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Inducing Sound Segment Differences Using Pair Hidden Markov Models.

, , and . SIGMORPHON, page 48-56. Association for Computational Linguistics, (2007)

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Analyzing the BBC Voices data: Contemporary English dialect areas and their characteristic lexical variants., , and . Lit. Linguistic Comput., 29 (1): 107-117 (2014)The Power of Character N-grams in Native Language Identification., , , , , , and . BEA@EMNLP, page 382-389. Association for Computational Linguistics, (2017)Inducing Sound Segment Differences Using Pair Hidden Markov Models., , and . SIGMORPHON, page 48-56. Association for Computational Linguistics, (2007)Bipartite spectral graph partitioning to co-cluster varieties and sound correspondences in dialectology., and . Graph-based Methods for Natural Language Processing, page 14-22. The Association for Computer Linguistics, (2009)Analyzing phonetic variation in the traditional English dialects: Simultaneously clustering dialects and phonetic features., , and . Lit. Linguistic Comput., 28 (1): 31-41 (2013)Synchronic patterns of Tuscan phonetic variation and diachronic change: Evidence from a dialectometric study., , , and . Lit. Linguistic Comput., 28 (1): 157-172 (2013)Inducing a measure of phonetic similarity from pronunciation variation., , and . J. Phonetics, 40 (2): 307-314 (2012)DUMB: A Benchmark for Smart Evaluation of Dutch Models., , and . CoRR, (2023)Multiple Sequence Alignments in Linguistics., , and . LaTeCH - SHELT&R@EACL, page 18-25. Association for Computational Linguistics, (2009)JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights., , , and . JURIX, volume 334 of Frontiers in Artificial Intelligence and Applications, page 277-280. IOS Press, (2020)