A Document-Level SMT System with Integrated Pronoun Prediction

Christian Hardmeier

doi:10.18653/v1/W15-2510

A Document-Level SMT System with Integrated Pronoun Prediction

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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.

Originalsprog	Engelsk
Titel	Proceedings of the Second Workshop on Discourse in Machine Translation
Publikationsdato	21 sep. 2015
ISBN (Trykt)	978-1-941643-32-7
DOI	https://doi.org/10.18653/v1/W15-2510
Status	Udgivet - 21 sep. 2015
Udgivet eksternt	Ja

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10.18653/v1/W15-2510

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AB - 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.

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A Document-Level SMT System with Integrated Pronoun Prediction

Abstract

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