2002
DOI: 10.1076/call.15.4.357.8267
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A POST Parser-Based Learner Model for Template-Based ICALL for Japanese-English Writing Skills

Abstract: Improving the parsing accuracy of a statistical`context sensitive' parser, we have developed a new learner model which is capable of identifying the structural de®ciencies of a learner for the template-automaton-based ICALL (intelligent language tutoring system) of Japanese-English writing skill (Tokuda & Chen, 2001). The parsing accuracy of corpus-based parsers is improved ®rst by pre-assigning POS (part-of-speech) tags to well-formed sentences in a template and then by making use of a compound dictionary of … Show more

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Cited by 11 publications
(5 citation statements)
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“…The primary aim was to identify the structural weaknesses in learners' Japanese-English writing skills within the template-automaton-based intelligent computer-assisted language learning (ICALL) system. The researchers first enhanced the parsing accuracy by assigning part-of-speech (POS) tags to well-formed sentences within a template [43].…”
Section: Template Matching and E-learningmentioning
confidence: 99%
See 1 more Smart Citation
“…The primary aim was to identify the structural weaknesses in learners' Japanese-English writing skills within the template-automaton-based intelligent computer-assisted language learning (ICALL) system. The researchers first enhanced the parsing accuracy by assigning part-of-speech (POS) tags to well-formed sentences within a template [43].…”
Section: Template Matching and E-learningmentioning
confidence: 99%
“…This innovative syntactic-based learner model effectively identifies the structural deficiencies of a learner, primarily stemming from differences between their first and second languages. This introduces an entirely new approach to remediation within the ICALL system [43].…”
Section: Template Matching and E-learningmentioning
confidence: 99%
“…Using a similar ICALL system, Chen and Tokuda (2003), Chen, Tokuda and Xiao (2002) and Tokuda and Chen (2001) have developed a sophisticated program for online translation training based on template pattern matching. The templates use words or phrases as a minimal unit, with the databases selected by experienced language teachers in the light of responses collected from sample students.…”
Section: Hintsmentioning
confidence: 99%
“…This operates by applying the parser to the closest model translation to obtain the best matched path to the student input translation, and identifying all deviations from the correctly parsed trees as errors. The parser not only provides a visualized tree demonstrating where students' errors are located, but also acts as the base for setting up an efficient learner model showing how these errors can best be repaired (Chen et al, 2002).…”
Section: Graphicsmentioning
confidence: 99%
“…Using a similar Intelligent CALL system, Chen & Tokuda (2003), Chen, Tokuda & Xiao (2002) and Tokuda & Chen (2001) have developed a sophisticated programme for online translation training based on template pattern matching. The templates use words or phrases as a minimal unit, with the databases selected by experienced language teachers in the light of responses collected from sample students.…”
mentioning
confidence: 99%