Syntax-aware Phrase-based Statistical Machine Translation: System Description

Pre-ordering of phrase-based machine translation input in translation workflow

Word reordering is a difficult task for decoders when the languages involved have a significant difference in syntax. Phrase-based statistical machine translation (PBSMT), preferred in commercial settings due to its matu…

Using Wordnet to Improve Reordering in Hierarchical Phrase-Based Statistical Machine Translation

We propose the use of WordNet synsets in a syntax-based reordering model for hierarchical statistical machine translation (HPB-SMT) to enable the model to generalize to phrases not seen in the training data but that have…

Reordering rules for English-Hindi SMT

Reordering is a preprocessing stage for Statistical Machine Translation (SMT) system where the words of the source sentence are reordered as per the syntax of the target language. We are proposing a rich set of rules for…

Predicting Target Language CCG Supertags Improves Neural Machine Translation

Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly mo…

NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation