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Recent Advances in Multiword Units in Machine Translation and Translation Technology

Om Recent Advances in Multiword Units in Machine Translation and Translation Technology

The investigation of phraseology through corpus-based and computational approaches holds significant relevance for various professionals, including translators, interpreters, terminologists, lexicographers, language instructors, and learners. Computational Phraseology, and in particular the computational analysis of multiword expressions (also known as multiword units), has gained prominence in recent years and is essential for a number of Natural Language Processing and Translation Technology applications. The failure to detect these units automatically could result in incorrect and problematic automatic translations and could hinder the performance of applications such as text summarisation and web search. Against this background, the volume offers 13 articles carefully selected and organised into two parts: 'Computational treatment of multiword units' and 'Corpus-based and linguistic studies in phraseology'. The contributions not only highlight the latest advancements in computational and corpus-based phraseology but also reiterate its vital role in all areas of language technologies, including basic and applied research.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9789027217905
  • Bindende:
  • Hardback
  • Sider:
  • 264
  • Utgitt:
  • 7. november 2024
  • Dimensjoner:
  • 247x168x18 mm.
  • Vekt:
  • 630 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 20. januar 2025

Beskrivelse av Recent Advances in Multiword Units in Machine Translation and Translation Technology

The investigation of phraseology through corpus-based and computational approaches holds significant relevance for various professionals, including translators, interpreters, terminologists, lexicographers, language instructors, and learners. Computational Phraseology, and in particular the computational analysis of multiword expressions (also known as multiword units), has gained prominence in recent years and is essential for a number of Natural Language Processing and Translation Technology applications. The failure to detect these units automatically could result in incorrect and problematic automatic translations and could hinder the performance of applications such as text summarisation and web search. Against this background, the volume offers 13 articles carefully selected and organised into two parts: 'Computational treatment of multiword units' and 'Corpus-based and linguistic studies in phraseology'. The contributions not only highlight the latest advancements in computational and corpus-based phraseology but also reiterate its vital role in all areas of language technologies, including basic and applied research.

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