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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Vydané v:	Expert systems with applications Ročník 84; s. 186 - 199
Hlavní autori:	Kazemi, Arefeh, Toral, Antonio, Way, Andy, Monadjemi, Amirhassan, Nematbakhsh, Mohammadali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 30.10.2017 Elsevier BV
Predmet:	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
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