Showing posts with label morphology. Show all posts
Showing posts with label morphology. Show all posts

Monday, August 3, 2009

Nerbonne, Dokter and Smit (1998)

John Nerbonne, Duco Dokter and Petra Smit (1998): 'Morphological processing and computer-assisted language learning' (Computer Assisted Language Learning 11(5) pp. 543-559).

MOTIVATION: CALL systems do not generally make use of NLP technology - they limit themselves to putting self-study courses into electronic form, and hence use hand-coded/hard-wired linguistic knowledge. However, there are many CALL subtasks which should benefit from state-of-the-art (almost 'error-free') morphological or phonological processing, i.e. for use as 'support tools' in analysis of 'authentic materials', and acquisition of vocabulary.

SYSTEM DESCRIPTION: GLOSSER is a program which allows Dutch learners of French to import French texts, select individual words, and get information about these words. The main frame is a read-only text display for the source text. There are three minor frames giving information about the selected word: (a) dictionary definition (for the underlying lexeme) from the Van Dale French-Dutch dictionary; (b) (disambiguated) POS and morphological analysis; and (c) other example sentences using forms of the underlying lexeme (including some from bilingual corpora). Users can add NOTES to each selected word, to avoid multiple look-ups. The morphological analysis/POS disambiguation/lexeme identification is done using the state-of-the-art LOCOLEX software (from the Rank Xerox Research Centre).

There is a simple evaluation of the system (from the perspective of lexical coverage and accuracy). There was also a small user study with 22 students, comparing use of GLOSSER with traditional physical dictionary lookup in a traditional text comprehension task, with generally positive results.

COMMENT: The authors point out the problem of identifying 'multi-word lexemes' in source text as being worthy of future work. This is a big question. Integration with some kind of personal vocabulary database (flashcard generator?) would be a good idea. Can this idea be extended for spoken language files or videos?

The GLOSSER homepage.