of the syntactic structure of ASL, with particular
emphasis on the hierarchical representation
of functional categories and on the manual and
non-manual expressions of grammatical information.
of a computer program designed to facilitate
linguistic analysis of video-based language
data; SignStream allows simultaneous access
to raw video data and to representations of
those data in linguistically useful formats
and is distributed on a non-profit basis to
students, educators, and researchers.
Tools for Computational Research on Visual-Gestural
with Stan Sclaroff in Computer Science at BU.
project involves a Java reimplementation of
SignStream to include tools for efficient data
entry of fine-grained phonological information
and integration of information provided by computer
algorithms, among other new features. Machine
vision-based algorithms for semi-automation
of several aspects of the transcription process
will also be developed.
between Boston University (the ASLLRP and Stan
Sclaroff's Image and Video Computing Group)
and Rutgers University (Dimitris Metaxas).
goal of this project is to make available several
different types of experimental resources and
analyzed data to facilitate linguistic and computational
research on signed languages and the gestural
components of spoken languages.
Discovery in Signed Languages and Gestural Communication
with Margrit Betke, George Kollios, and Stan Sclaroff
in Computer Science at BU.
analysis algorithms are being developed for
discovery of the co-occurrence, overlap, relative
timing, frequency, and magnitude of non-manual
gestures in ASL.
ITR-Collaborative Research: Advances in recognition and interpretation of human motion: An Integrated Approach to ASL Recognition
Collaboration with Dimitris Metaxas, Ahmed Elgammal and Vladimir Pavlovic (Rutgers University) and Christian Vogler (Gallaudet University)
This project focuses on integration of information (which is linguistically essential) from both the manual and non-manual channels for purposes of computer-based sign language recognition.
Collaboration with Stan Sclaroff (BU Computer Science) and Vassilis Athitsos (University of Texas at Arlington)
One goal of the research is development of a "look-up" capability, whereby a signer can produce a sign in front of a camera, or identify a sign in a video, and have the computer identify which sign it is. One application of this technology would be an interface for a multi-media sign language dictionary.
Friedman and Carol Neidle (1986) Phonological Analysis
for French Dictation: Preliminaries to an Intelligent
Tutoring System. Boston University Computer Science
Technical Report #86-004, April 1986.
Current position: Research Assistant Professor of Neurology, Boston University School of Medicine
Previous position: Assistant Professor, Department of English, Beit Berl Academic College, Kfar Sabba, Israel
position: Senior Curriculum Developer at Microsoft
Assistant Professor, Department of Linguistics, McGill
D. (1995). Language Acquisition and the Subset Principle. The Linguistic Review, 12, 143-191.
D. (1998). The acquisition of the morphosyntax of
English reflexives by non-native speakers. In M.-L.
Beck, ed., Morphology and its interfaces in second
language knowledge (pp. 195-226). Philadelphia:
ACADEMIC BACKGROUND AND CURRENT AFFILIATIONS
Professor of French and Linguistics, Boston University,
Boston, MA (2001- )
Director of the Linguistics Program
Professor of French and Linguistics, Department of
Modern Foreign Languages and Literatures, Boston University,
Boston, MA (1987-2001).
Assistant Professor of French and
Linguistics, Department of Modern Foreign Languages
and Literatures, Boston University (1982-1987).
Ph.D. Program in Applied Linguistics, Boston University
Advisor for the Boston University Conference on Language
Member, Middlebury College French School, Summers
of 1983, 1985, 1986, 1987, 1988.