Upcoming
Nicholas Michael, Dimitris Metaxas, and Carol Neidle, "Spatial and Temporal Pyramids for Grammatical Expression Recognition of American Sign Language." Eleventh International ACM SIGACCESS Conference on Computers and Accessibility. Philadelphia, PA, October 26-28, 2009.
Previous
Carol Neidle, Nicholas Michael, Joan Nash, and Dimitris Metaxas, "A Method for Recognition of Grammatically Significant Head Movements and Facial Expressions, Developed Through Use of a Linguistically Annotated Video Corpus." Workshop on Formal Approaches to Sign Languages, held as part of the 21st European Summer School in Logic, Language and Information, Bordeaux, France, July 20-31, 2009. C. Neidle, "Crossdisciplinary Corpus-Based ASL Research," 2008-2009 VL2 Presentation Series at Gallaudet University, Washington, DC, March 26, 2009, 4 pm. This talk will (a) present information about a large, publicly available, linguistically annotated corpus, including high quality video files showing synchronized multiple views (with a close-up of the face) of Deaf native signers, and (b) discuss ways in which these data have been used in our linguistic and computer science collaborations. Projects include development of a sign look-up capability based on live or recorded video input, and recognition of various manual and non-manual properties of signing. This research has been supported by grants from the National Science Foundation (#CNS-0427988, #IIS-0705749). V. Athitsos, C. Neidle, S. Sclaroff, J. Nash, A. Stefan, Q. Yuan, & A. Thangali, The ASL Lexicon Video Dataset. First IEEE Workshop on CVPR for Human Communicative Behavior Analysis. Anchorage, Alaska, Monday June 28, 2008. Philippe Dreuw, Carol Neidle, Vassilis Athitsos, Stan Sclaroff, and Hermann Ney, "Benchmark Databases for Video-Based Automatic Sign Language Recognition," the sixth International Conference on Language Resources and Evaluation (LREC). Morocco, May 2008. C. Neidle, "Sign Language Research: Challenges for Sharing and Dissemination of Video Files and Linguistic Annotations," Preservation and Discovery in the Digital Age (ARL Directors' Meeting), Cambridge, MA, November 14-15, 2007.
Our linguistic research and computer science collaborations, supported by the National Science Foundation, rely on a large annotated corpus of sign language video data, which we wish to share with the linguistic and computer science research communities. The challenges for organizing and storing such data in ways that make it possible for others to identify the contents, search for data of interest to them, and then download the relevant materials will be addressed in this presentation.
G. Tsechpenakis, D. Metaxas, O. Hadjiliadis, and C. Neidle, "Robust Online Change-point Detection in Video Sequences," 2nd IEEE Workshop on Vision for Human Computer Interaction (V4HCI) in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR'06), New York, NY, June 2006. T. Castelli, M. Betke, and C. Neidle, "Facial Feature Tracking and Occlusion Recovery in American Sign Language" Pattern Recognition in Information Systems (PRIS-2006) Workshop, Cyprus, May 23-24, 2006. C. Neidle, "The crossmodal study of human language and its importance to linguistic theory," Revolutions in Sign Language Studies: Linguistics, Literature, Literacy. Gallaudet University, March 22-24, 2006. G. Tsechpenakis, D. Metaxas, and C. Neidle, "Learning-based dynamic coupling of discrete and continuous trackers," in Modeling People and Human Interaction workshop of ICCV 2005, Beijing, China, October 2005. W. He, X. Huang, G. Tsechpenakis, D. Metaxas, and C. Neidle, "Discovery of Informative Unlabeled Data for Improved Learning," in Modeling People and Human Interaction workshop of ICCV 2005, Beijing, China, October 2005. C. Neidle and R.G. Lee, Aspects of ASL syntax: CP and the left and right peripheries, guest lecture at the Linguistic Society of America Summer Institute, MIT, July 28, 2005. [See ASLLRP Report no. 12] C. Neidle and D. Metaxas, Linguistically-based computational methods for ASL recognition, SIGNA VOLANT, Sign Language Linguistics and the Application of Information Technology to Sign (SLL&IT), Milan, Italy, June 22-24, 2005. C. Neidle, Another look at some non-manual expressions of syntactic information in ASL, SIGNA VOLANT, Sign Language Linguistics and the Application of Information Technology to Sign (SLL&IT) , Milan, Italy, June 22-24, 2005. C. Neidle, participant in a panel discussion: How analysis shapes data; 2nd Conference of the International Society for Gesture Studies (ISGS), INTERACTING BODIES - CORPS EN INTERACTION, École normale supérieure Lettres et Sciences humaines, Lyon, France, June 15-18, 2005. D. Metaxas and C. Neidle, Linguistically-Based Computational Methods for ASL Recognition, Rutgers University Center for Cognitive Science (RuCCS) Colloquium, April 26, 2005 at 1 PM.
Signed languages involve simultaneous expression of different types of linguistic information through the manual and non-manual channels. In parallel with the signing of lexical material, primarily by the hands and arms, essential linguistic information is conveyed through facial expressions and gestures of the head and upper body, extending over varying, often phrasal, domains. We begin with an overview of the linguistic use of these channels in American Sign Language (ASL). Our linguistic studies have been accomplished in part through collection of video data from native ASL signers: high quality, synchronized views from multiple angles, including a close-up of the face. The annotations of the linguistically relevant components in the manual and non-manual channels have also been of critical importance in our research on computer-based ASL recognition. In this talk, we present and discuss recent advances in recognition of meaningful facial expressions made possible by the coupling of discrete and continuous tracking methods. The use of these methods to analyze hand motion is also enabling the discrimination of fingerspelled vs. non-fingerspelled signs. Given that these types of signs have very different internal linguistic structures, such discrimination is essential to recognition of manual signs.
This research has been supported by an NSF ITR grant to Rutgers University, Boston University, and Gallaudet University (D. Metaxas, C. Neidle and C. Vogler, PIs).
C. Neidle, Focus on the left and right peripheries in ASL. University of Toronto, February 4, 2005 at 3 PM.
Like other signed languages, ASL makes critical use of non-manual markings (gestures of the face and upper body) to express syntactic information. Quite a few different constructions, including 'if' and 'when' clauses, focused NPs, and 'relative clauses' (really correlatives), are characterized by very similar non-manual markings. Not concidentally, all of these phrases normally occur in a sentence-initial position and share some interesting semantic and syntactic commonalities. It is argued here that this position and grammatical marking are associated with Focus. The proposed analysis further provides an explanation (in terms of Rizzi's Relativized Minimality) for previously puzzling semantic and syntactic differences between wh-questions in which the wh-phrase does or does not undergo movement to the right periphery of the clause.
Considerations of focus also provide the key to understanding the apparent optionality of the non-manual realization of subject agreement. We argue that this non-manual marking, which suffices to license null subjects, in fact functions to mark focus. Thus, for example, the VP may or may not bear this focus marking -- which, when present, invariably includes an overt non-manual expression of subject agreement.
Thus, two puzzling cases of apparent optionality in the syntax of ASL are considered. In both cases, it is argued that focus is the relevant factor differentiating the variants.
C. Neidle, Language in another dimension: the syntax of American Sign Language (ASL). York University, DLLL, Ross S 562, February 3, 2005 at 4 PM.
Comparison of the way in which language is manifested in the visual-gestural and aural-oral modalities offers important insights into the nature of the human language faculty. This talk will provide an overview of the linguistic organization of ASL, focusing on the syntax of the language. In parallel with lexical items, which are articulated primarily by the hands, essential syntactic information is expressed through gestures of the face, head, and upper body. These extend over phrases (rather than individual lexical items) to convey information about, e.g., negation, question status and type, reference, subject and object agreement, mood, tense, aspect, definiteness, specificity, and information status (topic, focus). Video examples illustrating the constructions under discussion, as signed by native ASL signers, will be shown.
Because of the difficulties involved in studying language in the visual modality, the American Sign Language Linguistic Research Project has developed a computer application, SignStream, which has been invaluable in our own syntactic research and in collaborations with computer scientists interested in the problems of sign language recognition. Our annotated video data (multiple synchronized views of the signing, including a close-up of the face) may be of use to other researchers, as well. The presentation will include a brief demonstration of SignStream--a tool that can be applied more generally to the linguistic study of any kind of digital video data. It will conclude with mention of the collaborative research now underway on issues related to the problem of ASL recognition by computer.
C. Neidle, Reflexes of Focus in American Sign Language, Colloquium, Linguistics Department. University of Massachusetts, Amherst, November 12, 2004.
This presentation will begin with a brief overview of our syntactic research on American Sign Language, including mention of available annotated data sets (including high-quality video with multiple synchronized views of native signers) and collaboration with computer scientists interested in the problem of sign language recognition. Further information about the research to be reported on here, sponsored in part by grants from the National Science Foundation, is available from http://www.bu.edu/asllrp/.
Like other signed languages, ASL makes critical use of non-manual markings (gestures of the face and upper body) to express syntactic information. Quite a few different constructions, including 'if' and 'when' clauses, focused NPs, and 'relative clauses' (really correlatives), are characterized by very similar non-manual markings. Not coincidentally, all of these phrases normally occur in a sentence-initial position and share some interesting semantic and syntactic commonalities. It is argued here that this position and grammatical marking are associated with Focus. The proposed analysis further provides an explanation (in terms of Rizzi's Relativized Minimality) for previously puzzling semantic and syntactic differences between wh-questions in which the wh-phrase does or does not undergo movement to the right periphery of the clause.
Considerations of focus also provide the key to understanding the apparent optionality of the non-manual realization of subject agreement. We argue that this non-manual marking, which suffices to license null subjects, in fact functions to mark focus. Thus, for example, the VP may or may not bear this focus marking -- which, when present, includes an overt non-manual expression of subject agreement. Thus, two puzzling cases of apparent optionality in the syntax of ASL are considered. In both cases, it is argued that focus is the relevant factor differentiating the variants.
C. Neidle, Dimensions of linguistic research: Analysis of a signed language (plenary address). Australian Linguistic Society conference 2004, Sydney, Australia, July 13-15, 2004.
http://conferences.arts.usyd.edu.au/index.php?cf=4In signed languages, crucial information is expressed, in parallel, by manual signs and by facial expressions and movements of the head. Despite some interesting modality-dependent differences, the fundamental properties of spoken and signed languages are strikingly similar. Beginning with an overview of the linguistic organization of American Sign Language (ASL), this presentation will focus on several syntactic constructions in ASL that have been the subject of some controversy. Specifically, the nature and distribution of syntactic agreement and alternative structures for wh-questions will be discussed. In both cases, it will be argued that semantic and pragmatic factors (related to ‘focus’) differentiate seemingly optional syntactic variants.
Because of the difficulties of studying language in the visual modality, the American Sign Language Linguistic Research Project has developed a computer application, SignStream, which has been invaluable in our own syntactic research and in collaborations with computer scientists interested in the problems of sign language recognition. Our annotated video data (including synchronized views showing different perspectives of the signing and a close-up of the face) may be of use to other researchers, as well. The presentation will conclude with a brief demonstration of SignStream (a tool that can be applied more generally to the linguistic study of any kind of digital video) and information about the available annotated corpus of data collected from native users of American Sign Language.
C. Neidle and R.G. Lee, Unification, competition and optimality in signed languages: aspects of the syntax of American Sign Language (ASL). International Lexical Functional Grammar Conference. Christchurch, New Zealand, July 10-12, 2004.
[ABSTRACT]
C. Neidle, Resources for the study of visual language data: SignStream software for linguistic annotation and analysis of digital video and an annotated ASL corpus. International Lexical Functional Grammar Conference. Christchurch, New Zealand, July 10-12, 2004.
[ABSTRACT]
C. Neidle and R.G. Lee, Dimensions of the Linguistic Analysis of ASL: Challenges for Computer-Based Recognition. HCI Seminar Series, Computer Science and Artificial Intelligence Laboratory, MIT, June 9, 2004.
ASL and other signed languages have only recently been recognized to be full-fledged natural languages worthy of scientific study. These languages make use of complex articulations of the hands in parallel with linguistically significant facial gestures and head movements. Until recently, the lack of sophisticated tools for capture, annotation, retrieval, and analysis of the complex interplay of manual and non-manual elements has held back linguistic research. Thus, although there have been some fascinating discoveries in recent years, additional research on the linguistic structure of signed languages is badly needed. The relatively limited linguistic understanding of signed languages is, in turn, a hindrance for progress in computer-based sign language recognition. For these reasons, crossdisciplinary collaborations are needed in order to achieve advances in both domains.
This talk provides an overview of the nature of linguistic expression in the visual-spatial modality. It includes a demonstration of SignStream, an application developed by our research group for the annotation of video-based language data. SignStream has been used for creation of a substantial corpus of linguistically annotated data from native users of ASL, including high-quality synchronized video files showing the signing from multiple angles as well as a close-up view of the face. These video files and associated annotations, which have been used by many linguists and computer scientists (working separately and together), are being made publicly available.
C. Neidle and R.G. Lee, The SignStream Project: Available Resources and Future Directions. WORKSHOP ON THE REPRESENTATION AND PROCESSING OF SIGN LANGUAGES From SignWriting to Image Processing. Information techniques and their implications for teaching, documentation and communication. Workshop on the occasion of the 4th International Conference on Language Resources and Evaluation (LREC 2004). Lisbon, Portugal. May 30, 2004. C. Neidle and R.G. Lee, Syntactic agreement across language modalities: American Sign Language, Lisbon Workshop on Agreement, Universidade Nova de Lisboa, July 10-11, 2003.
R.G. Lee and C. Neidle, New developments in the annotation of gesture and sign language data: Advances in the SignStream project. The 5th International Workshop on Gesture and Sign Language based Human-Computer Interaction, Genova, Italy. April 15-17, 2003. Click here for pdf abstract.
C. Neidle and R.G. Lee, New developments in the annotation of gesture and sign language data: Advances in the SignStream project. University of Palermo, Italy. April 14, 2003 at 10.30.
C. Neidle and R.G. Lee, Questions and Conditionals in American Sign Language: Focusing on the left and right periphery, Università Milano-Bicocca, Italy. April 10, 2003 at 13.30.
Like other signed languages, ASL makes critical use of non-manual markings (gestures of the face and upper body) to express syntactic information. Quite a few different constructions, including 'if' clauses, 'when' clauses, focused NPs, and relative clauses, are characterized by very similar non-manual markings. Not concidentally, all of these phrases normally occur in a sentence-initial position and share some interesting semantic and syntactic commonalities. We argue here that this position and grammatical marking are associated with Focus. The proposed analysis further provides an explanation (in terms of Rizzi's Relativized Minimality) for previously puzzling semantic and syntactic differences between wh-questions in which the wh-phrase does or does not undergo movement to the right periphery of the clause.
C. Neidle, with Fran Conlin and Lana Cook. Focus and Wh Constructions in ASL. Harvard University GSAS Workshop Series on Comparative Syntax and Linguistic Theory. Cambridge, MA. May 17, 2002.
Wh-question constructions in American Sign Language (ASL) containing in situ wh phrases and moved wh phrases appearing at the right periphery of the clause will be compared. A syntactic account involving distinct projections for focus and wh phrases will be proposed. The differences in interpretation of the two constructions will be argued to follow from Relativized Minimality. Evidence in support of this analysis comes from (1) certain restrictions on the occurrence of wh-movement, and (2) the distribution of an indefinite focus particle in ASL.The findings to be discussed have emerged from joint work with Ben Bahan, Sarah Fish, and Paul Hagstrom, supported in part by grants from the National Science Foundation.
