Andrew Lamont


Optimizing over subsequences generates context-sensitive languages
Andrew Lamont
Transactions of the Association for Computational Linguistics, Volume 9

Abstract Phonological generalizations are finite-state. While Optimality Theory is a popular framework for modeling phonology, it is known to generate non-finite-state mappings and languages. This paper demonstrates that Optimality Theory is capable of generating non-context-free languages, contributing to the characterization of its generative capacity. This is achieved with minimal modification to the theory as it is standardly employed.


Learning Exceptionality and Variation with Lexically Scaled MaxEnt
Coral Hughto | Andrew Lamont | Brandon Prickett | Gaja Jarosz
Proceedings of the Society for Computation in Linguistics (SCiL) 2019

Weakly deterministic transformations are subregular
Andrew Lamont | Charlie O’Hara | Caitlin Smith
Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology

Whether phonological transformations in general are subregular is an open question. This is the case for most transformations, which have been shown to be subsequential, but it is not known whether weakly deterministic mappings form a proper subset of the regular functions. This paper demonstrates that there are regular functions that are not weakly deterministic, and, because all attested processes are weakly deterministic, supports the subregular hypothesis.


Decomposing phonological transformations in serial derivations
Andrew Lamont
Proceedings of the Society for Computation in Linguistics (SCiL) 2018


Phylogenetic simulations over constraint-based grammar formalisms
Andrew Lamont | Jonathan Washington
Proceedings of the NAACL Student Research Workshop

IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter
Can Liu | Wen Li | Bradford Demarest | Yue Chen | Sara Couture | Daniel Dakota | Nikita Haduong | Noah Kaufman | Andrew Lamont | Manan Pancholi | Kenneth Steimel | Sandra Kübler
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)