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ACL
2009
13 years 2 months ago
Using Generation for Grammar Analysis and Error Detection
We demonstrate that the bidirectionality of deep grammars, allowing them to generate as well as parse sentences, can be used to automatically and effectively identify errors in th...
Michael Goodman, Francis Bond
EMNLP
2007
13 years 5 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
ACL
2006
13 years 5 months ago
FAST - An Automatic Generation System for Grammar Tests
This paper introduces a method for the semi-automatic generation of grammar test items by applying Natural Language Processing (NLP) techniques. Based on manually-designed pattern...
Chia-Yin Chen, Hsien-Chin Liou, Jason S. Chang
ICASSP
2008
IEEE
13 years 10 months ago
Effective error prediction using decision tree for ASR grammar network in call system
CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it st...
Hongcui Wang, Tatsuya Kawahara