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Published in Workshop on Databases and Corpora in Linguistics, 2014
Recommended citation: Tatman, R. (2014). The SLAY Database: A Meta-Analytic Database of Sign Language Grammars. Workshop on Databases and Corpora in Linguistics. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2014_SLAYDatabase_Presentation.pdf
Published in University of Washington Working Papers in Linguistics, 2015
Recommended citation: Tatman, R. (2015). The Sign Language Analyses (SLAY) Database. University of Washington Working Papers in Linguistics. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_SLAYDatabase.pdf
Published in Proceedings of theForty-first Annual Meeting of The Berkeley Linguistics Society, 2015
Recommended citation: Tatman, R. (2015). The cross-linguistic distribution of sign language parameters. Proceedings of theForty-first Annual Meeting of The Berkeley Linguistics Society. 41, https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_CrosslinguisticDistributionOfParameters.pdf
Published in Berkeley Linguistics Society, 2015
Recommended citation: Tatman, R. (2015). The cross-linguistic distribution of sign language parameters. Berkeley Linguistics Society. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_CrosslinguisticDistributionOfParameters_Presentation.pdf
Published in Journal of Speech, Language, and Hearing Research, 2015
Recommended citation: 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. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_IndividualSensitivity.pdf
Published in Working Papers of the Linguistics Circle of the University of Victoria, 2015
Recommended citation: 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), https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_GoAwn.pdf
Published in Northwest Linguistic Conference, 2015
Recommended citation: Tatman, R. (2015). go awn: Sociophonetic Variation in Variant Spellings on Twitter. Northwest Linguistic Conference. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_GoAwn_Presentation.pdf
Published in Workshop on Computational Phonology \& Morphology, 2015
Recommended citation: Tatman, R. (2015). Hand Choice Lateralization as Phonologization of Sign Language Pronouns. Workshop on Computational Phonology & Morphology . https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_HandChoiceLateralization.pdf
Published in Linguistics Summer Institute, 2015
Recommended citation: Tatman, R. (2015). The State of the Stats: Current Use of Statistical Methods Across Linguistics Subfields. Linguistics Summer Institute. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_StateOfTheStats.pdf
Published in New Ways of Analyzing Variation (NWAV) 44, 2015
Recommended citation: Tatman, R. (2015). Comparing the Use of Sociophonetic Variables in Speech and Twitter. New Ways of Analyzing Variation (NWAV) 44. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_ComparingSpeechAndTwitter.pdf
Published in Selected Papers from NWAV 44, 2016
Recommended citation: Tatman, R.. (2016). "I'm a spawts guay": Comparing the Use of Sociophonetic Variables in Speech andTwitter. Selected Papers from NWAV 44. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2016_ImASpawtsGuay.pdf
Published in NorthWest Phonetics \& Phonology Conference, 2016
Recommended citation: Tatman, R. (2016). #PronouncingThingsIncorrectly: Initial phonological generalizations of a novel Internet wordgame. NorthWest Phonetics & Phonology Conference. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2016_PronouncingThingsIncorrectly.pdf
Published in 4th Pacific Northwest Regional NLP Workshop: NW-NLP 2016, 2016
Recommended citation: 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. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2016_SpeakerDialectNecessary.pdf
Published in Corpus Linguistics Fest 2016, 2016
Recommended citation: Conrod, K., Tatman R., & Koncel-Kedziorski R. (2016). We Who Tweet: Pronominal Relative Clauses on Twitter. Corpus Linguistics Fest 2016. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2016_WeWhoTweet.pdf
Published in 3rd Conference on Experimental Approaches to Perception and Production of Language Variation, 2016
Recommended citation: 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. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2016_ListeningWithAmericanEars.pdf
Published in Ethics in Natural Language Processing, 2017
Recommended citation: Tatman, R.. (2017). Gender and Dialect Bias in YouTube's Automatic Captions . Ethics in Natural Language Processing. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_GenderAndDialectBias.pdf
Oh, I’ve Heard That Before: Modelling Own-Dialect Bias After Perceptual Learning by Weighting Training Data
Published in Workshop on Cognitive Modeling and Computational Linguistics, 2017
