Algorithmic models of grammar acquisition,
especially morphology
How those processes drive language variation and
change
What insights they provide for low-resource
NLP
What they can tell us about the the intersection of (low-resource) NLP and
cognitive science
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 traditional
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.
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.
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
Special LIN 260 Office
Hours: Wednesday 11:00am-12:00pm
General Office
Hours: Tuesday 10:00-11:30am, Thursday 01:00-2:30pm
Jordan
Kodner. (2023). Laissez-Faire
Analogical Change. Journal of Historical
Syntax. 7(6-19). Proceedings of the 22nd Diachronic
Generative Syntax (DiGS)
Conference.
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.
Jordan Kodner, Sarah Payne, Salam
Khalifa, Zoey
Liu. (2023). Morphological
Inflection: A Reality Check. In Proceedings of the
61st Annual Meeting of the Association for Computational
Linguistics (ACL), pages 6082-6101.
Salam Khalifa, Jordan Kodner, Owen
Rambow. (2022). Learning
Arabic Morphophonology. In Proceedings of the Seventh
Arabic Natural Language Processing Workshop (WANLP),
pages 295-301.
Jordan Kodner and Emmett Davitian. ""Irregulars" in the Italian Past Participles." LSA 2025. Philadelphia.
Jordan Kodner and Sarah Payne. "Formally defining the learning
setting for child language acquisition." Computational Models
of Learnability and Acquisition of Morphology and Phonology
special session at LSA 2025. Philadelphia.
2024
(invited). Jordan Kodner. "Child Language Acquisition and a
Mechanistic View of Language Change." CUNY Graduate Center Linguistics Colloquium. New York.
(keynote). Jordan Kodner. "Child Language Acquisition and a
Mechanistic View of Language Change." The 25th Conference on
Dichronic Generative Syntax Conference. Mannheim,
Germany. (slides)
(invited). Jordan Kodner. "Is it Language or Task Design?
Reinterpreting language models' recent successes in morphology
and syntax learning." OFAI Lecture Series. Austrian Research
Institute for Artificial Intelligence (OFAI).
(invited). Jordan Kodner. "The Language or the Task Design?
Re-Evaluating Morphological Inflection Tasks." Computational
Linguistics Colloquium Series. University of
Toronto. (slides)
(invited). Jordan Kodner. "'Elsewhere Reversal' in Tehrani
Armenian: A Case of Language Acquisition-Driven Language
Change." Lectures on Iranian Linguistics in Arizona
(LILA). University of Arizona.
2023
Jordan Kodner, Salam Khalifa, Sarah Payne. "Exploring
Linguistic Probes for Morphological
Generalization." EMNLP
2023. Singapore. (slides)
Héctor J. Vázquez Martínez, Annika Heuser, Charles Yang,
Jordan Kodner. "Evaluating Neural Language Models as Cognitive
Models of Language
Acquisition." GenBench
Workshop. Singapore. (slides)
(invited). "Language Acquisition and a Process-Centered View
of Language Change." National University of Singapore.
(invited). "Modeling Language Change from the Population's
Perspective". SYNC Conference 2023. Stony Brook
University. Stony Brook, NY. (slides)
(invited). "Language Acquisition and a Process-Centered View
of Language Change." Harvard Indo-European Workshop and
Linguistics Colloquium Series. Cambridge,
MA. (slides)
Jordan Kodner. "Modeling the Relationship between Input
Distributions and Learning Trajectories with the Tolerance
Principle." CMCL
2022, Dublin. (poster)
(invited) "The Latin Past Participles: What acquisition and
diachrony tell us about morphological theory." Feast and
Famine Workshop, University of Sheffield, Sheffield, UK.
Jordan Kodner. "Laissez-Faire Analogical Change."
DiGS 22.
{Jordan Kodner, Spencer Caplan}, & Charles Yang. "Apparent
Communicative Efficiency in the Lexicon is
Emergent." SCiL
2021 and CMU (invited).
2020
(invited with Spencer Caplan) "Miller's Monkey
Updated: Communicative Efficiency and the Statistics of Words
in Natural Language." University of Pennsylvania.
Jordan Kodner & Nitish Gupta. "Overestimation of Syntactic
Representation in Neural Language
Models" ACL 2020, Seattle.
