You are here

Enhancing Statistical Machine Translation with Bilingual Terminology in a CAT Environment


Mihael Arcan, Marco Turchi, Sara Tonelli, Paul Buitelaar

Publication Type: 
Refereed Conference Meeting Proceeding
In this paper, we address the problem of extracting and integrating bilingual terminology into a Statistical Machine Translation (SMT) system for a Computer Aided Translation (CAT) tool scenario. We develop a framework that, taking as input a small amount of parallel in-domain data, gathers domain-specific bilingual terms and injects them in an SMT system to enhance the translation productivity. Therefore, we investigate several strategies to extract and align bilingual terminology, and to embed it into the SMT. We compare two embedding methods that can be easily used at run-time without altering the normal activity of an SMT system: XML markup and the cache-based model. We tested our framework on two different domains showing improvements up to 15% BLEU score points.
Conference Name: 
11th Biennial Conference of the Association for Machine Translation in the Americas
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
Research Group: 
National University of Ireland, Galway (NUIG)
Project Acknowledges: 
Open access repository: 
Publication document: