Guessing lexicon entries using finite-state methods

Autor: Koskenniemi, Kimmo Matti
Přispěvatelé: Pirinen, Tommi, Rießler, Michael, Rueter, Jack, Trosterud, Trond, Tyers, Francis M., Department of Modern Languages 2010-2017, Language Technology
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Popis: A practical method for interactive guessing of LEXC lexicon entries is presented. The method is based on describing groups of similarly inflected words using regular expressions. The patterns are compiled into a finite-state transducer (FST) which maps any word form into the possible LEXC lexicon entries which could generate it. The same FST can be used (1) for converting conventional headword lists into LEXC entries, (2) for interactive guessing of entries, (3) for corpus-assisted interactive guessing and (4) guessing entries from corpora. A method of representing affixes as a table is presented as well how the tables can be converted into LEXC format for several different purposes including morphological analysis and entry guessing. The method has been implemented using the HFST finite-state transducer tools and its Python embedding plus a number of small Python scripts for conversions. The method is tested with a near complete implementation of Finnish verbs. An experiment of generating Finnish verb entries out of corpus data is also described as well as a creation of a full-scale analyzer for Finnish verbs using the conversion patterns.
Databáze: OpenAIRE