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Lexical/Conceptual:
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4 Language Resources

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 ECI/MCI (European Corpus Initiative/Multilingual Corpus I)    
  • Albanian
  • Bulgarian
  • Chinese
  • Czech
  • Danish
  • Dutch; Flemish
  • English
  • Estonian
  • French
  • German
  • Italian
  • Japanese
  • Latin
  • Lithuanian
  • Malay (macrolanguage)
  • Modern Greek (1453-)
  • Norwegian
  • Portuguese
  • Russian
  • Scottish Gaelic; Gaelic
  • Serbian
  • Spanish; Castilian
  • Swedish
  • Turkish
  • Uzbek

ID: ELRA-W0004

ISLRN: 511-168-567-582-5

The European Corpus Initiative (ECI) was founded to oversee the acquisition and preparation of a large multilingual corpus, and supports existing and projected national and international efforts to carefully design, collect and publish large-scale multilingual written and spoken corpora. ECI has ...

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 EnToSSLNE - a Lexicon of Parallel Named Entities from English to South Slavic Languages    
  • Bosnian
  • Bulgarian
  • Croatian
  • English
  • Macedonian
  • Serbian
  • Slovenian

ID: ELRA-M0051

ISLRN: 690-348-503-270-1

This lexicon contains multiword entries which are not strictly named entities, but contain a word which is. For example, German shepherd is an entry in this lexicon, since many dogs of this breed exist. But, the adjective German makes it a named entity in a broader sense. Accordingly, there are m...

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 KORLEX – Serbian Lexicon    
  • Serbian

ID: ELRA-L0066

ISLRN: 514-505-478-814-0

This lexical resource was developed as part of the bilingual lexicon for English-Serbian built for the following project: http://www.rjecnik.com. The lexicon data is compiled with the objective of covering the majority of text circulating in everyday use, such as in the news (e.g., newswire arti...

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 Serbian emotional speech database (GEES)    
  • Serbian

ID: ELRA-S0385

ISLRN: 462-780-920-598-3

The database contains recordings from six actors, three of each gender. The following emotions have been recorded: neutral, anger, happiness, sadness and fear. The database consists of: 32 isolated words, 30 short semantically neutral sentences, 30 long semantically neutral sentences and one pass...

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