Naomi
Tachikawa
Shapiro

Hello! My name is Naomi and I am a Ph.D. student in Computational Linguistics at the University of Washington. Prior to joining the Ph.D. program, I received an M.S. in Symbolic Systems from Stanford University.

Within formal linguistics, I am drawn to phonology and syntax. I am also interested in psycholinguistics, particularly with respect to sentence processing and language as it relates to other cognitive capacities.

On the computational side, my research interests lie at the intersection of natural and artificial linguistic intelligence. I enjoy projects that creatively combine these areas—namely, language technology that is informed by linguistic insights and machine learning systems that shed light on language.

Email:  

interests
Computational linguistics, language and cognition, phonology, syntax
education
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
papers
Shapiro, Naomi Tachikawa, Joshua Falk, Kati Kiiskinen, and Arto Anttila. Forthcoming. FinnSyll: A Finnish syllabifier. Technical report. [Python package: https://github.com/tsnaomi/finnsyll.]

Anttila, Arto, Timothy Dozat, Daniel Galbraith, and Naomi Tachikawa Shapiro. Submitted/2018. Sentence stress in presidential speeches.

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.
talks
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.
awards
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 filler-gap dependencies and child processing of garden path sentences in the Language Development and 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.
industry
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.
service
Reviewer, International Conference on Computational Linguistics (COLING), 2018
languages
Native
English

Intermediate
Japanese, Modern Hebrew
coding
Languages
Python, JavaScript, Ruby, HTML/CSS

Frameworks
Django, Flask, Rails, Node.js, Bootstrap

Databases
PostgreSQL, MongoDB

Markup
LaTeX, Markdown