relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1549/
title: Improving English-Vietnamese Statistical Machine Translation Using Preprocessing Dependency Syntactic
creator: Tran, Hong Viet
creator: Nguyen, Van Vinh
creator: Nguyen, Le Minh
subject: Information Technology (IT)
description: In this paper, we would like to present a new reordering approach based on a dependency parser in phrase based statistical machine translation (SMT) for English to Vietnamese. The proposed method can efficiently incorporate linguistic knowledge into SMT systems. We inspired from [1] using preprocessing reordering approaches. Dependency parser and transformation rules are used to reorder the source sentence and applied for systems translating English to Vietnamese. The experiment results showed that the proposed approach achieved improvements in BLEU scores over MOSES which is the state-of-the art phrase based SMT system.
date: 2016-03-26
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1549/1/PosterNCS2016_TranHongViet.pdf
identifier:   Tran, Hong Viet and Nguyen, Van Vinh and Nguyen, Le Minh  (2016) Improving English-Vietnamese Statistical Machine Translation Using Preprocessing Dependency Syntactic.  In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.