Using longest common subsequence and character models to predict word forms

Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016

Volumn , Issue , 2016, Pages 54-61

  Sorokin, Alexey ^a,b  

^a MOSCOW STATE UNIVERSITY   (Russian Federation)

^b MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER MODELS; FEATURE-BASED; LONGEST COMMON SUBSEQUENCES; N-GRAM MODELING; N-GRAM MODELS; NON-LOCAL PHENOMENA; PERFORMANCE; SUBTASK;

EID: 85058699011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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