An analysis of grammatical errors in non-native speech in English

John Lee; Stephanie Seneff

doi:10.1109/SLT.2008.4777847

An analysis of grammatical errors in non-native speech in English

John Lee
, Stephanie Seneff

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

30 Citations (Scopus)

Abstract

While a wide variety of grammatical mistakes may be observed in the speech of non-native speakers, the types and frequencies of these mistakes are not random. Certain parts of speech, for example, have been shown to be especially problematic for Japanese learners of English [1]. Modeling these errors can potentially enhance the performance of computer-assisted language learning systems. This paper presents an automatic method to estimate an error model from a non-native English corpus, focusing on articles and prepositions. A fine-grained analysis is achieved by conditioning the errors on appropriate words in the context. © 2008 IEEE.

Original language	English
Title of host publication	2008 IEEE Workshop on Spoken Language Technology, SLT 2008 - Proceedings
Pages	89-92
DOIs	https://doi.org/10.1109/SLT.2008.4777847
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE Workshop on Spoken Language Technology, SLT 2008 - Goa, India Duration: 15 Dec 2008 → 18 Dec 2008 https://ieeexplore.ieee.org/xpl/conhome/4768845/proceeding

Conference

Conference	2008 IEEE Workshop on Spoken Language Technology, SLT 2008
Place	India
City	Goa
Period	15/12/08 → 18/12/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4768845/proceeding

Research Keywords

Computer-assisted language learning
Grammar checking
Second language acquisition

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10.1109/SLT.2008.4777847

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AB - While a wide variety of grammatical mistakes may be observed in the speech of non-native speakers, the types and frequencies of these mistakes are not random. Certain parts of speech, for example, have been shown to be especially problematic for Japanese learners of English [1]. Modeling these errors can potentially enhance the performance of computer-assisted language learning systems. This paper presents an automatic method to estimate an error model from a non-native English corpus, focusing on articles and prepositions. A fine-grained analysis is achieved by conditioning the errors on appropriate words in the context. © 2008 IEEE.

KW - Computer-assisted language learning

KW - Grammar checking

KW - Second language acquisition

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DO - 10.1109/SLT.2008.4777847

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424434725

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EP - 92

BT - 2008 IEEE Workshop on Spoken Language Technology, SLT 2008 - Proceedings

T2 - 2008 IEEE Workshop on Spoken Language Technology, SLT 2008

Y2 - 15 December 2008 through 18 December 2008

ER -

An analysis of grammatical errors in non-native speech in English

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Research Keywords

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