The SLAY Database: A Meta-Analytic Database of Sign Language Grammars
Tatman, R. (2014). The SLAY Database: A Meta-Analytic Database of Sign Language Grammars. Workshop on Databases and Corpora in Linguistics.
Tatman, R. (2014). The SLAY Database: A Meta-Analytic Database of Sign Language Grammars. Workshop on Databases and Corpora in Linguistics.
Tatman, R. (2015). The Sign Language Analyses (SLAY) Database. University of Washington Working Papers in Linguistics.
Tatman, R. (2015). The cross-linguistic distribution of sign language parameters. Proceedings of theForty-first Annual Meeting of The Berkeley Linguistics Society. 41,
Tatman, R. (2015). The cross-linguistic distribution of sign language parameters. Berkeley Linguistics Society.
Souza, P., Wright R., Blackburn M., Tatman R.., & Gallun F.. (2015). Individual sensitivity to spectral and temporal cues in listeners with hearing impairment. Journal of Speech, Language, and Hearing Research.
Tatman, R. (2015). #go awn: Sociophonetic Variation in Variant Spellings on Twitter. Working Papers of the Linguistics Circle of the University of Victoria . 25(2),
Tatman, R. (2015). go awn: Sociophonetic Variation in Variant Spellings on Twitter. Northwest Linguistic Conference.
Tatman, R. (2015). Hand Choice Lateralization as Phonologization of Sign Language Pronouns. Workshop on Computational Phonology & Morphology .
Tatman, R. (2015). The State of the Stats: Current Use of Statistical Methods Across Linguistics Subfields. Linguistics Summer Institute.
Tatman, R. (2015). Comparing the Use of Sociophonetic Variables in Speech and Twitter. New Ways of Analyzing Variation (NWAV) 44.
Tatman, R.. (2016). "I'm a spawts guay": Comparing the Use of Sociophonetic Variables in Speech andTwitter. Selected Papers from NWAV 44.
Tatman, R. (2016). #PronouncingThingsIncorrectly: Initial phonological generalizations of a novel Internet wordgame. NorthWest Phonetics & Phonology Conference.
Tatman, R. (2016). Speaker Dialect is a Necessary Feature to Model Perceptual Accent Adaptation in Humans. 4th Pacific Northwest Regional NLP Workshop: NW-NLP 2016.
Conrod, K., Tatman R., & Koncel-Kedziorski R. (2016). We Who Tweet: Pronominal Relative Clauses on Twitter. Corpus Linguistics Fest 2016.
Tatman, R. (2016). Listening with American Ears: Using Social Information in Perceptual Learning. 3rd Conference on Experimental Approaches to Perception and Production of Language Variation.
Tatman, R.. (2017). Gender and Dialect Bias in YouTube's Automatic Captions . Ethics in Natural Language Processing.
Tatman, R.. (2017). "Oh, I've Heard That Before": Modelling Own-Dialect Bias After Perceptual Learning by Weighting Training Data. Workshop on Cognitive Modeling and Computational Linguistics.
Tatman, R., & Paullada A. (2017). Social Identity and Punctuation Variation in the #BlueLivesMatter and #BlackLivesMatter Twitter Communities. 33rd Northwest Linguistics Conference.
Tatman, R. (2017). "He maybe did" or "He may be dead": The use of acoustic and social cues in applying perceptual learning of a new dialect. 173rd Meeting of the Acoustical Society of America.
Tatman, R. (2017). #MAGA or #TheResistance: Classifying Twitter users' political affiliation without looking at their words or friends. Women and Underrepresented Minorities in Natural Language Processing .
Tatman, R., Stewart L., Paullada A., & Spiro E. (2017). Non-lexical Features Encode Political Affiliation on Twitter. Workshop on Natural Language Processing and Computational Social Science at ACL.
Tatman, R., VanderPhttp://www.rctatman.com/files/2018-7-14-MLReproducability.pdflas, J., & Dane, S. (2018). A Practical Taxonomy of Reproducibility for Machine Learning Research. Reproducibility in Machine Learning Workshop at ICML 2018.
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