Chris Quirk is a Researcher in the Natural Language Processing Group.

Background and interests

After studying Computer Science and Mathematics at Carnegie Mellon University, I joined Microsoft in 2000, and started work with the Natural Language Processing group in 2001. Currently I'm working on machine translation, exploring ways to combine traditional linguistic methods with recent statistical advances. In addition, I've spent some time investigating automated MT evaluation and translation confidence scoring. Most recently I've done some investigations into applying effective statistical machine translation techniques to monolingual problems.

Publications

• Robert C. Moore, Chris Quirk. Faster Beam-Search Decoding for Phrasal Statistical Machine Translation September 2007 Copenhagen, Denmark Proceedings of MT Summit XI
• Chris Quirk, Raghavendra Udupa, Arul Menezes. Generative Models of Noisy Translations with Applications to Parallel Fragment Extraction September 2007 Copenhagen, Denmark Proceedings of MT Summit XI
• Arul Menezes, Chris Quirk. Using Dependency Order Templates to Improve Generality in Translation July 2007 Prague, Czech Republic Proceedings of the Second Workshop on Statistical Machine Translation at ACL 2007
• Robert C. Moore, Chris Quirk. An Iteratively-Trained Segmentation-Free Phrase Translation Model for Statistical Machine Translation July 2007 Prague, Czech Republic Proceedings of the Second Workshop on Statistical Machine Translation at ACL 2007
• Chris Quirk, Simon Corston-Oliver. The impact of parse quality on syntactically-informed statistical machine translation July 2006 Sydney, Australia Proceedings of EMNLP 2006
• Chris Quirk, Arul Menezes. Do we need phrases? Challenging the conventional wisdom in Statistical Machine Translation May 2006 New York, New York, USA Proceedings of HLT-NAACL 2006
• Chris Quirk, Arul Menezes. Dependency Treelet Translation: The convergence of statistical and example-based machine translation? March 2006 Machine Translation 43--65 20
• Arul Menezes, Chris Quirk. Microsoft Research Treelet Translation System: IWSLT Evaluation October 2005 Pittsburgh, PA Proceedings of the International Workshop on Spoken Language Translation
• Chris Quirk, Arul Menezes, Colin Cherry. Dependency Tree Translation: Syntactically Informed Phrasal SMT June 2005 Ann Arbor, MI Proceedings of ACL

2004

• Quirk, Chris, Arul Menezes, and Colin Cherry. 2004. Dependency Tree Translation: Syntactically Informed Phrasal SMT. Microsoft Research Technical Report: MSR-TR-2004-113.
• Aue, Anthony, Arul Menezes, Bob Moore, Chris Quirk and Eric Ringger. 2004. Statistical Machine Translation Using Labeled Semantic Dependency Graphs. In Proceedings of TMI 2004, Baltimore, MD, USA.
• Dolan, William, Chris Quirk, and Chris Brockett. 2004. Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources. In Proceedings of COLING 2004, Geneva, Switzerland.
• Quirk, Chris, Chris Brockett, and William Dolan. 2004. Monolingual Machine Translation for Paraphrase Generation. In Proceedings of EMNLP 2004, Barcelona, Spain. (with editorial correction)
• Quirk, Chris. 2004. Training a Sentence-Level Machine Translation Confidence Metric. In Proceedings of LREC 2004, Lisbon, Portugal.

2003

• Aikawa, Takako, Chris Quirk, and Lee Schwartz. 2003. Learning prepositional attachment from sentence aligned bilingual corpora. In Proceedings of MT Summit IX, New Orleans, LA, USA.

2002

• Brockett, Chris, Takako Aikawa, Anthony Aue, Arul Menezes, Chris Quirk and Hisami Suzuki. 2002. English-Japanese Example-Based Machine Translation Using Abstract Semantic Representations In COLING 2002 Workshop, Taiwan.

Natural Language Processing Group's home page.