I am a second-year PhD student in Computational Linguistics at the University of Washington. My research focuses on natural and artificial linguistic intelligence ― that is, how humans and machines understand and produce language. I enjoy projects that creatively combine these areas, namely, technology that is informed by psycholinguistic insights and machine learning models of language.

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

Today, I am a member of the UW Language Development & Processing Lab, founded by the late Akira Omaki. We are committed to continuing Akira's research on filler-gap dependencies and sentence processing.

CV.pdf — Updated 18 January 2019
Computational linguistics, ML/NLP, language and cognition, phonology, syntax
Ph.D., Computational Linguistics, in progress
University of Washington, Seattle

M.S., Symbolic Systems, 2016
Stanford University
Thesis: A language modeling and constraint-based approach to compound segmentation

B.A., Linguistics and Communication with Honors, 2011
University of Washington, Seattle
Thesis: Language in cognitive economy
Anttila, Arto, Timothy Dozat, Daniel Galbraith, and Naomi Tachikawa Shapiro. To appear. Sentence stress in presidential speeches. In Gerrit Kentner and Joost Kremers (eds.), Prosody in Syntactic Encoding, special issue of Linguistische Arbeiten.

Anttila, Arto and Naomi Tachikawa Shapiro. 2017. The interaction of stress and syllabification: Parallel or serial? Proceedings of the 34th West Coast Conference on Formal Linguistics (WCCFL 34), Salt Lake City, UT, 52–61.

Shapiro, Naomi Tachikawa. 2016. Splitting compounds with ngrams. Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016): Technical papers, Osaka, Japan, 630–640.
Atkinson, Emily, Ian Rigby, Naomi Tachikawa Shapiro, Brent Woo, and Akira Omaki. 2018. Syntactic adaptation effects do no transfer across tasks. CUNY Conference on Human Sentence Processing. University of California, Davis. 17 March 2018.

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

Shapiro, Naomi Tachikawa. 2016. Finnish compound segmentation. Phonetics and Phonology Workshop, Department of Linguistics, Stanford University. 8 April 2016.
Foreign Language and Area Studies (FLAS) Fellowship – Modern Hebrew
2018-2019 Academic Year ($33,000)
research assistantships
Assistant to Akira Omaki, September 2017 – March 2018
University of Washington
Researched syntactic adaptation, filler-gap dependencies, and structural ambiguity in the Language Development & Processing Lab ( ). Methods included eye tracking and corpus analysis.

Assistant to Arto Anttila, January 2015 – September 2015; June 2016 – December 2017
Stanford University
Researched Finnish and English phonotactics and metrical phonology via computational methods. Built and maintained web tools for annotation and research.
teaching assistantships
LING 200 Introduction to Linguistic Thought, Spring Quarter 2018
University of Washington. Instructor: Laura McGarrity.

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

Python bootcamp, June 2014 – July 2014
Code Fellows, LLC. Instructor: Cris Ewing.
Backend Engineer, June 2014 – December 2014; February 2017 – September 2017
Venyooz, Inc., Los Angeles, CA
Developed the backend of SchoolSpace, web-based software for school districts to manage facility rentals and event calendaring.

Production Engineer, March 2012 – March 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. Edited tech-generated news snippets and annotated parts of speech in corpus data.
Reviewer, International Conference on Computational Linguistics (COLING), 2018

Japanese, Modern Hebrew
Python, JavaScript, Ruby, HTML/CSS

Frameworks and databases
Django, Flask, Rails, Node.js, Bootstrap, PostgreSQL

LaTeX, Markdown
in progress
  • NEW: Researching deep learning methods for morphological analysis of Modern Hebrew.
  • Investigating child processing of verb complement ambiguity in English. In collaboration with Akira Omaki, Aaron Apple, and Ian Rigby. Methods include eye tracking and corpus analysis.
  • Exploring the interaction of stress and syllabification in Finnish. In collaboration with Arto Anttila. Methods include corpus analysis of Finnish verse. Preliminary results reported in Anttila and Shapiro (2017).
  • Developing FinnSyll, a rule-based Finnish syllabifier. In collaboration with Arto Anttila, Joshua Falk, and Kati Kiiskinen. Technical report forthcoming. Python package and source code available on PyPI and GitHub, respectively.
  • Developing MetricGold, a web interface to collect metrical annotations for research on sentential prosody. In collaboration with Arto Anttila. Source code available on GitHub. Used to collect data for Anttila, Dozat, Galbraith, and Shapiro (to appear).