System and method for accurate grammar analysis using a part-of-speech tagged (POST) parser and learners' model
US6988063B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2002 |
| Grant date | Jan 17, 2006 |
| Priority date | — |
| Expiry date | Dec 14, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/253
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An accurate grammar analyzer that works effectively even with error-ridden sentences input by learners, based on a context-free probabilistic statistical POST (part-of-speech tagged) parser, for a template-automation-based computer-assisted language learning system. For any keyed-in sentence, the parser finds a closest correct sentence to the keyed-in sentence from among the embedded template paths exploiting a highest similarity value, and generates a grammar tree for the correct sentence where some ambiguous words are preassigned by expert language teachers. The system marks the errors under the leaves of the grammar tree by identifying the differences between the keyed-in sentence and the grammar tree of the correct sentence as errors committed by learners. By identifying most frequently recurring grammatical errors of each student, the system sets up a learner's model, providing a unique level of contingent remediation most appropriate to each learner involved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.