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Statistically motivated example-based machine translation using translation memory

Dandapat , Sandipan and Morrissey, Sara and 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.

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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 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
ID Code:16041
Deposited On:01 Jun 2011 15:48 by Shane Harper. Last Modified 01 Jun 2011 15:48

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