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Multiword expressions in multilingual information extraction

  • Gregor Thurmair
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Multiword Units in Machine Translation and Translation Technology
This chapter is in the book Multiword Units in Machine Translation and Translation Technology

Abstract

Multilingual Information Extraction requires significant Multiword Expressions (MWE) processing as many such items are multiwords. The lexical representation of MWEs supports large bilingual lexicons (for Persian, Pashto, Turkish, Arabic); multiwords are represented like single words, extended by two annotations: MWE head, and lemma plus part of speech for the MWE parts. In text analysis, MWEs are recognised as part of the parsing process, mot as pre- or post-processing components. The analysis design extends the X-bar scheme by a level for multiword rules. In transfer, MWEs are translated as elementary nodes like single word lemmata, to present key concepts for relevance judgement in Information Extraction. Evaluation shows that 90% of the MWE patterns in the lexicon can be analysed with about 150 MWE-specific rules, and that more than 90% of text document tokens are covered by the proposed integrated single and multiword processing.

Abstract

Multilingual Information Extraction requires significant Multiword Expressions (MWE) processing as many such items are multiwords. The lexical representation of MWEs supports large bilingual lexicons (for Persian, Pashto, Turkish, Arabic); multiwords are represented like single words, extended by two annotations: MWE head, and lemma plus part of speech for the MWE parts. In text analysis, MWEs are recognised as part of the parsing process, mot as pre- or post-processing components. The analysis design extends the X-bar scheme by a level for multiword rules. In transfer, MWEs are translated as elementary nodes like single word lemmata, to present key concepts for relevance judgement in Information Extraction. Evaluation shows that 90% of the MWE patterns in the lexicon can be analysed with about 150 MWE-specific rules, and that more than 90% of text document tokens are covered by the proposed integrated single and multiword processing.

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. About the editors vii
  4. Multiword units in machine translation and translation technology 1
  5. Part 1. Multiword units in machine translation
  6. Analysing linguistic information about word combinations for a Spanish-Basque rule-based machine translation system 41
  7. How do students cope with machine translation output of multiword units? An exploratory study 61
  8. Aligning verb + noun collocations to improve a French-Romanian FSMT system 81
  9. Part 2. Multiword units in multilingual NLP applications
  10. Multiword expressions in multilingual information extraction 103
  11. A multilingual gold standard for translation spotting of German compounds and their corresponding multiword units in English, French, Italian and Spanish 125
  12. Dutch compound splitting for bilingual terminology extraction 147
  13. Part 3. Identification and translation of multiword units
  14. A flexible framework for collocation retrieval and translation from parallel and comparable corpora 165
  15. On identification of bilingual lexical bundles for translation purposes 181
  16. The quest for croatian idioms as multiword units 201
  17. Corpus analysis of croatian constructions with the verb doći ‘to come’ 223
  18. Anaphora resolution, collocations and translation 243
  19. Index 257
https://doi.org/10.1075/cilt.341.05thu

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. About the editors vii
  4. Multiword units in machine translation and translation technology 1
  5. Part 1. Multiword units in machine translation
  6. Analysing linguistic information about word combinations for a Spanish-Basque rule-based machine translation system 41
  7. How do students cope with machine translation output of multiword units? An exploratory study 61
  8. Aligning verb + noun collocations to improve a French-Romanian FSMT system 81
  9. Part 2. Multiword units in multilingual NLP applications
  10. Multiword expressions in multilingual information extraction 103
  11. A multilingual gold standard for translation spotting of German compounds and their corresponding multiword units in English, French, Italian and Spanish 125
  12. Dutch compound splitting for bilingual terminology extraction 147
  13. Part 3. Identification and translation of multiword units
  14. A flexible framework for collocation retrieval and translation from parallel and comparable corpora 165
  15. On identification of bilingual lexical bundles for translation purposes 181
  16. The quest for croatian idioms as multiword units 201
  17. Corpus analysis of croatian constructions with the verb doći ‘to come’ 223
  18. Anaphora resolution, collocations and translation 243
  19. Index 257
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