eprintid: 114
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/01/14
datestamp: 2013-01-08 07:43:51
lastmod: 2015-05-22 08:07:06
status_changed: 2013-01-08 07:43:51
type: conference_item
metadata_visibility: show
creators_name: Hoang, Cuong
creators_name: Le, Anh Cuong
creators_name: Nguyen, Phuong Thai
creators_name: Ho, Tu Bao
creators_id: cuongla@vnu.edu.vn
creators_id: thainp@vnu.edu.vn
corp_creators: VNU-UET
title: Exploiting Non-Parallel Corpora for Statistical Machine Translation
ispublished: pub
subjects: IT
subjects: IT_CS
subjects: IT_GS
divisions: fac_fit
keywords: Electronic publishing;Encyclopedias;Error analysis;Internet;Length measurement;Training;language translation;learning (artificial intelligence);nonparallel corpora;parallel sentence pair detection;reinforcement learning scheme;statistical machine translation system;
abstract: Constructing a corpus of parallel sentence pairs is an important work in building a Statistical Machine Translation system. It impacts deeply how the quality of a Statistical Machine Translation could achieve. The more parallel sentence pairs we use to train the system, the better translation's quality it is. Nowadays, comparable non-parallel corpora become important resources to alleviate scarcity of parallel corpora. The problem here is how to extract parallel sentence pairs automatically but accurately from comparable non-parallel corpora, which are usually very "noisy". This paper presents how we can apply the reinforcement-learning scheme with our new proposed algorithm for detecting parallel sentence pairs. We specify that from an initial set of parallel sentences in a domain, the proposed model can extract a large number of new parallel sentence pairs from non-parallel corpora resources in different domains, concurrently increasing the system's translation ability gradually.
date: 2012-03-01
date_type: published
official_url: http://dx.doi.org/10.1109/rivf.2012.6169833
full_text_status: none
pres_type: paper
pagerange: 1-6
event_title: 2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)
event_location: Ho Chi Minh city
event_dates: February 27 - March 1, 2012
event_type: conference
refereed: TRUE
citation:   Hoang, Cuong and Le, Anh Cuong and Nguyen, Phuong Thai and Ho, Tu Bao  (2012) Exploiting Non-Parallel Corpora for Statistical Machine Translation.  In: 2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), February 27 - March 1, 2012, Ho Chi Minh city.