C. Neidle. Visual Analysis of Signed Language Data. Rutgers Center for Cognitive Science Colloquium. April 23, 2002.
Research on recognition and generation of signed languages and the gestural component of spoken languages has been held back by unavailability of large-scale linguistically annotated corpora of the kind that led to significant advances in the area of spoken language. A major obstacle to the production of such corpora has been the lack of computational tools to assist in efficient transcription and analysis of visual language data.This talk will begin with a discussion of a few of the interesting linguistic characteristics of language in the visual-gestural modality that pose a challenge for sign language recognition. Next, there will be a demonstration of SignStream, a computer program that we have designed to facilitate the linguistic analysis of visual language data. A substantial amount of high quality video data -- including multiple synchronized views of native users of American Sign Language (ASL) -- is being collected in our Center for Sign Language and Gesture Resources. These data, along with linguistic annotations produced through the use of SignStream, are being made publicly available in a variety of formats.
The second part of this talk will present some results of collaborative research now in progress between linguists and computer scientists in the development of computer vision algorithms to detect linguistically significant aspects of signing and gesture. The visual analysis of the sign language data will be discussed and relevant video examples will be presented.
The projects described here have been carried out in collaboration with Stan Sclaroff (Boston University) and Dimitris Metaxas (Rutgers), among other researchers, and they have been supported by grants from the National Science Foundation. Further information is available at http://www.bu.edu/asllrp/.
C. Neidle. American Sign Language: Linguistic Perspectives. Rutgers University Language and Linguistics Club. April 22, 2002.
A general overview of the linguistic organization of American Sign Language (ASL) will be presented. It will be argued that the fundamental linguistic properties of signed and spoken languages are the same, despite some interesting differences attributable to modality. SignStream, a computer program that we have designed to facilitate linguistic analysis of visual language data, will be demonstrated briefly. I will also report on ongoing collaborative research with computer scientists at Boston University (Stan Sclaroff) and at Rutgers (Dimitris Metaxas) and demonstrate some of our latest results.C. Neidle. Master Class for linguistics faculty: The Linguistics of American Sign Language. Rutgers University, April 22, 2002.
C. Neidle, Linguistic annotation and analysis of signed language using SignStream. Invited presentation at the IEEE* International Workshop on Cues in Communication ("Cues 2001") held in Conjunction with CVPR'2001. Kauai, Hawaii, USA. December 9, 2001.
C. Neidle, SignStream as a tool for linguistic annotation of signed language data. TalkBank Gesture Workshop, Carnegie Mellon University, Pittsburgh, PA, October 26-28, 2001.
C. Neidle, SignStream, un logiciel de base de données qui facilite l'encodage et l'analyse linguistique de données visuo-gestuelles. Transcription de la parole normale et pathologique - avec une session spéciale sur la transcription des langues des signes et du gestuel. l'Université de Tours, France. December 8 and 9, 2000.
C. Neidle and S. Sclaroff, SignStream: A tool for linguistic and computational research on visual-gestural language data. Third International Conference on Methods and Techniques in Behavioral Research. Nijmegen, The Netherlands, August 15-18, 2000.
Research on recognition and generation of signed languages and the gestural component of spoken languages has been held back by the unavailability of large-scale linguistically annotated corpora of the kind that led to significant advances in the area of spoken language. A major obstacle to the production of such corpora has been the lack of computational tools to assist in efficient analysis and transcription of visual language data.The first part of this talk will present SignStream™, a computer program that we have designed to facilitate the transcription and linguistic analysis of visual language data. SignStream provides a single computing environment for manipulating digital video and linking specific frame sequences to simultaneously occurring linguistic events encoded in a fine-grained multi-level transcription. Items from different fields are visually aligned on the screen to reflect their temporal relations, as illustrated in Figure 1.
Figure 1. SignStream: video and gloss windows. We will describe the capabilities of the current release--which is distributed on a non-profit basis to educators and researchers--as well as additional features currently under development.Although SignStream may be of use for the analysis of any visual language data (including data from signed languages as well as the gestural component of spoken languages), we have been using the program primarily to analyze data from American Sign Language (ASL). This has resulted in a growing corpus of linguistically annotated ASL data (as signed by native signers). In the second part of this talk, we will discuss the ways in which the annotated corpus is being used in the development and refinement of computer vision algorithms to detect linguistically significant aspects of signing and gesture. This research is being conducted within the context of the National Center for Sign Language and Gesture Resources, which has established state-of-the-art digital video data collection facilities at Boston University and the University of Pennsylvania. Each lab is equipped with multiple synchronized digital cameras (see Figure 2) that capture different views of the subject (see Figure 3).
Figure 2. National Center for Sign Language and Gesture Resources:
data collection facility at Boston University.
Figure 3. Three views of a signer. The video data collected in this facility are being made publicly available in multiple video file formats, along with the associated linguistic annotations.The projects described here have been supported by grants from the National Science Foundation.
C. Neidle, SignStream, A tool for crosslinguistic analysis of signed languages. Seventh International Conference on Theoretical Issues in Sign Language Research (TISLR 2000). Amsterdam, The Netherlands. July 23-27, 2000.
D. MacLaughlin, Syntactic research on American Sign Language: The state of the art. Applied linguistics research seminar. Boston University, October 25, 1999.
C. Neidle and D. MacLaughlin, Language in another dimension: American Sign Language. Dartmouth College, Hanover, NH, October 22, 1999.
C. Neidle, D. MacLaughlin, and R.G. Lee, Language in the visual modality: Linguistic research and computational tools. University of Pennsylvania, May 7, 1999.
This talk focuses on issues surrounding linguistic research on signed languages and presents a demonstration of a computational tool to facilitate analysis of visual language data. We begin with an overview of the linguistic organization of American Sign Language. Next, we address particular problems associated with the collection, analysis, and dissemination of sign language data. We then present a demonstration of SignStream (http://www.bu.edu/asllrp/SignStream), a multimedia database tool currently under development as part of the American Sign Language Linguistic Research Project (http://www.bu.edu/asllrp).
SignStream-encoded language data will be made publicly available as part of a collaborative venture with the University of Pennsylvania to establish a National Center for Sign Language and Gesture Resources (U Penn: D. Metaxas, N. Badler, M. Liberman; Boston U: C. Neidle, S. Sclaroff).
C. Neidle, SignStream: A Multimedia Tool for Language Research. Poster presented at the National Science Foundation Human Computer Interaction Grantees' Workshop '99, Orlando, Florida, February 22, 1999.
C. Neidle and D. MacLaughlin, The Distribution of Functional Projections in ASL: Evidence from overt expressions of syntactic features. Workshop: The Mapping of functional projections. Università di Venezia and Venice International University, Isola di San Servolo, Venice, Italy, January 29, 1999.
To download a pdf version of the handout and digitized video examples, click here.
General information about downloading filesC. Neidle, R.G. Lee, D. MacLaughlin, B. Bahan, and J. Kegl, SignStream and the American Sign Language Linguistic Research Project. University of Stellenbosch, South Africa, February 19, 1997.
C. Neidle, J. Kegl, B. Bahan, D. MacLaughlin, and R. G. Lee, Non-manual Grammatical Marking as Evidence for Hierarchical Relations in American Sign Language. Symposium presented at the Fifth International Conference on Theoretical Issues in Sign Language Research, Montreal. September 21, 1996.
C. Neidle, J. Kegl, D. MacLaughlin, R. G. Lee, and B. Bahan, The Distribution of Non-Manual Correlates of Syntactic Features: Evidence for the Hierarchical Organization of ASL
B. Bahan, C. Neidle, D. MacLaughlin, J. Kegl, and R. G. Lee, Non-Manual Realization of Agreement in the Clause
D. MacLaughlin, C. Neidle, B. Bahan, J. Kegl, and R. G. Lee, Non-Manual Realization of Agreement in the Noun Phrase
C. Neidle, J. Kegl, D. MacLaughlin, B. Bahan, and R. G. Lee, Demonstration of SignStream™ as part of Technology Displays at the Fifth International Conference on Theoretical Issues in Sign Language Research, Montreal. September 20, 1996.
