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A Bayesian Hybrid Method for Context-sensitive Spelling Correction
Andrew Golding
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Paper Details:
Year: 1995
Venue:
VLC |
WS |
SIG: SIGDAT
Citations
URL
An Unsupervised Method for Detecting Grammatical Errors
Martin Chodorow
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Claudia Leacock
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Contextual Spelling Correction Using Latent Semantic Analysis
Michael P. Jones
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James H. Martin
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Word sense disambiguation criteria: a systematic study
Laurent Audibert
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A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
Joachim Wagner
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Jennifer Foster
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Josef van Genabith
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Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models
Wei Xu
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Joel Tetreault
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Martin Chodorow
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Ralph Grishman
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Le Zhao
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Web Text Corpus for Natural Language Processing
Vinci Liu
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James R. Curran
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Detection of Japanese Homophone Errors by a Decision List Including a Written Word as a Default Evidence
Hiroyuki Shinnou
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Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing
Michele Banko
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Eric Brill
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Using Corpus Statistics and WordNet Relations for Sense Identification
Claudia Leacock
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Martin Chodorow
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George A. Miller
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I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes
Davide Fossati
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Barbara Di Eugenio
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A Context-Sensitive Homograph Disambiguation in Thai Text-to-Speech Synthesis
Virongrong Tesprasit
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Paisarn Charoenpornsawat
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Virach Sornlertlamvanich
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The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
Mirella Lapata
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Frank Keller
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Using Mostly Native Data to Correct Errors in Learners’ Writing
Michael Gamon
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Scaling to Very Very Large Corpora for Natural Language Disambiguation
Michele Banko
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Eric Brill
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Combining Trigram-Based and Feature-Based Methods for Context-Sensitive Spelling Correction
Andrew Golding
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Yves Schabes
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Combining Trigram and Winnow in Thai OCR Error Correction
Surapant Meknavin
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Boonserm Kijsirikul
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Ananlada Chotimongkol
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Cholwich Nuttee
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Learning in Natural Language: Theory and Algorithmic Approaches
Dan Roth
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A Sequential Model for Multi-Class Classification
Yair Even-Zohar
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Dan Roth
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Augmented Mixture Models for Lexical Disambiguation
Silviu Cucerzan
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David Yarowsky
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Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users
Silviu Cucerzan
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Eric Brill
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A Weakly Supervised Learning Approach for Spoken Language Understanding
Wei-Lin Wu
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Ru-Zhan Lu
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Jian-Yong Duan
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Hui Liu
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Feng Gao
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Yu-Quan Chen
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All-word Prediction as the Ultimate Confusible Disambiguation
Antal van den Bosch
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Language Models for Contextual Error Detection and Correction
Herman Stehouwer
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Menno van Zaanen
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Google Books N-gram Corpus used as a Grammar Checker
Rogelio Nazar
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Irene Renau
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A Statistical Approach to Automatic OCR Error Correction in Context
Xiang Tong
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David A. Evans
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Methods and tricks used in an attempt to pass the Turing Test
V. Bastin
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D. Cordier
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No URLs Found
Field Of Study
Task
Tagging
Spelling Correction
Language
Spanish
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