Web-Scale N-gram Models for Lexical Disambiguation

by Shane Bergsma , Dekang Lin , Google Inc , Randy Goebel
Citations:31 - 4 self

Active Bibliography

Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
17 Generating Confusion Sets for Context-Sensitive Error Correction – Alla Rozovskaya, Dan Roth
2 Improved Natural Language Learning via Variance-Regularization Support Vector Machines – Shane Bergsma, Dekang Lin, Dale Schuurmans
16 Algorithm Selection and Model Adaptation for ESL Correction Tasks – Alla Rozovskaya, Dan Roth
1 Unsupervised Acquisition of Lexical Knowledge From N-grams: Final Report of the 2009 JHU CLSP Workshop – Dekang Lin, Kenneth Church, Heng Ji, Satoshi Sekine, David Yarowsky, Shane Bergsma, Kailash Patil, Emily Pitler, Rachel Lathbury, Vikram Rao, Kapil Dalwani, Sushant Narsale
28 New Tools for Web-Scale N-grams – Dekang Lin, Kenneth Church, Heng Ji, Satoshi Sekine, David Yarowsky, Shane Bergsma, Kailash Patil, Emily Pitler, Rachel Lathbury, Vikram Rao, Kapil Dalwani, Sushant Narsale
7 Memory-Based Context-Sensitive Spelling Correction at Web Scale – Andrew Carlson
5 Exploring the Data-Driven Prediction of Prepositions in English – Anas Elghafari, Detmar Meurers, Holger Wunsch, Universität Tübingen
15 Real-word spelling correction using google web 1tn-gram data set – Aminul Islam, Diana Inkpen - 2009
On the Instability of Using Search Engine Page Hits as a Proxy for n-gram Frequencies – Preslav Nakov, Marti Hearst
11 A study of using search engine page hits as a proxy for n-gram frequencies – Preslav Nakov, Marti Hearst - 2005
Evaluating the Impact of Morphosyntactic Ambiguity in Grammatical Error Detection – Arantza Díaz De Ilarraza, Koldo Gojenola, Maite Oronoz
Textual Corpora Using n-Gram Statistics – Andrew Carlson, Tom M. Mitchell, Ian Fette, Andrew Carlson, Tom M. Mitchell, Ian Fette - 2008
Language modeling for . . . – Bo-june (Paul) Hsu - 2009
3 The effect of corpus size on case frame acquisition for discourse analysis – Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi - 2009
Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models – Wei Xu C
4 Multi-Level Feature Extraction for Spelling Correction – Johannes Schaback
28 Relational Learning for NLP using Linear Threshold Elements – Roni Khardon, Dan Roth, Leslie G. Valiant - 1999
13 Creating Robust Supervised Classifiers via Web-Scale N-gram Data – Shane Bergsma, Emily Pitler, Dekang Lin