C. Neidle, J. Kegl, D. MacLaughlin, B. Bahan, R. G. Lee, J. Hoza, O. Foelsche, and D. Greenfield, SignStream™: A Multimedia Database Tool for Linguistic Analysis. Poster session and software demonstration presented at the Fifth International Conference on Theoretical Issues in Sign Language Research, Montreal. September 19, 1996.
D. MacLaughlin, C. Neidle, B. Bahan, and J. Kegl, SignStream: A Multimedia Database for Sign Language Research. Talk and demonstration presented at the Human Movement Coding Workshop at City University, London, England, May 29, 1996.
D. MacLaughlin, C. Neidle, B. Bahan, and J. Kegl, The SignStream Project. Talk and demonstration presented at the University of Durham, England, May 28, 1996.
B. Bahan, C. Neidle, D. MacLaughlin, and J. Kegl, Non-Manual Realization of Agreement in American Sign Language. Talk presented at the University of Durham, England, May 27, 1996.
C. Neidle, D. MacLaughlin, B. Bahan, and J. Kegl, Non-Manual Correlates of Syntactic Agreement in American Sign Language. Talk presented at the University of Iceland, Reykjavik, May 23, 1996.
B. Bahan, J. Kegl, and C. Neidle, Introduction to Syntax for Sign Language Teachers; and The Spread of Grammatical Facial Expressions and Evidence of the Structure of Sentences in ASL. New York Statewide Conference for Teachers of American Sign Language. June 4, 1994.
C. Neidle, D. MacLaughlin, J. Kegl and B. Bahan, SignStream: A Multimedia Database for Sign Language Research. Talk presented at the University of Iceland, Reykjavik, May 22, 1996.
B. Bahan, ASL Literary Traditions. Talk presented at the University of Virginia, Charlottesville, April 12, 1996.
J. Kegl, B. Bahan, O. Foelsche, David Greenfield, J. Hoza, D. MacLaughlin, and C. Neidle, SignStream: A Multimedia Tool for Language Analysis. Talk presented at the Conference on Gestures Compared Cross-Linguistically, 1995 Linguistic Institute, University of New Mexico, Albuquerque, NM, July 10, 1995.
J. Kegl, B. Bahan, D. MacLaughlin, and C. Neidle, Overview of Arguments about Rightward Movement in ASL. Talk presented in the course on the Linguistic Structure of American Sign Language at the 1995 Linguistic Institute, University of New Mexico, Albuquerque, NM, July 11, 1995.
C. Neidle, D. MacLaughlin, J. Kegl, B. Bahan, and D. Aarons, Overt Realization of Syntactic Features in American Sign Language. Syntax Seminar, University of Trondheim, Trondheim, Norway, May 30, 1995.
B. Bahan, J. Kegl, D. MacLaughlin, and C. Neidle, Convergent Evidence for the Structure of Determiner Phrases in American Sign Language. Formal Linguistics Society of Mid-America, Bloomington, IN, May 19-21, 1995.
General information about downloading files
General information about downloading filesJ. Shepard-Kegl, C. Neidle, and J. Kegl, Legal Ramifications of an Incorrect Analysis of Tense in ASL. American Association for Applied Linguistics, Baltimore, MD, March 8, 1994.
C. Neidle and J. Kegl, The Architecture of Functional Categories in American Sign Language. Syracuse University Linguistics Colloquium, Syracuse, NY, December 10, 1993.
D. Aarons, B. Bahan, J. Kegl, and C. Neidle, Tense and Agreement in American Sign Language. Fourth International Conference on Theoretical Issues in Sign Language Research, University of California, San Diego, August 5, 1992.
D. Aarons, J. Kegl, and C. Neidle, Subjects and Agreement in American Sign Language. Fifth International Symposium on Sign Language Research, Salamanca, Spain, May 26, 1992.