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» Automatic Error Detection in the Japanese Learners' English ...
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ACL
2003
13 years 6 months ago
Automatic Error Detection in the Japanese Learners' English Spoken Data
This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection wi...
Emi Izumi, Kiyotaka Uchimoto, Toyomi Saiga, Thepch...
IADIS
2004
13 years 6 months ago
Recognizing Article Errors Based on the Three Head Words
In this paper, we present a statistical model for detecting article errors, which Japanese learners of English often make in English writing. The model detects article errors base...
Ryo Nagata, Fumito Masui, Atsuo Kawai, Naoki Isu
IJCNLP
2005
Springer
13 years 11 months ago
Detecting Article Errors Based on the Mass Count Distinction
Abstract. This paper proposes a method for detecting errors concerning article usage and singular/plural usage based on the mass count distinction. Although the mass count distinct...
Ryo Nagata, Takahiro Wakana, Fumito Masui, Atsuo K...
ICASSP
2008
IEEE
13 years 12 months ago
Learning with noisy supervision for Spoken Language Understanding
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
Christian Raymond, G. Riccardfi