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Chapter 7. Verb collocations and their semantics in the specialized language of science

  • Eva Lucía Jiménez-Navarro
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Recent Advances in Multiword Units in Machine Translation and Translation Technology
This chapter is in the book Recent Advances in Multiword Units in Machine Translation and Translation Technology

Abstract

This chapter is concerned with verb collocations in the specialized language of science. I pay attention to their semanticity, since my main objective is to discover the topics evoked in terms of their integrating elements. The methodology applied is as follows: first, I compile a specialized corpus of research articles; second, I automatically extract a list of collocation candidates, which is manually revised; third, the selected collocations are semantically classified. As this work is motivated by a previous study on noun collocations, I perform a comparative analysis. The findings are that noun and verb collocations share similar semantic frames, although the method employed in each study yields different, but complementary, results.

Abstract

This chapter is concerned with verb collocations in the specialized language of science. I pay attention to their semanticity, since my main objective is to discover the topics evoked in terms of their integrating elements. The methodology applied is as follows: first, I compile a specialized corpus of research articles; second, I automatically extract a list of collocation candidates, which is manually revised; third, the selected collocations are semantically classified. As this work is motivated by a previous study on noun collocations, I perform a comparative analysis. The findings are that noun and verb collocations share similar semantic frames, although the method employed in each study yields different, but complementary, results.

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Preface vii
  4. Section 1. Computational treatment of multiword units
  5. Chapter 1. Multi-word units in neural machine translation 2
  6. Chapter 2. ReGap 18
  7. Chapter 3. Evaluating the Italian-English machine translation quality of MWUs in the domain of archaeology 40
  8. Chapter 4. Post-editing neural machine translation in specialised languages 57
  9. Chapter 5. Evaluating a bracketing protocol for multiword terms 79
  10. Section 2. Corpus-based and linguistic studies in phraseology
  11. Chapter 6. Suggestions for a new model of functional phraseme categorization for applied purposes 104
  12. Chapter 7. Verb collocations and their semantics in the specialized language of science 124
  13. Chapter 8. Negative–positive adjective pairing in travel journalism in English, Italian, and Polish 141
  14. Chapter 9. The middle construction and some machine translation issues 156
  15. Chapter 10. Semantic annotation of named rivers and its application for the prediction of multiword-term bracketing 173
  16. Chapter 11. Irony in American-English tweets 197
  17. Chapter 12. A comprehensive Japanese MWE lexicon 218
  18. Chapter 13. Ontology-based formalisation of Italian clitic verbal MWEs 243
  19. Index 263
https://doi.org/10.1075/cilt.366.07jim

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Preface vii
  4. Section 1. Computational treatment of multiword units
  5. Chapter 1. Multi-word units in neural machine translation 2
  6. Chapter 2. ReGap 18
  7. Chapter 3. Evaluating the Italian-English machine translation quality of MWUs in the domain of archaeology 40
  8. Chapter 4. Post-editing neural machine translation in specialised languages 57
  9. Chapter 5. Evaluating a bracketing protocol for multiword terms 79
  10. Section 2. Corpus-based and linguistic studies in phraseology
  11. Chapter 6. Suggestions for a new model of functional phraseme categorization for applied purposes 104
  12. Chapter 7. Verb collocations and their semantics in the specialized language of science 124
  13. Chapter 8. Negative–positive adjective pairing in travel journalism in English, Italian, and Polish 141
  14. Chapter 9. The middle construction and some machine translation issues 156
  15. Chapter 10. Semantic annotation of named rivers and its application for the prediction of multiword-term bracketing 173
  16. Chapter 11. Irony in American-English tweets 197
  17. Chapter 12. A comprehensive Japanese MWE lexicon 218
  18. Chapter 13. Ontology-based formalisation of Italian clitic verbal MWEs 243
  19. Index 263
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