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ACL
2009

A Stochastic Finite-State Morphological Parser for Turkish

10 years 9 months ago
A Stochastic Finite-State Morphological Parser for Turkish
This paper presents the first stochastic finite-state morphological parser for Turkish. The non-probabilistic parser is a standard finite-state transducer implementation of two-level morphology formalism. A disambiguated text corpus of 200 million words is used to stochastize the morphotactics transducer, then it is composed with the morphophonemics transducer to get a stochastic morphological parser. We present two applications to evaluate the effectiveness of the stochastic parser; spelling correction and morphology-based language modeling for speech recognition.
Hasim Sak, Tunga Güngör, Murat Saraclar
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Hasim Sak, Tunga Güngör, Murat Saraclar
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