CALICO Journal, Vol 26, No 3 (2009)

Robo-Sensei's NLP-Based Error Detection and Feedback Generation

Noriko Nagata
Issued Date: 7 Aug 2014

Abstract


This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package ROBO-SENSEI: Personal Japanese Tutor (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic parser, an error detector, and a feedback generator. The present paper focuses on the error detector and the feedback generator and describes how those components are integrated into Robo-Sensei's NLP system, what types of errors are detected, and what kinds of feedback messages are generated. The author is currently developing a new Robo-Sensei online textbook (Nagata, in press). The updated system is the NLP processing engine behind the new textbook.

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DOI: 10.1558/cj.v26i3.562-579

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