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Experiments in domain adaptation for statistical machine translation

Open access
Koehn, Philipp, Schroeder, Josh·2007·Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07

Abstract

The special challenge of the WMT 2007 shared task was domain adaptation. We took this opportunity to experiment with various ways of adapting a statistical machine translation systems to a special domain (here: news commentary), when most of the training data is from a different domain (here: European Parliament speeches). This paper also gives a description of the submission of the University of Edinburgh to the shared task.

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Metadata

Authors
Koehn, P., & Schroeder, J.
Venue
Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07
Published
2007
Pages
224-227
OpenAlex
W2137387514
Cited by
320
References
10
FWCI
12.58
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Experiments in domain adaptation for statistical machine translation. https://app.cochat.ai/papers/10.3115/1626355.1626388
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Koehn, P., & Schroeder, J. (2007). Experiments in domain adaptation for statistical machine translation. Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07. https://doi.org/10.3115/1626355.1626388

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.