I am a fourth-year PhD student in Computational Linguistics at the University of Washington.

My research focuses on human and artificial linguistic intelligence―that is, how humans and machines understand and produce language. I gravitate towards projects that creatively combine these areas, such as studying what "blackbox" models learn about language, building technology that is informed by linguistic insights, and drawing on natural language processing to address (psycho)linguistic research questions.

I am also a member of the UW Language Development & Processing Lab, led by Naja Ferjan Ramírez and founded by the late Akira Omaki, where I study child language acquisition.

Before embarking on a PhD, I earned a master's in Symbolic Systems at Stanford University, where I worked on computational phonology with Arto Anttila.

CV.pdf — Updated 22 January 2020
Natural language processing, psycholinguistics, morpho-syntax, phonology
Ph.D., Computational Linguistics, anticipated 2022
University of Washington

— Visiting Student Researcher, Autumn 2019
— Stanford University

M.S., Symbolic Systems, 2016
Stanford University

B.A., Linguistics and Communication with Honors, 2011
University of Washington
Anttila, A., Dozat, T., Galbraith, D., & Shapiro, N. T. To appear. Sentence stress in presidential speeches. In G. Kentner and J. Kremers (eds.), Prosody in Syntactic Encoding, special issue of Linguistische Arbeiten.

Anttila, A. & Shapiro, N. T. 2017. The interaction of stress and syllabification: Parallel or serial? Proceedings of the 34th West Coast Conference on Formal Linguistics (WCCFL), 52–61.

Shapiro, N. T. 2016. Splitting compounds with ngrams. Proceedings of the 26th International Conference on Computational Linguistics (COLING), 630–640.
Atkinson, E., Rigby, I., Shapiro, N. T., Woo, B., & Omaki, A. 2018. Syntactic adaptation effects do not transfer across tasks. CUNY Conference on Human Sentence Processing. University of California, Davis. 17 March 2018.

Shapiro, N. T. 2016. A language modeling and constraint-based approach to compound segmentation. Symbolic Systems Forum, Symbolic Systems Program, Stanford University. 23 May 2016.

Shapiro, N. T. 2016. Finnish compound segmentation. Phonetics and Phonology Workshop, Department of Linguistics, Stanford University. 8 April 2016.
research experience
Assistant to Naja Ferjan Ramírez, 01/2020 – Present
Language Development & Processing Lab, University of Washington
Analyzing longitudinal datasets to assess the impact of diverse learning environments and socio-economic factors on language outcomes in children.

Assistant to Akira Omaki, 09/2017 – 03/2018
Language Development & Processing Lab, University of Washington
Studied filler-gap dependences and syntactic adaptation in adults through eye-tracking experiments. Investigated how children process syntactic ambiguities using corpus analysis and the visual world eye-tracking paradigm.

Assistant to Arto Anttila, 01/2015 – 09/2015; 06/2016 – 12/2017
Department of Linguistics, Stanford University
Investigated Finnish and English phonotactics and metrical phonology via computational and information-theoretic approaches. Created the Python package FinnSyll ( ) for automatic syllabification and compound segmentation in Finnish. Designed and built websites for collecting annotations.
Lead Instructor for the Summer Immersion Program ( ) in Redmond, WA, Summer 2019
Girls Who Code, Inc.

TA for LING 200 Introduction to Linguistic Thought, Spring 2018
University of Washington. Instructor: Laura McGarrity.

TA for SYMSYS 100 Minds and Machines, Autumn 2015
Stanford University. Instructors: Daniel Lassiter and Thomas Icard.

TA for Python Web Development, Summer 2014
Code Fellows, LLC. Instructor: Cris Ewing.
Backend Engineer, 06/2014 – 12/2014; 02/2017 – 09/2017
Venyooz, Inc., Los Angeles, CA
Developed the prototype and backend of SchoolSpace, web-based software for school districts to manage facility rentals and increase income to public schools.

Production Engineer, 03/2012 – 03/2013
Wavii, Inc., Seattle, WA (acquired by Google in April 2013)
Managed the text and image content on the frontend of a news aggregator app. Annotated news snippets for genre, named entities, and predicate relations.
Eero and Helli Tetri Endowed Fund for Finnish Studies Scholarship
2019-2020 Academic Year

Foreign Language and Area Studies (FLAS) Fellowship – Modern Hebrew
2018-2019 Academic Year
Python, PyTorch, Keras, JavaScript, Ruby, HTML/CSS, Django, Flask, Node.js, Rails, PostgreSQL, Git
English (Native), Modern Hebrew (Intermediate), Japanese (Beginner-Intermediate)