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Linguistically Motivated Statistical Machine Translation

Models and Algorithms

Gebonden Engels 2015 2015e druk 9789812873552
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Samenvatting

This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.

Specificaties

ISBN13:9789812873552
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:171
Uitgever:Springer Nature Singapore
Druk:2015

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Inhoudsopgave

<p>1 Introduction </p><p>2 BTG-Based SMT </p><p>3 Syntactically Annotated Reordering </p><p>4 Semantically Informed Reordering </p><p>5 Lexicalized Bracketing </p><p>6 Linguistically Motivated Bracketing </p><p>7 Translation Rule Selection with Document-Level Semantic Information </p><p>8 Translation Error Detection with Linguistic Features </p><p>9 Closing Remarks </p><p>Index</p><p>References</p>

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        Linguistically Motivated Statistical Machine Translation