Paper: A Stochastic Finite-State Morphological Parser for Turkish

ACL ID P09-2069
Title A Stochastic Finite-State Morphological Parser for Turkish
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

This paper presents the first stochastic finite-state morphological parser for Turk- ish. The non-probabilistic parser is a standard finite-state transducer implemen- tation of two-level morphology formal- ism. A disambiguated text corpus of 200 million words is used to stochas- tize the morphotactics transducer, then it is composed with the morphophonemics transducer to get a stochastic morpho- logical parser. We present two applica- tions to evaluate the effectiveness of the stochastic parser; spelling correction and morphology-based language modeling for speech recognition.