A Document-Level SMT System with Integrated Pronoun Prediction

Christian Hardmeier

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

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Second Workshop on Discourse in Machine Translation
Place of PublicationLisbon, Portugal
PublisherAssociation for Computational Linguistics
Pages72-77
Number of pages6
ISBN (Electronic)978-1-941643-32-7
DOIs
Publication statusPublished - 21 Sep 2015
EventConference on Empirical Methods in Natural Language Processing - Lisbon, Portugal
Duration: 17 Sep 201521 Sep 2015
http://www.emnlp2015.org/

Conference

ConferenceConference on Empirical Methods in Natural Language Processing
Abbreviated titleEMNLP 2015
CountryPortugal
CityLisbon
Period17/09/1521/09/15
Internet address

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