Date of Original Version

10-2012

Type

Conference Proceeding

Journal Title

Proceedings of the Tenth Conference of the Association for Machine Translation in the Americas

Rights Management

©2012 AMTA, The Association for Machine Translation in the Americas

Abstract or Description

In this paper, we introduce a simple technique for incorporating domain information into a statistical machine translation system that significantly improves translation quality when test data comes from multiple domains. Our approach augments (conjoins) standard translation model and language model features with domain indicator features and requires only minimal modifications to the optimization and decoding procedures. We evaluate our method on two language pairs with varying numbers of domains, and observe significant improvements of up to 1.0 BLEU

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Published In

Proceedings of the Tenth Conference of the Association for Machine Translation in the Americas.