Discovering bilingual collocations in parallel corpora
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Marcos Garcia
Abstract
This chapter presents a method that exploits parallel corpora to automatically extract bilingual collocation equivalents. First, we use dependency parsing and statistical measures to identify collocation candidates in corpora. Then, we leverage the parallel corpora to extract bilingual word-embeddings. Finally, we use these distributional models as probabilistic dictionaries in order to identify bilingual collocation equivalents. To evaluate our strategy we carry out a set of experiments in Portuguese and Spanish focusing on verb-object collocations, for example, “reach the maturity” (“atingir a maturidade” in Portuguese, “alcanzar la madurez” in Spanish). The results of our experiments show that this method is useful to automatically identify thousands of bilingual collocation equivalents, achieving a precision of 86%.
Abstract
This chapter presents a method that exploits parallel corpora to automatically extract bilingual collocation equivalents. First, we use dependency parsing and statistical measures to identify collocation candidates in corpora. Then, we leverage the parallel corpora to extract bilingual word-embeddings. Finally, we use these distributional models as probabilistic dictionaries in order to identify bilingual collocation equivalents. To evaluate our strategy we carry out a set of experiments in Portuguese and Spanish focusing on verb-object collocations, for example, “reach the maturity” (“atingir a maturidade” in Portuguese, “alcanzar la madurez” in Spanish). The results of our experiments show that this method is useful to automatically identify thousands of bilingual collocation equivalents, achieving a precision of 86%.
Chapters in this book
- Prelim pages i
- Table of contents v
- Acknowledgments ix
- Parallel corpora in focus 1
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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
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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
