Part-of-Speech Driven Cross-Lingual Pronoun Prediction with Feed-Forward Neural Networks
2015 (English)In: Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT), Stroudsburg, PA: Association for Computational Linguistics, 2015, 59-64 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Stroudsburg, PA: Association for Computational Linguistics, 2015. 59-64 p.
Language Technology (Computational Linguistics)
Research subject Computational Linguistics
IdentifiersURN: urn:nbn:se:uu:diva-262365ISBN: 978-1-941643-32-7OAI: oai:DiVA.org:uu-262365DiVA: diva2:853685
Second Workshop on Discourse in Machine Translation (DiscoMT), 17 September 2015, Lisbon, Portugal