Home Chapter 6. Suggestions for a new model of functional phraseme categorization for applied purposes
Chapter
Licensed
Unlicensed Requires Authentication

Chapter 6. Suggestions for a new model of functional phraseme categorization for applied purposes

  • Anna Fankhauser
View more publications by John Benjamins Publishing Company
Search
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

Although the significance of phraseology in various fields of applied linguistics such as translation, language teaching, and (bilingual) learner lexicography is generally agreed upon, existing models of phraseme categorization largely fail to account for the needs of language practitioners and learners. Yet, a classification model for applied purposes is required, for example, to provide language practitioners and learners with a systematic list of useful phraseological items that can be applied to individual situations of language production and reception. The model suggested in the present paper consistently applies functional classification criteria and is derived from an extensive corpus study of spoken British and American English. It is hoped that the empirical approach and the focus on functional properties of phrasemes will ensure that the model is of maximum relevance for applied purposes.

Abstract

Although the significance of phraseology in various fields of applied linguistics such as translation, language teaching, and (bilingual) learner lexicography is generally agreed upon, existing models of phraseme categorization largely fail to account for the needs of language practitioners and learners. Yet, a classification model for applied purposes is required, for example, to provide language practitioners and learners with a systematic list of useful phraseological items that can be applied to individual situations of language production and reception. The model suggested in the present paper consistently applies functional classification criteria and is derived from an extensive corpus study of spoken British and American English. It is hoped that the empirical approach and the focus on functional properties of phrasemes will ensure that the model is of maximum relevance for applied purposes.

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.366.06fan

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
Sign up now to receive a 20% welcome discount
Institutional Access
How does access work?
Have an idea on how to improve our website?
Please write us.
© 2025 De Gruyter Brill
Downloaded on 8.9.2025 from https://www.degruyterbrill.com/document/doi/10.1075/cilt.366.06fan/pdf
Scroll to top button