Ebook: Recent Advances in Example-Based Machine Translation
- Tags: Language Translation and Linguistics, Computational Linguistics, Artificial Intelligence (incl. Robotics), Translation
- Series: Text Speech and Language Technology 21
- Year: 2003
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.
Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.
Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.
Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Content:
Front Matter....Pages i-xxxi
Front Matter....Pages 1-1
An Overview of EBMT....Pages 3-57
What is Example-Based Machine Translation?....Pages 59-81
EBMT in a Controlled Environment....Pages 83-114
EBMT Seen as Case-Based Reasoning....Pages 115-153
Front Matter....Pages 155-155
Formalizing Translation Memory....Pages 157-188
An Example-Based Machine Translation System Using DP-Matching Between Word Sequences....Pages 189-209
A Hybrid Rule and Example-Based Method for Machine Translation....Pages 211-224
EBMT of POS-Tagged Sentences by Recursive Division Via Inductive Learning....Pages 225-252
Front Matter....Pages 253-253
Learning Translation Templates from Bilingual Translation Examples....Pages 255-286
Clustered Transfer Rule Induction for Example-Based Translation....Pages 287-305
Translation Patterns, Linguistic Knowledge and Complexity in an Approach to EBMT....Pages 307-338
Inducing Translation Grammars from Bracketed Alignments....Pages 339-361
Front Matter....Pages 363-363
Extracting Translation Knowledge from Parallel Corpora....Pages 365-395
Finding Translation Patterns from Paired Source and Target Dependency Structures....Pages 397-420
A Best-First Alignment Algorithm for Automatic Extraction of Transfer Mappings from Bilingua Corpora....Pages 421-442
Translating with Examples: The LFG-DOT Models of Translation....Pages 443-472
Back Matter....Pages 473-483
Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.
Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Content:
Front Matter....Pages i-xxxi
Front Matter....Pages 1-1
An Overview of EBMT....Pages 3-57
What is Example-Based Machine Translation?....Pages 59-81
EBMT in a Controlled Environment....Pages 83-114
EBMT Seen as Case-Based Reasoning....Pages 115-153
Front Matter....Pages 155-155
Formalizing Translation Memory....Pages 157-188
An Example-Based Machine Translation System Using DP-Matching Between Word Sequences....Pages 189-209
A Hybrid Rule and Example-Based Method for Machine Translation....Pages 211-224
EBMT of POS-Tagged Sentences by Recursive Division Via Inductive Learning....Pages 225-252
Front Matter....Pages 253-253
Learning Translation Templates from Bilingual Translation Examples....Pages 255-286
Clustered Transfer Rule Induction for Example-Based Translation....Pages 287-305
Translation Patterns, Linguistic Knowledge and Complexity in an Approach to EBMT....Pages 307-338
Inducing Translation Grammars from Bracketed Alignments....Pages 339-361
Front Matter....Pages 363-363
Extracting Translation Knowledge from Parallel Corpora....Pages 365-395
Finding Translation Patterns from Paired Source and Target Dependency Structures....Pages 397-420
A Best-First Alignment Algorithm for Automatic Extraction of Transfer Mappings from Bilingua Corpora....Pages 421-442
Translating with Examples: The LFG-DOT Models of Translation....Pages 443-472
Back Matter....Pages 473-483
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