Chris Callison-Burch

Publications
Influence

Moses: Open Source Toolkit for Statistical Machine Translation

Philipp Koehn, Hieu T. Hoang, +11 authors E. Herbst
Computer Science
ACL
1 June 2007

We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and efficient data formats for translation models and language models. Expand

5,437
775
PDF

PPDB: The Paraphrase Database

Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch
Computer Science
HLT-NAACL
1 June 2013

We present the 1.0 release of our paraphrase database, PPDB, which contains over 220 million paraphrase pairs, consisting of 73 million phrasal and 8 million lexical paraphrases. Expand

Optimizing Statistical Machine Translation for Text Simplification

W. Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, Chris Callison-Burch
Computer Science
Transactions of the Association for Computational…
27 July 2016

We present an in-depth adaptation of statistical machine translation to perform text simplification, taking advantage of large-scale paraphrases learned from bilingual texts and a small amount of manual simplifications with multiple references. Expand

Findings of the 2012 Workshop on Statistical Machine Translation

Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia
Computer Science
WMT@NAACL-HLT
7 June 2012

This paper presents the results of the WMT12 shared tasks, which included a translation task, a task for machine translation evaluation metrics, and atask for run-time estimation of machine translation quality. Expand

PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification

Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch
Computer Science
ACL
1 July 2015

We present a new release of the Paraphrase Database. PPDB 2.0 includes a discriminatively re-ranked set of paraphrases that achieve a higher correlation with human judgments than PPDB 1.0’s heuristic… Expand

Paraphrasing with Bilingual Parallel Corpora

Colin Bannard, Chris Callison-Burch
Computer Science
ACL
25 June 2005

We introduce a novel method for extracting paraphrases that uses bilingual parallel corpora, a much more commonly available resource. Expand

Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding

P. Koehn, Marcello Federico, +10 authors C. C. Moran
Computer Science
2006

(Meta-) Evaluation of Machine Translation

Chris Callison-Burch, Cameron S. Fordyce, Philipp Koehn, Christof Monz, J. Schroeder
Computer Science
WMT@ACL
23 June 2007

This paper evaluates the translation quality of machine translation systems for 8 language pairs: translating French, German, Spanish, and Czech to English and back. Expand

Problems in Current Text Simplification Research: New Data Can Help

W. Xu, Chris Callison-Burch, Courtney Napoles
Computer Science
Transactions of the Association for Computational…
24 May 2015

We introduce a new simplification dataset that is a significant improvement over Simple Wikipedia, and present a novel quantitative-comparative approach to study the quality of simplification data resources. Expand

Edinburgh system description for the 2005 IWSLT speech translation evaluation

Philipp Koehn, A. Axelrod, Alexandra Birch, Chris Callison-Burch, M. Osborne, David Talbot
Computer Science
IWSLT
2005

We adapted our statistical machine translation system that performed successfully in previous DARPA competitions on open domain text translations to the limited domain speech translation task. Expand

Recommended Authors