JORDAN KODNER

COMPUTATIONAL LINGUIST at STONY BROOK UNIVERSITY

email: jordan.kodner at-sign stonybrook edu
office: Dept. of Linguistics, Social & Behavioral Sciences (SBS) building, Floor 2

I am an assistant professor in the Stony Brook University Department of Linguistics, affiliated with the Institute for Advanced Computational Science, Department of Computer Science, Institute for AI-Driven Discovery and Innovation, and Natural Language Processing (NLP) group. My primary research revolves around computational approaches to child language acquisition and their broader implications. In particular,

I am writing a book titled Child Language Acquisition in the Past: A Mechanistic View of Language Change for Edinburgh University Press. It investigates the role that child language acquisition plays in language change. The broad goal is to build a general understanding of language change grounded in an understanding of its mechanisms. Enabled by algorithmic modeling and corpus methods, I draw insights from tradtiional historical linguistics, the cognitive science of language acquistion, and findings in variationist sociolinguistics.

My other academic interests, a few of which have intersected my research so far, include (alphabetically): Chinese language varieties, computing history, evolutionary theory, formal language theory, general NLP, human geography, Indo-European historical linguistics, Latin language, paleontology and cladistics, Roman history and culture, Semitic languages, Shona language, Singlish and Singaporean English, software engineering, and writing systems.

In 2020, I received my PhD (my dissertation) from the University of Pennsylvania Department of Linguistics, where I worked with Charles Yang and Mitch Marcus. I received a master's degree from the University of Pennsylania Department of Computer and Information Science in 2018. From 2013 through 2015, I was an Associate Scientist in the Speech, Language, and Multimedia group at Raytheon BBN Technologies where I worked on defense and medical-related projects. I interned with Amazon Alexa AI-Natural Language Understanding in summer 2020.


Fall 2024 INFORMATION

Current Courses

LIN 260: Language and Mind Monday/Wednesday 9:30-10:50am.

The official description:
An introduction to the study of the human mind, starting with modern scientific investigations of language, and then its relationship with other systems such as music perception, visual narrative, numerical cognition as well as comparison to animal cognition. What is innate and what does "innateness" mean? Do the brain mechanisms subserving language also support musical and numerical cognition? How is language related to thought and to action? Students will be exposed to research across several disciplines (linguistics, psychology, and cognitive neuroscience) and will acquire a basic understanding of modern experimental tools for investigating the human mind.

SBCs: SBS, SNW

LIN 537: Computational Linguistics I Monday/Wednesday 3:30-4:50am.

The official description:
A hands-on introduction to practical aspects of computational linguistics. Students learn how to perform common tasks such as tagging and tokenization with a state-of-the-art programming language. Topics include basic data structures and algorithms, n-gram models, regular expressions, and corpus linguistics.

Office Hours

JOURNAL ARTICLES AND BOOK CHAPTERS

CONFERENCE AND WORKSHOP PROCEEDINGS

Note: Proceedings published in the ACL conference and workshop anthologies (ACL, CMCL, ComputEL, EMNLP, GenBench, LChange, LREC, SCiL, SIGMORPHON, WANLP) are refereed and archival. CogSci proceedings are refereed but non-archival.

OTHER MANUSCRIPTS

SELECTED PRESENTATIONS

2025

2016


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Time capsule: Jordan Kodner on the Web (UPenn).

Regions I've been to in... Canada, Austria/Germany/Liech./Switz., Singapore, USA, World.

There is one other person who shares my name. He works for the University of South Carolina.

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