Anaphora Models and Reordering for Phrase-Based SMT

Abstract

We describe the Uppsala University systems for WMT14. We look at the integration of a model for translating pronominal anaphora and a syntactic dependency projection model for English-French. Furthermore, we investigate post-ordering and tunable POS distortion models for EnglishGerman.

Findings of the 2014 Workshop on Statistical Machine Translation

“…Dublin City University / Lingo24 (wu et al, 2014) EU-BRIDGE EU-BRIDGE Project (Freitag et al, 2014) KIT Karlsruhe Institute of Technology (Herrmann et al, 2014) IIT-BOMBAY IIT Bombay (Dungarwal et al, 2014) IIIT-HYDERABAD (Rubino et al, 2014) PROMT-RULE, PROMT-HYBRID PROMT RWTH RWTH Aachen (Peitz et al, 2014) STANFORD Stanford University (Neidert et al, 2014;Green et al, 2014) UA-* University of Alicante (Sánchez-Cartagena et al, 2014) UEDIN-PHRASE, UEDIN-UNCNSTR University of Edinburgh (Durrani et al, 2014b) UEDIN-SYNTAX University of Edinburgh (Williams et al, 2014) UU, UU-DOCENT Uppsala University (Hardmeier et al, 2014) YANDEX Yandex School of Data Analysis (Borisov and Galinskaya, 2014…”

Rule-Based Pronominal Anaphora Treatment for Machine Translation

“…The latest solution has taken the form of a pronoun predictor, an algorithm able to predict a pronoun in the target language using source language information and easily embeddable with a SMT system. Such a predictor, however, is hard to train and results are yet unsatisfactory (Popescu-Belis et al, 2012;Hardmeier et al, 2013;Hardmeier et al, 2014). An automatic post-processing approach has also been reported by Weiner (2014).…”

“…Such a predictor, however, is hard to train and results are yet unsatisfactory (Popescu-Belis et al, 2012;Hardmeier et al, 2013;Hardmeier et al, 2014). An automatic post-processing approach has also been reported by Weiner (2014).…”

Findings of the 2015 Workshop on Statistical Machine Translation

“…University of Stuttgart / University of Munich (Quernheim and Cap, 2014) (Do et al, 2014) MANAWI-* Universität des Saarlandes (Tan and Pal, 2014) MATRAN Abu-MaTran Project: Prompsit / DCU / UA (Rubino et al, 2014) PROMT-RULE, PROMT-HYBRID PROMT RWTH RWTH Aachen STANFORD Stanford University (Neidert et al, 2014;Green et al, 2014) UA-* University of Alicante UEDIN-PHRASE, UEDIN-UNCNSTR University of Edinburgh (Durrani et al, 2014b) UEDIN-SYNTAX University of Edinburgh UU, UU-DOCENT Uppsala University (Hardmeier et al, 2014) Y-SDA Yandex School of Data Analysis (Borisov and Galinskaya, 2014) COMMERCIAL- [1,2] Two commercial machine translation systems ONLINE-[A,B,C,G] Four online statistical machine translation systems 4] Two rule-based statistical machine translation systems Table 2: Participants in the shared translation task. Not all teams participated in all language pairs.…”