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Chapter 3. Word alignment in a parallel corpus of Old English prose

From asymmetry to inter-syntactic annotation
  • Javier Martín Arista
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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 proposes a model of syntactic annotation for the Parallel Corpus of Old English Prose, an aligned corpus of Old English and Present Day English texts. The research focuses on areas of syntactic divergence between the aligned texts. Syntactic divergence is described in terms of four types of alignment asymmetry (markedness, constituency, order, and configuration) and is represented by means of two components: a structural description and a dependency tree. The main conclusion is that these two components constitute a historical micro-grammar that identifies stability and change with respect to specific categories and constructions.

Abstract

This chapter proposes a model of syntactic annotation for the Parallel Corpus of Old English Prose, an aligned corpus of Old English and Present Day English texts. The research focuses on areas of syntactic divergence between the aligned texts. Syntactic divergence is described in terms of four types of alignment asymmetry (markedness, constituency, order, and configuration) and is represented by means of two components: a structural description and a dependency tree. The main conclusion is that these two components constitute a historical micro-grammar that identifies stability and change with respect to specific categories and constructions.

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.158.03mar

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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