Carol Neidle

Professor of Linguistics and French
Carol Neidle
Office phone: 617-353-6218
Fax: 617-358-4641
Office number: Linguistics 101
Office address: Linguistics Department, 621 Commonwealth Ave.
Boston, MA 02215
Office hours: On sabbatical leave July 1, 2020 - June 30, 2021.
[Please send email for a virtual appointment.]

BA, Yale College
MA, Middlebury College
PhD, Massachusetts Institute of Technology

Professor Neidle teaches courses in general linguistics and French linguistics. Her research interests include syntactic theory and the syntactic structure of American Sign Language (ASL).

Professor Neidle is the Director of the American Sign Language Linguistic Research Project (ASLLRP). Funding from the NSF supports linguistic research on the syntactic structure of ASL, development of computational tools (including SignStream®, a MacOS application) to facilitate analysis of signed language and gesture, and collaborative research with computer scientists interested in the problem of sign language recognition. Through our National Center for Sign Language and Gesture Resources, several different types of experimental resources and analyzed data are made publicly available.

New software releases: We have recently released: (1) a new Java version of SignStream®, for linguistic annotation and analysis of video data; and (2) a new version of our Web-based Data Access Interface (DAI 2). Both of these tools include substantially expanded functionality relative to the previous versions and will allow access to a large new collection of linguistically annotated American Sign Language (ASL) data, the ASLLRP SignStream® 3 Corpus. DAI 2 also provides access to our new ASLLRP Sign Bank.

See this page for information about this research. Publications include The Syntax of American Sign Language: Functional Categories and Hierarchical Structure (MIT Press) and The Role of Case in Russian Syntax (Dordrecht: Kluwer).

Ongoing research is funded in part by the National Science Foundation: a grant of >$300K to Boston University (Carol Neidle, PI) for "Scalable Integration of Data-Driven and Model-Based Methods for Large Vocabulary Sign Recognition and Search," running from 8/1/18 through 7/31/21. This project is a collaboration with Dimitris Metaxas, PI at Rutgers University, and Matt Huenerfauth, PI at RIT.