Title: Relevance Ranking for Translated Texts
Authors: TURCHI MARCOSPECIA LuciaSTEINBERGER JOSEF
Publisher: European Association for Machine Translation
Publication Year: 2012
JRC N°: JRC73479
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC73479
Type: Articles in periodicals and books
Abstract: The usefulness of a translated text for gisting purposes strongly depends on the overall translation quality of the text, but especially on the translation quality of the most informative portions of the text. In this paper we address the problems of ranking translated sentences within a document and ranking translated documents within a set of documents on the same topic according to their informativeness and translation quality. An approach combining quality estimation and sentence ranking methods is used. Experiments with French-English translation using four sets of news commentary documents show promising results for both sentence and document ranking. %, outperforming different baseline methods. We believe that this approach can be useful in several practical scenarios where translation is aimed at gisting, such as multilingual media monitoring and news analysis applications.
JRC Directorate:Space, Security and Migration

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