Corpus PaGeS
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Irene Doval
Abstract
This chapter presents the bilingual parallel corpus PaGeS, compiled by the research group SpatiAlEs from the University of Santiago de Compostela. PaGeS currently amounts to nearly 20 million tokens and consists of texts originally written in German and in Spanish and their correspondent translations into the other language, as well as a small portion of German and Spanish translations from third languages. The present contribution introduces the main characteristics of the PaGeS corpus, focusing on its design and compilation. It first explains the criteria for the selection of the texts and the details of text pre-processing, automatic alignment and manual review. It then addresses the search and display features describing the server architecture and indexing process. Finally, the intended development of the PaGeS corpus is briefly discussed.
Abstract
This chapter presents the bilingual parallel corpus PaGeS, compiled by the research group SpatiAlEs from the University of Santiago de Compostela. PaGeS currently amounts to nearly 20 million tokens and consists of texts originally written in German and in Spanish and their correspondent translations into the other language, as well as a small portion of German and Spanish translations from third languages. The present contribution introduces the main characteristics of the PaGeS corpus, focusing on its design and compilation. It first explains the criteria for the selection of the texts and the details of text pre-processing, automatic alignment and manual review. It then addresses the search and display features describing the server architecture and indexing process. Finally, the intended development of the PaGeS corpus is briefly discussed.
Chapters in this book
- Prelim pages i
- Table of contents v
- Acknowledgments ix
- Parallel corpora in focus 1
-
Part I. Parallel corpora
- Comparable parallel corpora 19
- Living with parallel corpora 39
- Working with parallel corpora 57
- Innovations in parallel corpus alignment and retrieval 79
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Part II. Parallel corpora
- InterCorp 93
- Corpus PaGeS 103
- Building EPTIC 123
- Enriching parallel corpora with multimedia and lexical semantics 141
- Discourse annotation in the MULTINOT corpus 159
- PEST 183
- Indexation and analysis of a parallel corpus using CQPweb 197
- P-ACTRES 2.0 215
- An overview of Basque corpora and the extraction of certain multi-word expressions from a translational corpus 233
-
Part III. Parallel corpora
- Strategies for building high quality bilingual lexicons from comparable corpora 251
- Discovering bilingual collocations in parallel corpora 267
- Normalization of shorthand forms in French text messages using word embedding and machine translation 281
- Index 299
Chapters in this book
- Prelim pages i
- Table of contents v
- Acknowledgments ix
- Parallel corpora in focus 1
-
Part I. Parallel corpora
- Comparable parallel corpora 19
- Living with parallel corpora 39
- Working with parallel corpora 57
- Innovations in parallel corpus alignment and retrieval 79
-
Part II. Parallel corpora
- InterCorp 93
- Corpus PaGeS 103
- Building EPTIC 123
- Enriching parallel corpora with multimedia and lexical semantics 141
- Discourse annotation in the MULTINOT corpus 159
- PEST 183
- Indexation and analysis of a parallel corpus using CQPweb 197
- P-ACTRES 2.0 215
- An overview of Basque corpora and the extraction of certain multi-word expressions from a translational corpus 233
-
Part III. Parallel corpora
- Strategies for building high quality bilingual lexicons from comparable corpora 251
- Discovering bilingual collocations in parallel corpora 267
- Normalization of shorthand forms in French text messages using word embedding and machine translation 281
- Index 299
