eprintid: 1549
rev_number: 8
eprint_status: archive
userid: 243
dir: disk0/00/00/15/49
datestamp: 2016-05-23 03:01:17
lastmod: 2016-05-23 03:01:55
status_changed: 2016-05-23 03:01:17
type: conference_item
metadata_visibility: show
creators_name: Tran, Hong Viet
creators_name: Nguyen, Van Vinh
creators_name: Nguyen, Le Minh
title: Improving English-Vietnamese Statistical Machine Translation Using Preprocessing Dependency Syntactic
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: 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
date_type: published
full_text_status: public
pres_type: poster
event_title: SW4PHD: the 2016 Scientific Workshop for PhD Students
event_location: Hanoi
event_dates: 26 March 2016
event_type: workshop
refereed: TRUE
citation:   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.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1549/1/PosterNCS2016_TranHongViet.pdf