Work

Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation

Year: 2011

Type: conference-paper

Abstract: This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling. We present a strategy for crawling monolingual and parallel data and their exploitation for testing, language modelling, and system tuning in a phrase--based machine translation framework. The proposed approach is evaluated on the domains of Natural Environment and Labour Legislation and two language pairs: English–French and English–Greek.

Source: Arrow@dit (Dublin Institute of Technology)

Authors: Pavel Pecina, Antonio Toral, Andy Way, Vassilis Papavassiliou, Prokopis Prokopidis, Μαρία Γιάγκου

Institution: Dublin City University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies

OpenAlex ID: W2102127584

FWCI: 3.441

Cites: 22

Cited by: 27

Related to: 10