Part-of-Speech Driven Cross-Lingual Pronoun Prediction with Feed-Forward Neural Networks

Jimmy Callin, Christian Hardmeier, Jörg Tiedemann

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

Abstract

For some language pairs, pronoun translation is a discourse-driven task which requires information that lies beyond its local context. This motivates the task of predicting the correct pronoun given a source sentence and a target translation, where the translated pronouns have been replaced with placeholders. For cross-lingual pronoun prediction, we suggest a neural network-based model using preceding nouns and determiners as features for suggesting antecedent candidates. Our model scores on par with similar models while having a simpler architecture.
Original languageEnglish
Title of host publicationProceedings of the Second Workshop on Discourse in Machine Translation
Place of PublicationLisbon, Portugal
PublisherAssociation for Computational Linguistics
Pages59-64
Number of pages6
ISBN (Electronic)978-1-941643-32-7
DOIs
Publication statusPublished - 21 Sep 2015
EventSecond Workshop on Discourse in Machine Translation - Lisbon, Portugal
Duration: 17 Sep 201517 Sep 2015
http://www.emnlp2015.org/proceedings/DiscoMT/index.html

Workshop

WorkshopSecond Workshop on Discourse in Machine Translation
Abbreviated titleDiscoMT 2015
CountryPortugal
CityLisbon
Period17/09/1517/09/15
Internet address

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