eprintid: 3413
rev_number: 10
eprint_status: archive
userid: 405
dir: disk0/00/00/34/13
datestamp: 2019-01-09 13:56:08
lastmod: 2019-01-09 13:56:08
status_changed: 2019-01-09 13:56:08
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Minh Thuan
creators_name: Bui, Van Tan
creators_name: Vu, Huy Hien
creators_name: Nguyen, Phuong Thai
creators_name: Luong, Chi Mai
creators_id: thuannm@vnu.edu.vn
creators_id: bvtan@uneti.edu.vn
creators_id: hienvuhuy@gmail.com
creators_id: thainp@vnu.edu.vn
creators_id: lcmai@ioit.ac.vn
corp_creators: Department of Computer Science, University of Engineering and Technology, VNU Hanoi
corp_creators: Department of Information Technology, University of Economic and Technical Industries
corp_creators: Department of Computer Science, University of Engineering and Technology, VNU Hanoi
corp_creators: Department of Computer Science, University of Engineering and Technology, VNU Hanoi
corp_creators: Department of Language and Speech Processing, Institute of Information Technology
title: Enhancing the quality of Phrase-table in Statistical Machine Translation for Less-Common and Low-Resource Languages
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: The phrase-table plays an important role in traditional phrase-based statistical machine translation (SMT) system. During translation, a phrase-based SMT system relies heavily on phrase-table to generate outputs. In this paper, we propose two methods for enhancing the quality of phrase-table. The first method is to recompute phrasetable weights by using vector representations similarity. The remaining method is to enrich the phrase-table by
integrating new phrase-pairs from an extended dictionary
and projections of word vector presentations on the target language space. Our methods produce an attainment of up to
0.21 and 0.44 BLEU scores on in-domain and cross-domain
(Asian Language Treebank - ALT) English - Vietnamese
datasets respectively.
date: 2018
date_type: published
full_text_status: public
pres_type: paper
event_title: International Association of Logopedics and Phoniatrics
event_type: conference
refereed: FALSE
citation:   Nguyen, Minh Thuan and Bui, Van Tan and Vu, Huy Hien and Nguyen, Phuong Thai and Luong, Chi Mai  (2018) Enhancing the quality of Phrase-table in Statistical Machine Translation for Less-Common and Low-Resource Languages.  In: International Association of Logopedics and Phoniatrics.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3413/1/30.pdf