About

This site contains materials for Introduction to Computational Linguistics, a course taught by Aaron Steven White at the University of Rochester.

About the course

This course covers foundational concepts in computational linguistics. It focuses on the use of formal languages as tools for understanding natural language and on the implementation of algorithms for working with those formal languages. Topics include formal language theory, finite-state phonological and morphological parsing, and syntactic parsing with context-free and mildly context-sensitive formalisms.

Prerequisites

This course relies on concepts covered in an introductory linguistics course and an introductory programming course. With respect to the latter, it assumes that you can write nontrivial scripts and work with Python’s object-oriented programming facilities, though it does not assume that you can develop a package on your own.

About the instructor

Aaron Steven White is an Associate Professor of Linguistics and Computer Science at the University of Rochester, where he directs the Center for Language Sciences and the Formal and Computational Semantics lab (FACTS.lab). His research investigates the relationship between linguistic expressions and conceptual categories that undergird the human ability to convey information about possible past, present, and future configurations of things in the world.

In addition to being a principal investigator on numerous federally funded grants and contracts, White is the recipient of a National Science Foundation Faculty Early Career Development (CAREER) award. His work has appeared in a variety of linguistics, cognitive science, and natural language processing venues, including Semantics & Pragmatics, Glossa, Language Acquisition, Cognitive Science, Cognitive Psychology, Transactions of the Association for Computational Linguistics, and Empirical Methods in Natural Language Processing.

About the site

The site itself is built using Quarto. The source files for this site are available on GitHub at aaronstevenwhite/intro-to-cl. See Installation for information on how to run the code documented here.

Acknowledgments

The development of these materials was supported by the University of Rochester and a National Science Foundation grant: CAREER: Logical Form Induction (BCS/IIS-2237175).

License

Introduction to Computational Linguistics by Aaron Steven White is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Based on a work at https://github.com/aaronstevenwhite/intro-to-cl.

--- title: "About" comments: false --- This site contains materials for *Introduction to Computational Linguistics*, a course taught by [Aaron Steven White](http://aaronstevenwhite.io/) at the University of Rochester. ## About the course This course covers foundational concepts in computational linguistics. It focuses on the use of formal languages as tools for understanding natural language and on the implementation of algorithms for working with those formal languages. Topics include formal language theory, finite-state phonological and morphological parsing, and syntactic parsing with context-free and mildly context-sensitive formalisms. ## Prerequisites This course relies on concepts covered in an introductory linguistics course and an introductory programming course. With respect to the latter, it assumes that you can write nontrivial scripts and work with Python's object-oriented programming facilities, though it does not assume that you can develop a package on your own. ## About the instructor Aaron Steven White is an Associate Professor of [Linguistics](http://www.sas.rochester.edu/lin/) and [Computer Science](https://www.cs.rochester.edu/) at the [University of Rochester](https://rochester.edu/), where he directs the [Center for Language Sciences](https://www.sas.rochester.edu/cls/) and the [Formal and Computational Semantics lab](http://factslab.io/) (FACTS.lab). [His research](http://aaronstevenwhite.io/research) investigates the relationship between linguistic expressions and conceptual categories that undergird the human ability to convey information about possible past, present, and future configurations of things in the world. In addition to being a principal investigator on numerous federally funded grants and contracts, White is the recipient of [a National Science Foundation Faculty Early Career Development (CAREER) award](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237175). His work has appeared in a variety of linguistics, cognitive science, and natural language processing venues, including Semantics & Pragmatics, Glossa, Language Acquisition, Cognitive Science, Cognitive Psychology, Transactions of the Association for Computational Linguistics, and Empirical Methods in Natural Language Processing. ## About the site The site itself is built using [Quarto](https://quarto.org/). The source files for this site are available on GitHub at [aaronstevenwhite/intro-to-cl](https://github.com/aaronstevenwhite/intro-to-cl). See [Installation](installation.qmd) for information on how to run the code documented here. ## Acknowledgments The development of these materials was supported by the University of Rochester and a National Science Foundation grant: *CAREER: Logical Form Induction* ([BCS/IIS-2237175](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237175)). ## License <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/80x15.png" /></a> <span xmlns:dct="http://purl.org/dc/terms/" href="http://purl.org/dc/dcmitype/Text" property="dct:title" rel="dct:type">Introduction to Computational Linguistics</span> by <a xmlns:cc="http://creativecommons.org/ns#" href="http://aaronstevenwhite.io" property="cc:attributionName" rel="cc:attributionURL">Aaron Steven White</a> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>. Based on a work at <a xmlns:dct="http://purl.org/dc/terms/" href="https://github.com/aaronstevenwhite/intro-to-cl" rel="dct:source">https://github.com/aaronstevenwhite/intro-to-cl</a>.