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EMNLP
2010
13 years 2 months ago
Generating Confusion Sets for Context-Sensitive Error Correction
In this paper, we consider the problem of generating candidate corrections for the task of correcting errors in text. We focus on the task of correcting errors in preposition usag...
Alla Rozovskaya, Dan Roth
LREC
2008
125views Education» more  LREC 2008»
13 years 6 months ago
I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes
This paper presents a context sensitive spell checking system that uses mixed trigram models, and introduces a new empirically grounded method for building confusion sets. The pro...
Davide Fossati, Barbara Di Eugenio
LREC
2010
187views Education» more  LREC 2010»
13 years 6 months ago
A Large List of Confusion Sets for Spellchecking Assessed Against a Corpus of Real-word Errors
One of the methods that has been proposed for dealing with real-word errors (errors that occur when a correctly spelled word is substituted for the one intended) is the "conf...
Jennifer Pedler, Roger Mitton
COLING
2010
12 years 11 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
SIAMDM
2010
137views more  SIAMDM 2010»
13 years 3 months ago
Repetition Error Correcting Sets: Explicit Constructions and Prefixing Methods
In this paper we study the problem of finding maximally sized subsets of binary strings (codes) of equal length that are immune to a given number r of repetitions, in the sense th...
Lara Dolecek, Venkat Anantharam