Christian Buck


2017

pdf bib
Proceedings of the Second Conference on Machine Translation
Ondřej Bojar | Christian Buck | Rajen Chatterjee | Christian Federmann | Yvette Graham | Barry Haddow | Matthias Huck | Antonio Jimeno Yepes | Philipp Koehn | Julia Kreutzer
Proceedings of the Second Conference on Machine Translation

2016

pdf bib
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
Ondřej Bojar | Christian Buck | Rajen Chatterjee | Christian Federmann | Liane Guillou | Barry Haddow | Matthias Huck | Antonio Jimeno Yepes | Aurélie Névéol | Mariana Neves | Pavel Pecina | Martin Popel | Philipp Koehn | Christof Monz | Matteo Negri | Matt Post | Lucia Specia | Karin Verspoor | Jörg Tiedemann | Marco Turchi
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers

bib
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers
Ondřej Bojar | Christian Buck | Rajen Chatterjee | Christian Federmann | Liane Guillou | Barry Haddow | Matthias Huck | Antonio Jimeno Yepes | Aurélie Névéol | Mariana Neves | Pavel Pecina | Martin Popel | Philipp Koehn | Christof Monz | Matteo Negri | Matt Post | Lucia Specia | Karin Verspoor | Jörg Tiedemann | Marco Turchi
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

pdf bib
Findings of the WMT 2016 Bilingual Document Alignment Shared Task
Christian Buck | Philipp Koehn
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

pdf bib
Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance
Christian Buck | Philipp Koehn
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

2014

pdf bib
CASMACAT: A Computer-assisted Translation Workbench
Vicent Alabau | Christian Buck | Michael Carl | Francisco Casacuberta | Mercedes García-Martínez | Ulrich Germann | Jesús González-Rubio | Robin Hill | Philipp Koehn | Luis Leiva | Bartolomé Mesa-Lao | Daniel Ortiz-Martínez | Herve Saint-Amand | Germán Sanchis Trilles | Chara Tsoukala
Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics

pdf bib
Proceedings of the Ninth Workshop on Statistical Machine Translation
Ondřej Bojar | Christian Buck | Christian Federmann | Barry Haddow | Philipp Koehn | Christof Monz | Matt Post | Lucia Specia
Proceedings of the Ninth Workshop on Statistical Machine Translation

pdf bib
Findings of the 2014 Workshop on Statistical Machine Translation
Ondřej Bojar | Christian Buck | Christian Federmann | Barry Haddow | Philipp Koehn | Johannes Leveling | Christof Monz | Pavel Pecina | Matt Post | Herve Saint-Amand | Radu Soricut | Lucia Specia | Aleš Tamchyna
Proceedings of the Ninth Workshop on Statistical Machine Translation

pdf bib
FBK-UPV-UEdin participation in the WMT14 Quality Estimation shared-task
José Guilherme Camargo de Souza | Jesús González-Rubio | Christian Buck | Marco Turchi | Matteo Negri
Proceedings of the Ninth Workshop on Statistical Machine Translation

pdf bib
The MateCat Tool
Marcello Federico | Nicola Bertoldi | Mauro Cettolo | Matteo Negri | Marco Turchi | Marco Trombetti | Alessandro Cattelan | Antonio Farina | Domenico Lupinetti | Andrea Martines | Alberto Massidda | Holger Schwenk | Loïc Barrault | Frederic Blain | Philipp Koehn | Christian Buck | Ulrich Germann
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations

pdf bib
N-gram Counts and Language Models from the Common Crawl
Christian Buck | Kenneth Heafield | Bas van Ooyen
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We contribute 5-gram counts and language models trained on the Common Crawl corpus, a collection over 9 billion web pages. This release improves upon the Google n-gram counts in two key ways: the inclusion of low-count entries and deduplication to reduce boilerplate. By preserving singletons, we were able to use Kneser-Ney smoothing to build large language models. This paper describes how the corpus was processed with emphasis on the problems that arise in working with data at this scale. Our unpruned Kneser-Ney English $5$-gram language model, built on 975 billion deduplicated tokens, contains over 500 billion unique n-grams. We show gains of 0.5-1.4 BLEU by using large language models to translate into various languages.

2013

pdf bib
Proceedings of the Eighth Workshop on Statistical Machine Translation
Ondrej Bojar | Christian Buck | Chris Callison-Burch | Barry Haddow | Philipp Koehn | Christof Monz | Matt Post | Herve Saint-Amand | Radu Soricut | Lucia Specia
Proceedings of the Eighth Workshop on Statistical Machine Translation

pdf bib
Findings of the 2013 Workshop on Statistical Machine Translation
Ondřej Bojar | Christian Buck | Chris Callison-Burch | Christian Federmann | Barry Haddow | Philipp Koehn | Christof Monz | Matt Post | Radu Soricut | Lucia Specia
Proceedings of the Eighth Workshop on Statistical Machine Translation

pdf bib
The Feasibility of HMEANT as a Human MT Evaluation Metric
Alexandra Birch | Barry Haddow | Ulrich Germann | Maria Nadejde | Christian Buck | Philipp Koehn
Proceedings of the Eighth Workshop on Statistical Machine Translation

pdf bib
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task
José Guilherme Camargo de Souza | Christian Buck | Marco Turchi | Matteo Negri
Proceedings of the Eighth Workshop on Statistical Machine Translation

2012

pdf bib
Black Box Features for the WMT 2012 Quality Estimation Shared Task
Christian Buck
Proceedings of the Seventh Workshop on Statistical Machine Translation

pdf bib
Evaluating the Learning Curve of Domain Adaptive Statistical Machine Translation Systems
Nicola Bertoldi | Mauro Cettolo | Marcello Federico | Christian Buck
Proceedings of the Seventh Workshop on Statistical Machine Translation