Jan-Thorsten Peter - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 31 from 31

2023

There's No Data like Better Data: Using QE Metrics for MT Data FilteringJan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag. wmt 2023: 561-577 [doi]

2020

An exploration of alignment concepts to bridge the gap between phrase-based and neural machine translationJan-Thorsten Peter. PhD thesis, RWTH Aachen University, Germany, 2020. [doi]

2018

Neural Speech Translation at AppTekEvgeny Matusov, Patrick Wilken, Parnia Bahar, Julian Schamper, Pavel Golik, Albert Zeyer, Joan Albert Silvestre-Cerdà, Adria A. Martinez-Villaronga, Hendrik Pesch, Jan-Thorsten Peter. iwslt 2018: 104-111 [doi]

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech RecognitionJan-Thorsten Peter, Eugen Beck, Hermann Ney. emnlp 2018: 84-89 [doi]

2017

Empirical Investigation of Optimization Algorithms in Neural Machine TranslationParnia Bahar, Tamer Alkhouli, Jan-Thorsten Peter, Christopher Brix, Hermann Ney. pbml, 108:13-26, 2017. [doi]

A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT EnginesAljoscha Burchardt, Vivien Macketanz, Jon Dehdari, Georg Heigold, Jan-Thorsten Peter, Philip Williams. pbml, 108:159-170, 2017. [doi]

The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017Jan-Thorsten Peter, Andreas Guta, Tamer Alkhouli, Parnia Bahar, Jan Rosendahl, Nick Rossenbach, Miguel Graça, Hermann Ney. wmt 2017: 358-365 [doi]

Generating Alignments Using Target Foresight in Attention-Based Neural Machine TranslationJan-Thorsten Peter, Arne Nix, Hermann Ney. pbml, 108:27-36, 2017. [doi]

The QT21 Combined Machine Translation System for English to LatvianJan-Thorsten Peter, Hermann Ney, Ondrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, Marcis Pinnis, Valters Sics, Joost Bastings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric Blain, Lucia Specia. wmt 2017: 348-357 [doi]

2016

Alignment-Based Neural Machine TranslationTamer Alkhouli, Gabriel Bretschner, Jan-Thorsten Peter, Mohammed Hethnawi, Andreas Guta, Hermann Ney. wmt 2016: 54-65 [doi]

Guided Alignment Training for Topic-Aware Neural Machine TranslationWenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter. amta 2016: 121-134 [doi]

Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine TranslationJan-Thorsten Peter, Weiyue Wang, Hermann Ney. acl 2016: [doi]

The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016Jan-Thorsten Peter, Tamer Alkhouli, Andreas Guta, Hermann Ney. wmt 2016: 356-361 [doi]

The RWTH Aachen Machine Translation System for IWSLT 2016Jan-Thorsten Peter, Andreas Guta, Nick Rossenbach, Miguel Graça, Hermann Ney. iwslt 2016: [doi]

CharacTer: Translation Edit Rate on Character LevelWeiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, Hermann Ney. wmt 2016: 505-510 [doi]

2015

2013

2012

2011

Soft string-to-dependency hierarchical machine translationJan-Thorsten Peter, Matthias Huck, Hermann Ney, Daniel Stein. iwslt 2011: 246-253 [doi]

2008

Data-Mining-Cup 2007Christian Buck, Tobias Gass, Andreas Hannig, Jan Hosang, Stephan Jonas, Jan-Thorsten Peter, Pascal Steingrube, Jan Henrik Ziegeldorf. insk, 31(6):591-599, 2008. [doi]

2007

Can We Translate Letters?David Vilar, Jan-Thorsten Peter, Hermann Ney. wmt 2007: 33-39 [doi]

Sign in or sign up to see more results.

runs on WebDSL