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US 7,013,262 B2Granted
System and method for accurate grammar analysis using a learners' model and part-of-speech tagged (POST) parser
AssigneeSunflare Co., Ltd.
InventorsNaoyuki Tokuda, Liang Chen, Hiroyuki Sasai
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Abstract
An accurate grammar analyzer based on a so-called POST (part-of-speech tagged) parser and a learners' model for use in automated language learning applications such as the template-based ICALL (intelligent computer assisted language learning) system.
Claims5
In a computer-assisted language learning system, a method for analyzing grammar and building a learners' model using a student's level of proficiency, comprising the steps of:
- maintaining a syntactic error table for the student, said error table including a column listing syntactic subtrees with associated frequency fields;
- determining a proficiency level of a student's writing ability using a sentence input by the student;
- matching the input sentence to a correct sentence in a database template;
- obtaining a grammar tree of the matched correct sentence;
- matching the input sentence to leaves of the grammar tree;
- for each leaf of the grammar tree that is matched with words marked as errors, finding a minimum syntactic subtree of the leaf and associating the leaf with said subtree;
- for all the subtrees found, combining leaves associated with a common subtree;
- for each common subtree, searching the syntactic error table for the common subtree;
- and
- updating the table to reflect the common subtree.
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