A Document-Level SMT System with Integrated Pronoun Prediction
2015 (English)In: Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT), Stroudsburg, PA: Association for Computational Linguistics, 2015, 72-77 p.Conference paper (Refereed)
This paper describes one of Uppsala University’s submissions to the pronoun-focused machine translation (MT) shared task at DiscoMT 2015. The system is based on phrase-based statistical MT implemented with the document-level decoder Docent. It includes a neural network for pronoun prediction trained with latent anaphora resolution. At translation time, coreference information is obtained from the Stanford CoreNLP system.
Place, publisher, year, edition, pages
Stroudsburg, PA: Association for Computational Linguistics, 2015. 72-77 p.
Language Technology (Computational Linguistics)
Research subject Computational Linguistics
IdentifiersURN: urn:nbn:se:uu:diva-262366ISBN: 978-1-941643-32-7OAI: oai:DiVA.org:uu-262366DiVA: diva2:853690
Second Workshop on Discourse in Machine Translation (DiscoMT), 17 September 2015, Lisbon, Portugal