About
Computational linguistics develops mathematically precise computational models of language learning, use, and understanding, which are deployed in one of two ways. First, they can be used scientifically to understand the consequences of the complex assumptions that are often made in theories of language learning or use. By formalizing hypotheses, we can deduce outcomes that would be difficult or impossible to understand without simulation and/or proof, and we can often derive new kinds of predictions from our theories. Second, such implemented computational models are important as engineering tools in real-world applications, such as interaction with our phones and computers.
At 海外直播b站, research in computational linguistics is strong in scientific applications in the Linguistics department, and in engineering applications in the university more broadly. In the department we use a variety of computational tools and methods to study language acquisition, processing, use in society, and change over time. One focus is structured probabilistic models of phonology, morphology, and syntax which make use of linguistic theories in these domains and methods from machine learning and artificial intellience. Another focus is adapting methods from computer science to develop tools for analyzing large speech datasets.
Faculty
Tim O'Donnell
Computational Models of Language Learning and Processing
Mathematical Linguistics
Probabilistic Inference
Siva Reddy
Linguistically-Informed Deep LearningComputational Syntax and Semantics
Biases in Deep Learning Models
Researchers from Other Departments
We also have connections with computational researchers in other departments at 海外直播b站:
- (Computer Science) uses statistical methods from artificial intelligence and machine learning to generate text and speech that is fluent and appropriate to context.
- (Computer Science) analyzes large-scale human behavior on Twitter and other online forums.
- 海外直播b站's , led by and (Languages, Literatures, and Cultures), analyze textual data using computational methods to address questions about literature, culture, and society.