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- W313670572 abstract "An online intelligent tutoring system Azalea demonstrated here is the first attempt of its kind in simulating a human teacher firstly by diagnosing free-format-based students' English translations, and then returning error contingent feedback with suggested corrections. We have designed this KE (knowledge engineer)-free-ICALL by exploiting a FSA (finite state automaton)-based template-system as a knowledge base, the HCS (heaviest common sequence)-based global matching algorithm as a diagnostic engine, a POST(part-of-speech-tag) parser-based student model and the VTAT (visual template authoring tool) as an easy-to-use authoring tool, because the language teacher can build the knowledge system entirely by himself/herself without any help from KE’s. The system has not only solved a so-called KE bottleneck problem in conventional expert-systems, but has opened a way of application to ICALL for other languages due to the language independence of automaton principle adopted. 1 System Configuration C LIE N T SE R V E R" @default.
- W313670572 created "2016-06-24" @default.
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- W313670572 date "2001-01-01" @default.
- W313670572 modified "2023-09-23" @default.
- W313670572 title "AZALEA: A KE-Free ICALL (intelligent computer assisted language learning) System for Japanese-English Translation." @default.
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