamese Parallel Corpus    
  • Korean
  • Vietnamese

ID: ELRA-W0313

ISLRN: 365-128-449-700-7

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.

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 Monolingual Vietnamese Annotated Corpus    
  • Vietnamese

ID: ELRA-W0310

ISLRN: 004-081-406-421-7

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.

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