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PEST

A parallel electronic corpus of state treaties
  • Mikhail Mikhailov , Miia Santalahti and Julia Souma
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Parallel Corpora for Contrastive and Translation Studies
This chapter is in the book Parallel Corpora for Contrastive and Translation Studies

Abstract

This chapter introduces the Parallel Electronic corpus of State Treaties (PEST). The current plan is to compile a parallel corpus, which will include treaties concluded between Russia and Finland, Finland and Sweden, and Sweden and Russia. In addition, there will be a subcorpus of international conventions in all three languages plus English, to be used as reference data. The chapter describes the structure of the subcorpora (number of documents, their chronological distribution and topics featured), and it also addresses the challenges of balancing such a corpus. In the future, this material can be used for studies ranging from lexicon and semantics to grammar, style, discourse, translation studies, and language for special purposes.

Abstract

This chapter introduces the Parallel Electronic corpus of State Treaties (PEST). The current plan is to compile a parallel corpus, which will include treaties concluded between Russia and Finland, Finland and Sweden, and Sweden and Russia. In addition, there will be a subcorpus of international conventions in all three languages plus English, to be used as reference data. The chapter describes the structure of the subcorpora (number of documents, their chronological distribution and topics featured), and it also addresses the challenges of balancing such a corpus. In the future, this material can be used for studies ranging from lexicon and semantics to grammar, style, discourse, translation studies, and language for special purposes.

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Acknowledgments ix
  4. Parallel corpora in focus 1
  5. Part I. Parallel corpora
  6. Comparable parallel corpora 19
  7. Living with parallel corpora 39
  8. Working with parallel corpora 57
  9. Innovations in parallel corpus alignment and retrieval 79
  10. Part II. Parallel corpora
  11. InterCorp 93
  12. Corpus PaGeS 103
  13. Building EPTIC 123
  14. Enriching parallel corpora with multimedia and lexical semantics 141
  15. Discourse annotation in the MULTINOT corpus 159
  16. PEST 183
  17. Indexation and analysis of a parallel corpus using CQPweb 197
  18. P-ACTRES 2.0 215
  19. An overview of Basque corpora and the extraction of certain multi-word expressions from a translational corpus 233
  20. Part III. Parallel corpora
  21. Strategies for building high quality bilingual lexicons from comparable corpora 251
  22. Discovering bilingual collocations in parallel corpora 267
  23. Normalization of shorthand forms in French text messages using word embedding and machine translation 281
  24. Index 299
https://doi.org/10.1075/scl.90.11mik

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Acknowledgments ix
  4. Parallel corpora in focus 1
  5. Part I. Parallel corpora
  6. Comparable parallel corpora 19
  7. Living with parallel corpora 39
  8. Working with parallel corpora 57
  9. Innovations in parallel corpus alignment and retrieval 79
  10. Part II. Parallel corpora
  11. InterCorp 93
  12. Corpus PaGeS 103
  13. Building EPTIC 123
  14. Enriching parallel corpora with multimedia and lexical semantics 141
  15. Discourse annotation in the MULTINOT corpus 159
  16. PEST 183
  17. Indexation and analysis of a parallel corpus using CQPweb 197
  18. P-ACTRES 2.0 215
  19. An overview of Basque corpora and the extraction of certain multi-word expressions from a translational corpus 233
  20. Part III. Parallel corpora
  21. Strategies for building high quality bilingual lexicons from comparable corpora 251
  22. Discovering bilingual collocations in parallel corpora 267
  23. Normalization of shorthand forms in French text messages using word embedding and machine translation 281
  24. Index 299
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