Howard Johnson


2012

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Conditional Significance Pruning: Discarding More of Huge Phrase Tables
Howard Johnson
Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers

The technique of pruning phrase tables that are used for statistical machine translation (SMT) can achieve substantial reductions in bulk and improve translation quality, especially for very large corpora such at the Giga-FrEn. This can be further improved by conditioning each significance test on other phrase pair co-occurrence counts resulting in an additional reduction in size and increase in BLEU score. A series of experiments using Moses and the WMT11 corpora for French to English have been performed to quantify the improvement. By adhering strictly to the recommendations for the WMT11 baseline system, a strong reproducible research baseline was employed.

2011

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Unpacking and Transforming Feature Functions: New Ways to Smooth Phrase Tables
Boxing Chen | Roland Kuhn | George Foster | Howard Johnson
Proceedings of Machine Translation Summit XIII: Papers

2010

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Lessons from NRC’s Portage System at WMT 2010
Samuel Larkin | Boxing Chen | George Foster | Ulrich Germann | Eric Joanis | Howard Johnson | Roland Kuhn
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

2007

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Improving Translation Quality by Discarding Most of the Phrasetable
Howard Johnson | Joel Martin | George Foster | Roland Kuhn
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

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NRC‘s PORTAGE System for WMT 2007
Nicola Ueffing | Michel Simard | Samuel Larkin | Howard Johnson
Proceedings of the Second Workshop on Statistical Machine Translation

2006

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Phrasetable Smoothing for Statistical Machine Translation
George Foster | Roland Kuhn | Howard Johnson
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

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PORTAGE: with Smoothed Phrase Tables and Segment Choice Models
Howard Johnson | Fatiha Sadat | George Foster | Roland Kuhn | Michel Simard | Eric Joanis | Samuel Larkin
Proceedings on the Workshop on Statistical Machine Translation

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Segment Choice Models: Feature-Rich Models for Global Distortion in Statistical Machine Translation
Roland Kuhn | Denis Yuen | Michel Simard | Patrick Paul | George Foster | Eric Joanis | Howard Johnson
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

2005

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PORTAGE: A Phrase-Based Machine Translation System
Fatiha Sadat | Howard Johnson | Akakpo Agbago | George Foster | Roland Kuhn | Joel Martin | Aaron Tikuisis
Proceedings of the ACL Workshop on Building and Using Parallel Texts

2003

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Aligning and Using an English-Inuktitut Parallel Corpus
Joel Martin | Howard Johnson | Benoit Farley | Anna Maclachlan
Proceedings of the HLT-NAACL 2003 Workshop on Building and Using Parallel Texts: Data Driven Machine Translation and Beyond

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Unsupervised Learning of Morphology for English and Inuktitut
Howard Johnson | Joel Martin
Companion Volume of the Proceedings of HLT-NAACL 2003 - Short Papers