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    <abstract>Example-Based Machine Translation (EBMT) systems have typically operated on individual sentences without taking into account prior context. By adding a simple reweighting of retrieved fragments of training examples on the basis of whether the previous translation retrieved any fragments from examples within a small window of the current instance, translation performance is improved. A further improvement is seen by performing a similar reweighting when another fragment of the current input sentence was retrieved from the same training example. Together, a simple, straightforward implementation of these two factors results in an improvement on the order of 1.0–1.6% in the BLEU metric across multiple data sets in multiple languages.</abstract>
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%0 Conference Proceedings
%T Context-sensitive Retrieval for Example-based Translation
%A Brown, Ralf
%S Workshop on example-based machine translation
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F brown-2005-context
%X Example-Based Machine Translation (EBMT) systems have typically operated on individual sentences without taking into account prior context. By adding a simple reweighting of retrieved fragments of training examples on the basis of whether the previous translation retrieved any fragments from examples within a small window of the current instance, translation performance is improved. A further improvement is seen by performing a similar reweighting when another fragment of the current input sentence was retrieved from the same training example. Together, a simple, straightforward implementation of these two factors results in an improvement on the order of 1.0–1.6% in the BLEU metric across multiple data sets in multiple languages.
%U https://aclanthology.org/2005.mtsummit-ebmt.2/
%P 9-15

Markdown (Informal)

[Context-sensitive Retrieval for Example-based Translation](https://aclanthology.org/2005.mtsummit-ebmt.2/) (Brown, MTSummit 2005)

• Context-sensitive Retrieval for Example-based Translation (Brown, MTSummit 2005)

ACL

• Ralf Brown. 2005. Context-sensitive Retrieval for Example-based Translation. In Workshop on example-based machine translation, pages 9–15, Phuket, Thailand.