Refinements to Interactive Translation Prediction Based on Search Graphs

Philipp Koehn, Chara Tsoukala, Herve Saint-Amand

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a number of refinements to the canonical approach to interactive translation prediction. By more permissive matching criteria, placing emphasis on matching the last word of the user prefix, and dealing with predictions to partially typed words, we observe gains in both word prediction accuracy (+5.4%) and letter prediction accuracy (+9.3%).
Original languageEnglish
Title of host publicationProceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, June 22-27, 2014, Baltimore, MD, USA, Volume 2: Short Papers
PublisherAssociation for Computational Linguistics
Pages574-578
Number of pages5
Publication statusPublished - Jun 2014

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