Recommended citation: 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. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_HeardThatBefore.pdf
Social Identity and Punctuation Variation in the #BlueLivesMatter and #BlackLivesMatter Twitter Communities
Published in 33rd Northwest Linguistics Conference, 2017
Recommended citation: Tatman, R., & Paullada A. (2017). Social Identity and Punctuation Variation in the #BlueLivesMatter and #BlackLivesMatter Twitter Communities. 33rd Northwest Linguistics Conference. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_SocialIdentityAndPunctuation.pdf
‘He maybe did’ or ‘He may be dead’? The use of acoustic and social cues in applying perceptual learning of a new dialect
Published in 173rd Meeting of the Acoustical Society of America, 2017
Recommended citation: 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. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_HeMaybeDid.pdf
#MAGA or #TheResistance: Classifying Twitter users’ political affiliation without looking at their words or friends
Published in Women and Underrepresented Minorities in Natural Language Processing, 2017
Recommended citation: 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 . https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_MAGAorTheResistance.pdf
Published in Workshop on Natural Language Processing and Computational Social Science at ACL, 2017
Recommended citation: 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. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_NonlexicalFeatures.pdf
Published in Reproducibility in Machine Learning Workshop at ICML 2018, 2018
Recommended citation: 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. http://www.rctatman.com/files/2018-7-14-MLReproducability.pdf
This talks covers the basics of sociolinguisitics and discusses why it’s important to considering linguistic variation when designing NLP applications.
This workshop was both an introduction to Kaggle and a beginner-friendly workshop on XGBoost algorithm. You’ll need to provide some info to watch the video, but the same content is covered in the code.
Why does your text output have all those black boxes in it? Why can’t it handle Portuguese? The answer is most likely “character encoding”. This talk will cover some of the common character encoding gotchas and cover some defensive programming practices to help your code handle multiple encodings.
In this talk, I cover some of the frameworks used to think about fairness in machine learning. Then I turn to more practical matters of determining which social factors are important in machine leaning, how to find appropriate validation data, and considerations when selecting metrics. Finally, I walk through a sample socially-stratified validation pipeline.
Working with data is a kind of interview - it is a complex back-and-forth, drawing out the expressiveness of data. The process is often visual, depending heavily on a sequence of graphical displays, “visualizations.” This three-hour workshop will focus on the concepts and skills you need to use data visualization effectively as part of your reporting practice - to conduct a data interview. You will learn how to spot trends, highlight changes over time, identify outliers, make meaningful comparisons, and describe important patterns in your data - all through the effective use of visualization strategies. This class will be based in the R language and distributed through Jupyter notebooks. These pre-built examples can later be customized to suit your own projects when you return to your newsroom.
Lightening talks are quick talks, usually under 5 minutes. The short format makes the great for first time speakers! This is a very meta lightening talk on how to give a lightening talk, and covers how to develop your talk, practice it and some of my best public-speaking tips.
Information for my talk, “What you can, can’t and shouldn’t do with social media data” given at the 2018 Joint Statistical Meetings.
Reproducibility in machine learning means you can run the same code on the same data and get the same results. While this may seem relatively straightforward, there are plenty of potential pitfalls. In this talk, we’ll discuss a scale for evaluating the reproduciblity of a machine learning project and how to make sure that your own work is easy to reproduce. While this talk is focused on researchers (it’s based on a paper I presented at an ICML workshop), the tips and tricks should apply to anyone who does exploratory data analysis or machine learning generally.
In this workshop, we’ll take an existing research project and make it fully reproducible using Kaggle Kernels. This workshop will include hands-on instruction and best practices for each of the three components necessary for completely reproducible research.
