Chris Callison-burch

Paraphrase Substutution for Recognizing Textual Entailment (2008)

ccb cs jhu edu We improve the quality of paraphrases extracted from parallel corpora by requiring that phrases and their paraphrases be the same syntactic type. This is achieved by parsing the...

Wauter Bosma, Chris Callison-burch

Abstract. We describe a method for recognizing textual entailment that uses the length of the longest common subsequence (LCS) between two texts as its decision criterion. Rather than requiring...

June 19–21, 2006 • Barcelona, Spain TC-STAR Workshop on Speech-to-Speech Translation Edinburgh System Description for the 2006 TC-STAR Spoken Language Translation Evaluation (2008)

Abhishek Arun, Amittai Axelrod, Ra Birch Mayne, Chris Callison-burch, Hieu Hoang, Miles Osborne, ...

In this paper we describe the Edinburgh University statistical machine translation system, as used for the TC-STAR 2006 evaluation campaign. We participated in the primary Final Text Edition track...

formed Edinburgh University Statistical Machine Translation Group. Our entry to the 2005 DARPA/NIST MT Evaluation (2008)

Amittai Axelrod, Ra Birch Mayne, Chris Callison-burch, Miles Osborne, David Talbot, Michael White

This document describes the first NIST MT Evaluation submission of the newly

l participation in CLEF 2006 Answer Validation Exercise (2008)

Chris Callison-burch, Prepared Teresa Herrmann, Pd Günter Neumann, L Wauter Bosma, Chris Callison-burch, Recognizing Textualentailment

l Given 2 text passages

A Compact Data Structure for Searchable Translation Memories (2008)

The Joint Probability Model proposed (2008)

In this paper we describe searchable translation memories, which allow translators to search their archives for possible translations of phrases. We describe how statistical machine translation can...

Alexandra Birch, Chris Callison-burch, Miles Osborne

Secondary Benefits of Feedback and User Interaction in Machine Translation Tools (2007)

Raymond S. Flournoy, Chris Callison-burch

User feedback has often been proposed as a method for improving the accuracy of machine translation systems, but useful feedback can also serve a number of secondary benefits, including increasing...

1 Statistical Natural Language Processing (2007)

Ali Farghaly, Chris Callison-burch, Miles Osborne

Statistical natural language processing (SNLP) 1 is a field lying in the intersection of natural language processing and machine learning. SNLP differs from traditional natural language processing in...

Upping the Ante for “Best of Breed ” Machine Translation Providers (2007)

Paraphrasing and Translation (2007)

The notion of “best of breed ” among value-added machine translation technology providers is generally defined as providing access to the single best commercially available machine translation...

Contents (2007)

John Beavers, Tim Baldwin, Colin Bannard, Chris Callison-burch, Ann Copestake, Dan Flickinger, ...

all of their comments, suggestions, and help in developing this system. I'd like to especially acknowledge Ann Copestake and Aline Villavicencio's earlier CCG LKB implementation as an...

Paraphrasing and Translation (2007)

Paraphrasing and translation have previously been treated as unconnected natural lan-guage processing tasks. Whereas translation represents the preservation of meaning when an idea is rendered in the...

Moses: Open source toolkit for statistical machine translation (2007)

Paraphrasing and translation have previously been treated as unconnected natural lan-guage processing tasks. Whereas translation represents the preservation of meaning when an idea is rendered in the...

Hieu Hoang, Alexandra Birch, Chris Callison-burch, Richard Zens, Rwth Aachen, Alexandra Constantin, ...

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 (c)...

Improved statistical machine translation using paraphrases (2006)

Re-evaluating the role of BLEU in machine translation research (2006)

Parallel corpora are crucial for training SMT systems. However, for many language pairs they are available only in very limited quantities. For these language pairs a huge portion of phrases...

Re-evaluating the Role of BLEU in Machine Translation Research (2006)

We argue that the machine translation community is overly reliant on the Bleu machine translation evaluation metric. We show that an improved Bleu score is neither necessary nor sufficient for...

Chris Callison-Burch, Miles Osborne, Philipp Koehn

We argue that the machine translation community is overly reliant on the Bleu machine translation evaluation metric. We show that an improved Bleu score is neither necessary nor sufficient for...

Proceedings of the Workshop on Statistical Machine Translation, pages 154--157, (2006)

New York City, Alexandra Birch, Chris Callison-burch, Miles Osborne

The joint probability model proposed by Marcu and Wong (2002) provides a strong probabilistic framework for phrase-based statistical machine translation (SMT). The model's usefulness is,...

