We present a simple and novel classifier-based preordering approach. Unlike existing
preordering models, we train feature-rich discriminative classifiers that directly predict the …

This unique book provides a comprehensive introduction to the most popular syntax-based
statistical machine translation models, filling a gap in the current literature for researchers …

When translating among languages that differ substantially in word order, machine
translation (MT) systems benefit from syntactic preordering—an approach that uses features …

While tree-to-string (T2S) translation theoretically holds promise for efficient, accurate
translation, in previous reports T2S systems have often proven inferior to other machine …

Semantic parsing, which aims at mapping a natural language (NL) sentence into its formal
meaning representation (eg, logical form), has received increasing attention in recent years …

This paper presents our Chinese-to-Japanese patent machine translation system for WAT
2016 (Group ID: ntt) that uses syntactic pre-ordering over Chinese dependency structures …

Parse trees are indispensable to the existing tree-based translation models. However, there
exist two major challenges in utilizing parse trees: 1) For most language pairs, it is hard to …

Syntax-based models can significantly improve the translation performance due to their
grammatical modeling on one or both language side (s). However, the translation rules such …

This paper proposes a nonparametric Bayesian method for inducing Part-of-Speech (POS)
tags in dependency trees to improve the performance of statistical machine translation …

Because of the scarcity of bilingual corpora, current Chinese--Vietnamese machine
translation is far from satisfactory. Considering the differences between Chinese and …