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Skip to Search Results- 2Computational linguistics
- 2Lexical Semantics
- 2Natural Language Processing
- 2Natural language processing
- 1Artificial Intelligence
- 1Cognates
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Fall 2023
Computational lexical semantics is a subfield of natural language processing (NLP) that deals with the study of meaning in language at the level of individual words or phrases using computational models and algorithms. Despite the recent success of large language models and contextualized word...
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Fall 2023
This thesis introduces a new approach for grounding concepts to vision using visual descriptions, which are text-based descriptions of visual attributes. We hypothesize that these descriptions can enhance the grounding of concepts to vision, thereby improving performance in vision-language tasks....
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Fall 2017
Cognates are words in related languages that have originated from the same word in an ancestor language, such as the English/German word pair father/Vater. Cognate information is critical in the field of historical linguistics, where it is used to determine the relationships between languages and...
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Fall 2011
Grapheme-to-phoneme conversion (G2P) and machine transliteration are important tasks in natural language processing. Supplemental data can often help resolve difficult ambiguities: existing transliterations of the same word can help choose among a G2P system’s candidate output transcriptions;...
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Fall 2020
Word sense disambiguation (WSD) is one of the core tasks in natural language processing and its objective is to identify the sense of a content word (nouns, verbs, adjectives, and adverbs) in context, given a predefined sense inventory. Although WSD is a monolingual task, it has been conjectured...
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Fall 2020
Distinguishing between homonymy and polysemy can facilitate Word Sense Disambiguation (WSD), as WSD systems use the standard sense inventories that are excessively fine-grained and include many polysemous senses. We classify words as either homonymous or polysemous by building graphs of word...