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Chapter 1. Now what ?

A fresh look at language technologies and resources for translators and interpreters
  • Gloria Corpas Pastor and Fernando Sánchez Rodas
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Corpora in Translation and Contrastive Research in the Digital Age
This chapter is in the book Corpora in Translation and Contrastive Research in the Digital Age

Abstract

This chapter provides a brief outline of language technologies applied to translation and interpreting with a view to identifying challenges and research opportunities. Section 1 covers new trends within the automation of processes, the integration of language technologies in translators and interpreters’ workflows and industry demands. Section 2 moves on to other relevant technology-based resources for oral and written mediation, including new types of corpora for interpreting, computer-assisted interpreting tools (CAI) or cloud interpreting, among others. Section 3 delves into the concept of ‘tech-savviness’ and adoption of technology among language service providers (LSPs). Final thoughts are presented as a conclusion in Section 4.

Abstract

This chapter provides a brief outline of language technologies applied to translation and interpreting with a view to identifying challenges and research opportunities. Section 1 covers new trends within the automation of processes, the integration of language technologies in translators and interpreters’ workflows and industry demands. Section 2 moves on to other relevant technology-based resources for oral and written mediation, including new types of corpora for interpreting, computer-assisted interpreting tools (CAI) or cloud interpreting, among others. Section 3 delves into the concept of ‘tech-savviness’ and adoption of technology among language service providers (LSPs). Final thoughts are presented as a conclusion in Section 4.

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Corpus resources and tools 1
  4. Part I. Corpus resources and tools
  5. Chapter 1. Now what ? 23
  6. Chapter 2. ZHEN 49
  7. Chapter 3. Word alignment in a parallel corpus of Old English prose 75
  8. Chapter 4. Semantic textual similarity based on deep learning 101
  9. Chapter 5. TAligner 3.0 125
  10. Chapter 6. Developing a corpus-informed tool for Spanish professionals writing specialised texts in English 147
  11. Part II. Corpus-based studies and explorations
  12. Chapter 7. English and Spanish discourse markers in translation 177
  13. Chapter 8. The discourse markers well and so and their equivalents in the Portuguese and Turkish subparts of the TED-MDB corpus 209
  14. Chapter 9. Variation of evidential values in discourse domains 233
  15. Chapter 10. The translation for dubbing of Westerns in Spain 257
  16. Chapter 11. Generic analysis of mobile application reviews in English and Spanish 283
  17. Chapter 12. Exploring variation in translation with probabilistic language models 307
  18. Chapter 13. Binomial adverbs in Germanic and Romance Languages 325
  19. Index 343
https://doi.org/10.1075/btl.158.01cor

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Corpus resources and tools 1
  4. Part I. Corpus resources and tools
  5. Chapter 1. Now what ? 23
  6. Chapter 2. ZHEN 49
  7. Chapter 3. Word alignment in a parallel corpus of Old English prose 75
  8. Chapter 4. Semantic textual similarity based on deep learning 101
  9. Chapter 5. TAligner 3.0 125
  10. Chapter 6. Developing a corpus-informed tool for Spanish professionals writing specialised texts in English 147
  11. Part II. Corpus-based studies and explorations
  12. Chapter 7. English and Spanish discourse markers in translation 177
  13. Chapter 8. The discourse markers well and so and their equivalents in the Portuguese and Turkish subparts of the TED-MDB corpus 209
  14. Chapter 9. Variation of evidential values in discourse domains 233
  15. Chapter 10. The translation for dubbing of Westerns in Spain 257
  16. Chapter 11. Generic analysis of mobile application reviews in English and Spanish 283
  17. Chapter 12. Exploring variation in translation with probabilistic language models 307
  18. Chapter 13. Binomial adverbs in Germanic and Romance Languages 325
  19. Index 343
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