THE REUSE OF DICTIONARIES IN INFILLING NEW ONES

Vitaly V. Smirnov
Moscow State Engineering Physics Institute (Tech. University),
115409 Moscow, Kashirskoe Shosse, 31, MEPhI,
Vitaly_Smirnov@mail.ru

This report observes the experience of automation of lexicon extraction from texts to infilling new dictionaries, using a base lexicon dictionary, statistics of words appearance and compatibility. New dictionaries are formed and used by specific linguistic processor (LP), the main function of which is natural language (NL) phrase transmission to the predicate-argument structures in CAREL language. LP is used in AT-TECHNOLOGY workbench to solve a number of problems connected with NL processing and in NEVOD system to given attribute values detection in criminal case documents and to find documents in data base.
New words morphological characteristics are determined by means of comparison with the table of  quasi-inflection. At the beginning of the comparison the longest quasi-inflection are used and the shortest ones are used in the end which is provided by indexing of quasi-inflection.
One of  the problems solved by means of LP in AT-TECHNOLOGY complex is the new lexicon extraction from expert answers, received by interview. While the lexicon extraction semantic categories of new words are determined by comparison with semantic categories of the words in the dictionary and predicate control models are corrected. To supplement LP dictionaries in NEVOD system by new predicates forming control models algorithm using the semantic classifier is developed.