The gradual release of responsibility instructional model (also known as the I do, We do, You do model) is a pedagogical technique developed by Pearson & Gallagher where students engage with material more independently over time. In this workshop, participants will learn how to apply the I do, We do, You do framework to teaching with Jupyter notebooks. Over the course of the workshop, participants will complete a series of exercises designed to help them use Jupyter notebooks more effectively support active learning in the classroom.
This talk describes how to put together a data science portfolio that will help you stand out, different kinds of data science jobs and how to tailor your application to shine as a candidate.
The combination of power, flexibility and clearly interpretable models make it a very powerful technique. I’ll introduce you to the method (no stats background required!), show you how to apply it to your own datasets and walk you through some tricks for clearly visualizing the output.
In this talk for the Computational Sociolinguistics workshop, I discuss how to balance three core ideals when collecting data and publishing research.
You may, in fact, need more than attention. This paper is a comparison of the ability of recurrent and non-recurrent (i.e. transformer) neural network structures, focusing on their ability to model hierarchical relationships in natural language. The authors found that for both subject-object agreement and logical entailment, RNN’s outperformed transformers. While there is limited theoretical support for these findings, the empirical results are compelling.que developed by Pearson & Gallagher where students engage with material more independently over time. In this workshop, participants will learn how to apply the I do, We do, You do framework to teaching with Jupyter notebooks. Over the course of the workshop, participants will complete a series of exercises designed to help them use Jupyter notebooks more effectively support active learning in the classroom.
This talk covers the basics of R’s data structures, as well as two data structures that aren’t included in Base R: linked lists and hashtables.
If you’re sharing your data, you probably want people to actually use it. This talk lays out some concrete strategies you can apply to help interested folks find and use your public data.
The deep learning hype is real, and the Python ecosystem makes it easier than ever to neural networks to everything from speech recognition to generating memes. But when picking a model architecture to apply to your work, you should consider more than just state of the art results from NeurIPS. The amount of time, money and data available to you are equally, if not more, important. This talk will cover some alternatives to deep learning, including regression, tree-based methods and distance based methods. More importantly, it will include a frank discussion of the pros and cons of different methods and when it makes sense to use each in practice.
All language data, whether text, speech or sign, reflects the social identity of the user and the environment they were in when they produced that language. This systematic social variation in language has been studied in linguistics for decades, but is increasingly important as we build and deploy tools that rely on automatic analysis. Failure to account for sociolinguistic variation can reduce overall system performance or, more worryingly, result in systems that are systematically biased against certain classes of users.
In this talk, I spent five minutes over-explaining the joke where NLP algorithms are named after Sesame Street characters.
In this talk, I outline the techniques I considered for an unsupervised clustering/topic modelling project to summarize Kaggle forum posts.
Handouts, Phonetics Lab, 2012
This is a very clear tutorial to creating a basic text-based experiment in PscyhoPy using the builder. Includes pictures of the interface and very simple, easy-to-follow directions. Designed for someone who has never used PsychoPy before.
Slides, Phonetics Lab, 2013
This is a basic introduction to Bayesian Statistics for Linguists, which covers the fundamental differences between Bayesian and Frequentist statistics, a very shallow introduction to the Bayes theorem and some additional resources.
Posters & Activicties, Pacific Science Center, 2014
These materials were developed for Paws on Science; an annual event put on by the Pacific Science Center to help UW scientists connect with the public. They were designed with an elementary-school audience in mind.
Handouts, TA/RA Conference on Teaching, Learning and Research, 2014
Handouts prepared for the annual TA/RA Conference on Teaching, Learning and Research at the University of Washington on incorporating active learning strategies in the classroom and presenting research. Geared towards graduate students in their first few years.
Handout, Invited talk, 2015
This handout has some tips and tricks, as well as three exercises designed to help you kickstart or improve your application. It was made for Edith Aldridge’s Fall 2015 funding proseminar.
Handouts, Invited talk, 2015
Handout with activities to help begin project-based application (e.g. most grants).
Slides, Sociolinguistics Lab, 2016
Slides from a talk given at a sociolinguistics lab meeting on relational databases. Includes information on software for making relational databases and ideas for distributing them.