Syntax- and semantic-based reordering in hierarchical phrase-based statistical machine translation

•A syntax-based reordering model (RM) for SMT system is proposed.•Our RM predicts the orientation between syntactic dependants of the source sentence.•We enrich the proposed RM with semantic features, so it can perform semantic generalization.•Our RM outperforms the baseline and two competing RMs in...

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Veröffentlicht in:	Expert systems with applications Jg. 84; S. 186 - 199
Hauptverfasser:	Kazemi, Arefeh, Toral, Antonio, Way, Andy, Monadjemi, Amirhassan, Nematbakhsh, Mohammadali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 30.10.2017 Elsevier BV
Schlagworte:	Classifiers Dependency structure HPB-SMT Machine translation Reordering Semantic Semantics Statistical machine translation Syntax HPB-SMT Statistical machine translation Syntax Dependency structure Semantic Reordering
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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