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Spring 2016
Algorithmic decipherment is a prime example of a truly unsupervised problem. This thesis presents several algorithms developed for the purpose of decrypting unknown alphabetic scripts representing unknown languages. We assume that symbols in scripts which contain no more than a few dozen unique...
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Fall 2024
Large Language Models (LLMs), including Vision Large Language Models (VLLMs), herald the coming of a new research epoch in machine learning and computational linguistics. Despite most LLMs being predominantly trained on English, their proficiency in various languages has been confirmed by many...
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Spring 2022
Computational lexical semantics is the study of word meanings which involves algorithms and ontologies. Computation of semantic similarity plays an important role in various applications of natural language processing, including information retrieval, machine translation, and question answering....
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Fall 2021
We leverage multilingual translations from parallel corpora to improve sense annotations, build end-to-end Word Sense Disambiguation pipelines and detect cross-lingual lexical entailment. Based on theories of translational equivalence, we propose novel algorithms capable of correcting noisy sense...