Improved statistical machine translation using paraphrases (2006)

Re-evaluating the role of BLEU in machine translation research (2006)

Parallel corpora are crucial for training SMT systems. However, for many language pairs they are available only in very limited quantities. For these language pairs a huge portion of phrases...

Constraining the phrase-based, joint probability statistical translation model (2006)

We argue that the machine translation community is overly reliant on the Bleu machine translation evaluation metric. We show that an improved Bleu score is neither necessary nor sufficient for...

Alexandra Birch, Chris Callison-burch, Miles Osborne

The joint probability model proposed by Marcu and Wong (2002) provides a strong probabilistic framework for phrase-based statistical machine translation (SMT). The model’s usefulness is, however,...

Improved statistical machine translation using paraphrases (2006)

Scaling phrase-based statistical machine translation to larger corpora and longer phrases (2005)

Parallel corpora are crucial for training SMT systems. However, for many language pairs they are available only in very limited quantities. For these language pairs a huge portion of phrases...

Paraphrasing with Bilingual Parallel Corpora (2005)

In this paper we describe a novel data structure for phrase-based statistical machine translation which allows for the retrieval of arbitrarily long phrases while simultaneously using less memory...

Colin Bannard, Chris Callison-burch

Previous work has used monolingual parallel corpora to extract and generate paraphrases. We show that this task can be done using bilingual parallel corpora, a much more commonly available resource....

Edinburgh system description for the 2005 IWSLT speech translation evaluation (2005)

Amittai Axelrod, Ra Birch Mayne, Chris Callison-burch, Miles Osborne, David Talbot

Our participation in the IWSLT 2005 speech translation task is our first effort to work on limited domain speech data. We adapted our statistical machine translation system that performed...

Introduction to statistical machine translation. Available from http://www.statmt.org (2005)

Paraphrasing with Bilingual Parallel Corpora (2005)

Colin Bannard, Chris Callison-burch

Previous work has used monolingual parallel corpora to extract and generate paraphrases. We show that this task can be done using bilingual parallel corpora, a much more commonly available resource....

Scaling phrase-based statistical machine translation to larger corpora and longer phrases (2005)

Statistical machine translation with word- and sentence-aligned parallel corpora (2004)

In this paper we describe a novel data structure for phrase-based statistical machine translation which allows for the retrieval of arbitrarily long phrases while simultaneously using less memory...

Chris Callison-burch, David Talbot, Miles Osborne

The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and translation quality of such...

Statistical Machine Translation with Word- And Sentence-Aligned Parallel Corpora (2004)

Chris Callison-Burch, David Talbot, Miles Osborne

The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and translation quality of such...

Searchable translation memories (2004)

Chris Callison-burch, Colin Bannard, Josh Schroeder

In this paper we introduce a technique for creating searchable translation memories. Linear B’s searchable translation memories allow a translator to type in a phrase and retrieve a ranked list of...

Statistical machine translation with word- and sentence-aligned parallel corpora (2004)

Chris Callison-burch, David Talbot, Miles Osborne

The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and translation quality of such...

Improving statistical translation through editing. European Association for Machine Translation (EAMT-04) Workshop (2004)

Evaluating question answering systems using FAQ answer injection (2003)

In this paper we introduce Linear B’s statistical machine translation system. We describe how Linear B’s phrase-based translation models are learned from a parallel corpus, and show how the...

Jochen L. Leidner, Chris Callison-burch

Question answering (NLQA) systems which retrieve a textual fragment from a document collection that represents the answer to a question are an active field of research. But evaluations currently...

Active Learning for Statistical Machine Translation (2003)

Bootstrapping parallel corpora (2003)

For my PhD I propose to apply active learning to statistical machine translation. Sta-tistical machine translation is a data-intensive way of producing translation systems. It uses machine learning...

1 Statistical Natural Language Processing (2003)

We present two methods for the automatic creation of parallel corpora. Whereas previous work into the automatic construction of parallel corpora has focused on harvesting them from the web, we...

Ali Farghaly, Chris Callison-burch, Miles Osborne

Statistical natural language processing (SNLP) 1 is a field lying in the intersection of natural language processing and machine learning. SNLP differs from traditional natural language processing in...

Co-training for Statistical Machine Translation (2002)

Co-training for Statistical Machine Translation (2002)

I propose a novel co-training method for statistical machine translation. As co-training requires multiple learners trained on views of the data which are disjoint and suffi-cient for the labeling...