Hongzhi Xu, Jordan Kodner, Mitchell Marcus, & Charles
Yang. Modeling Morphological Typology for Unsupervised
Learning of Language
Morphology. ACL 2020,
Seattle.
Jordan Kodner. "Language Acquisition Guiding Theory and
Diachrony: A Case Study from Latin
Morphology." GLOW
43, Berlin and NYU
(invited). (slides)
Jordan Kodner. "Acquiring the Latin Past Participles:
Synchronic and Diachronic
Implications." LSA
2020, New Orleans
and TLS
2020, Austin, TX. (slides)
2019
(invited). "Language Change as Learners' Response to
'Monolingual' Variation." National University of Singapore.
Sun Jae Lee & Jordan Kodner. "Acquiring the Korean
Causatives." AIMM
4, Stony Brook, NY
and CLS55,
Chicago. (slides)
Hongzhi Xu, Jordan Kodner, Mitchell Marcus, & Charles
Yang. "Unsupervised Learning of Language Morphology by
Exploring Language
Typology" AIMM
4, Stony Brook, NY.
{Jordan Kodner & Caitlin Richter}. "Emergence of Partial
/aɪ/-Raising through Child Language Acquisition in a Mixed
Input
Setting." LSA
2019, New York. (poster)
Jordan Kodner. "Investigating Acquisition in Unattested Dead
Languages." LSA
2019, New York. (slides)
2018
(invited). "A Learners' Perspective on the History of the
English Dative Constructions." University of Mannheim and
University of Konstanz (slides)
Shyam Upadhyay, Jordan Kodner & Dan Roth. "Bootstrapping
Transliteration with Guided Discovery for Low-Resource
Languages." EMNLP 2018,
Brussels. (poster)
Jordan Kodner & Caitlin Richter. "Partial /aɪ/-Raising as a
Contact Phenomenon." NWAV
47, New York. (slides)
Spencer Caplan & Jordan Kodner. "The Acquisition of Vowel
Harmony from Simple Local
Statistics." CogSci
2018, Madison, WI. (poster)
Jordan Kodner & Christopher M Cerezo Falco. "A Framework for
Representing Language Acquisition in a Population
Setting." ACL 2018,
Melbourne. (slides)
Jordan Kodner. "Analogical Change as Rule Learning Gone Wrong:
The Lengthened *ē-Grade in Proto-Germanic
Strong
Verbs." Berkeley
Germanic Linguistics Roundtable, Berkeley, CA
and GLAC 24,
State College, PA. (slides)
Jordan Kodner. "Part-of-Speech Learning as Iterative
Prototype-Driven
Clustering." SCiL
2018, Salt Lake
City. (slides)
2017
Jordan Kodner. "Modeling Population Structure and Language
Change in the St. Louis
Corridor." NWAV
46, Madison, WI. (slides)
Jordan Kodner. "Modeling Representational Constraints in Word
Segmentation." BUCLD
42, Boston. (poster)
Jordan Kodner & Charles Yang. "The Acquisition and Actuation
of the English Dative
Constructions." LAGB
2017, Kent, UK.
Jordan Kodner & Christopher M. Cerezo Falco. "Principled
assessment of population structure in models of language
change." DiGS
2017, Stellenbosch, WC, South
Africa. (slides)
Jordan Kodner. "A Learners’ Perspective on the Rise of the
English Dative
Alternation." DiGS
2017, Stellenbosch, WC, South
Africa. (slides)
Spencer Caplan & Jordan Kodner. "Vowel Harmony as a
Distributional Learning
Problem." CogSci
2017,
London. (poster)
Jordan Kodner. "The Importance of Population Structure in Models
of Language
Change." FWAV
4, York, UK. (slides
| source
code)
Jordan Kodner. "Shona Subjects are
Subjects." ACAL48,
Bloomington, IN, and
PLC41,
Philadelphia. (poster)
Jordan Kodner, Spencer Caplan, Hongzhi Xu, Mitch Marcus, &
Charles Yang. "Case Studies in the Automatic Characterization
of Grammars from Small
Wordlists." ComputEL-2,
Honolulu. (source
code | poster)
2016
{Jordan Kodner & Spencer Caplan.} "A Computational Model of
Vowel Harmony
Acquisition." NECPhon10,
Amherst,
MA. (slides)