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An Improved Error Model for Noisy Channel Spelling Correction

An Improved Error Model for Noisy Channel Spelling Correction

... The noisy channel model (Shannon 1948) has been successfully applied to a wide range of problems, including spelling ...source model and a channel ...the channel ... See full document

8

Pronunciation Modeling for Improved Spelling Correction

Pronunciation Modeling for Improved Spelling Correction

... high spelling correction accuracy has been ...new error model, allowing generic string-to-string edits. This model reduced the error rate of the best previous model by ... See full document

8

Noisy Channel for Low Resource Grammatical Error Correction

Noisy Channel for Low Resource Grammatical Error Correction

... and error type in Table ...of error types, but with varying quality. The model performs particularly well on spelling er- rors, subject–verb agreement errors and inserting missing ...the ... See full document

6

A Noisy Channel Approach to Error Correction in Spoken Referring Expressions

A Noisy Channel Approach to Error Correction in Spoken Referring Expressions

... the noisy channel model is that a message is sent through a channel that intro- duces errors, and the receiver endeavours to re- construct the original message by taking into ac- count the ... See full document

9

A Noisy Channel Model Framework for Grammatical Correction

A Noisy Channel Model Framework for Grammatical Correction

... The channel model provides a definition of trans- formations that could have been applied to a sen- tence before we observed ...mar error we might encounter, but makes a good first approximation, and ... See full document

6

Automated Whole Sentence Grammar Correction Using a Noisy Channel Model

Automated Whole Sentence Grammar Correction Using a Noisy Channel Model

... To achieve maximum performance, we wish to learn the parameters of the noise models. If we had a large set of erroneous sentences, along with a hand- annotated list of the specific errors and their correc- tions, it ... See full document

11

Improved Iterative Correction for Distant Spelling Errors

Improved Iterative Correction for Distant Spelling Errors

... the noisy chan- nel, reported by (Cucerzan and Brill, ...the noisy channel and the iterative methods is infe- rior to our proposed method, see Figure ... See full document

6

A Phrase Based Statistical Model for SMS Text Normalization

A Phrase Based Statistical Model for SMS Text Normalization

... tion model for general domain instant messaging used in Internet chat ...and spelling correction for nor- malization of general noisy text (rather than SMS or instant messaging texts) based on ... See full document

8

Joint English Spelling Error Correction and POS Tagging for Language Learners Writing

Joint English Spelling Error Correction and POS Tagging for Language Learners Writing

... determiner error correction, highly- ranked teams employ the strategy of spelling correction as preprocessing based on edit ...with spelling correction at the same time as whole ... See full document

18

A Discriminative Model for Query Spelling Correction with Latent Structural SVM

A Discriminative Model for Query Spelling Correction with Latent Structural SVM

... candidate correction of a ...the noisy channel model with a standard search algo- rithm to find the 20 best ...best correction for the ...query spelling correction is an ... See full document

11

CMUQ@QALB 2014: An SMT based System for Automatic Arabic Error Correction

CMUQ@QALB 2014: An SMT based System for Automatic Arabic Error Correction

... non-word correction method. In order to build an Arabic spelling checker, Attia et ...an error model by analyzing error types and by creating an edit distance ...for spelling ... See full document

6

A Framework for Spelling Correction in Persian Language Using Noisy Channel Model

A Framework for Spelling Correction in Persian Language Using Noisy Channel Model

... An improved model for Noisy Channel Brill and Moore (2000) introduced a much more complex and comprehensive technique by using the Noisy Channel ...this model, instead of ... See full document

5

Improved Spelling Error Detection and Correction for Arabic

Improved Spelling Error Detection and Correction for Arabic

... language model (mainly bigrams) trained on the largest available corpus to date, the Arabic Gigaword Corpus 5 th ...classify spelling errors by comparing the errors with the gold correction, and, ... See full document

10

A Spelling Correction Program Based on a Noisy Channel Model

A Spelling Correction Program Based on a Noisy Channel Model

... A Spelling Correction Program Based on a Noisy Channel Model 1 A Spelling Correction P r o g r a m Based on a N o i s y Channel M o d e l Mark D Kemighan Kenneth W Church William A Gale A T & T Bell L[.] ... See full document

6

Learning a Spelling Error Model from Search Query Logs

Learning a Spelling Error Model from Search Query Logs

... language model and probabilistic error model directly from search query logs without requiring a corpus of misspelled words paired with their ...query spelling correction is analyzed, ... See full document

8

Comparative Analysis of Error Correcting Codes for Noisy Channel

Comparative Analysis of Error Correcting Codes for Noisy Channel

... as channel codes due to their excellent error detection and correction ...in error, this counts as only one symbol error in terms of the correction capacity of the ... See full document

7

Spelling Correction for Morphologically Rich Language: a Case Study of Russian

Spelling Correction for Morphologically Rich Language: a Case Study of Russian

... Our results are rather convincing in order to prove that morphological and semantic features are use- ful for better spelling correction. However, they are still far from being perfect, therefore we should ... See full document

9

CMU Haitian Creole English Translation System for WMT 2011

CMU Haitian Creole English Translation System for WMT 2011

... The features are defined primarily based on trans- lation lexicon probabilities. Rather than computing word alignment between the two sentences, we use lexical probabilities to determine alignment points as follows: a ... See full document

7

Arib@QALB 2015 Shared Task: A Hybrid Cascade Model for Arabic Spelling Error Detection and Correction

Arib@QALB 2015 Shared Task: A Hybrid Cascade Model for Arabic Spelling Error Detection and Correction

... Arabic spelling error detection and correction as part of the second Shared Task on Automatic Arabic Error ...of spelling error and applies a combination of approaches including ... See full document

6

A Noisy Channel Model for Document Compression

A Noisy Channel Model for Document Compression

... hierarchical noisy-channel model of text ...hierarchical model of text produc- tion in order to drop non-important syn- tactic and discourse constituents so as to generate coherent, ... See full document

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