Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Evaluating syntax-driven approaches to phrase extraction for MT

Srivastava, Ankit and Penkale, Sergio and Groves, Declan and Tinsley, John (2009) Evaluating syntax-driven approaches to phrase extraction for MT. In: EBMT 2009 - 3rd Workshop on Example-Based Machine Translation, 12-13 November 2009, Dublin, Ireland.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
249Kb

Abstract

In this paper, we examine a number of different phrase segmentation approaches for Machine Translation and how they perform when used to supplement the translation model of a phrase-based SMT system. This work represents a summary of a number of years of research carried out at Dublin City University in which it has been found that improvements can be made using hybrid translation models. However, the level of improvement achieved is dependent on the amount of training data used. We describe the various approaches to phrase segmentation and combination explored, and outline a series of experiments investigating the relative merits of each method.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Research Initiatives and Centres > National Centre for Language Technology (NCLT)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1142
ID Code:15151
Deposited On:12 Feb 2010 15:48 by DORAS Administrator. Last Modified 27 Apr 2010 12:00

Download statistics

Archive Staff Only: edit this record