Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Statistically motivated example-based machine translation using translation memory

Dandapat, Sandipan, Morrissey, Sara, Kumar Naskar, Sudip and Somers, Harold (2010) Statistically motivated example-based machine translation using translation memory. In: the 8th International Conference on Natural Language Processing ICON 2010, 8 - 11 Dec. 2010, Kharagpur, India.

In this paper we present a novel way of integrating Translation Memory into an Example-based Machine translation System (EBMT) to deal with the issue of low resources. We have used a dialogue of 380 sentences as the example-base for our system. The translation units in the Translation Memories are automatically extracted based on the aligned phrases (words) of a statistical machine translation (SMT) system. We attempt to use the approach to improve translation from English to Bangla as many statistical machine translation systems have difficulty with such small amounts of training data. We have found the approach shows improvement over a baseline SMT system.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Example-based Machine Translation; EBMT; statistical machine translation; SMT
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
Research Institutes 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
ID Code:16041
Deposited On:01 Jun 2011 14:48 by Shane Harper . Last Modified 19 Jul 2018 14:52

Full text available as:

[thumbnail of Statistically_Motivated_Example-based_Machine_Translation_using_translation_memory.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record