My other academic interests include (alphabetically): formal language theory, Indo-European historical linguistics, Latin language, general NLP, paleontology and cladistics, Roman history and culture, Shona language, Singlish/Singaporean English, software engineering, and writing systems.
I received a master's degree from the 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. I will intern with Amazon Alexa AI-Natural Language Understanding in summer 2020.
{Spencer Caplan, Jordan Kodner}, and Charles Yang. (under revision). Miller's Monkey Updated: Communicative Efficiency and the Statistics of Words in Natural Language. (manuscript)
Contact for 2016-2019 DARPA LORELEI presentation materials
2020
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)
In summer 2017, I advised computer and cognitive science undergraduate Deniz Beser on his project "Part of Speech Tagging for Low-Resource Languages." He won first place in the CIS department's Undergraduate Summer UnPoster Competition.
Beginning in fall 2017 I worked with computer and cognitive science undergraduate Sun Jae Jasmine Lee on a project seeking to relate observed causative errors in Korean child speech to their linguistic input via the Tolerance Principle. She presented the project at CLS55 in May 2019.
