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Idiom Variation: Experimental Data and a Blueprint of a Computational Model.

, , and . topiCS, 9 (3): 653-669 (2017)

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Using generalized additive models and random forests to model prosodic prominence in German., , and . INTERSPEECH, page 272-276. ISCA, (2013)New Machine Learning Methods Demonstrate the Existence of a Human Stylome., , , , and . Journal of Quantitative Linguistics, 12 (1): 65-77 (2005)Morphological productivity (Morphologische Produktivität).. Quantitative Linguistik / Quantitative Linguistics, DeGruyter, (2005)Idiom Variation: Experimental Data and a Blueprint of a Computational Model., , and . topiCS, 9 (3): 653-669 (2017)Understanding Idiomatic Variation., , and . MWE@EACL, page 80-90. Association for Computational Linguistics, (2017)Investigating dialectal differences using articulography., , , , , , , and . J. Phonetics, (2016)Sample-Size Invariance of LNRE Model Parameters: Problems and Opportunities., and . Journal of Quantitative Linguistics, 5 (3): 145-154 (1998)The 'universal' structure of name grammars and the impact of social engineering on the evolution of natural information systems., , , , , , and . CogSci, cognitivesciencesociety.org, (2013)The Myth of Cognitive Decline., , and . CogSci, cognitivesciencesociety.org, (2013)Wide Learning for Auditory Comprehension., and . INTERSPEECH, page 966-970. ISCA, (2018)