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On this page, you will a details of Ray's academic background, grouped into sections ordered in reverse, chronologically. You will also find a complete listing of his academic publications.
Post-Graduate
Undergraduate and Graduate
In 1998, he received the Ph.D. in computer science from MIT as well. Lau performed his doctoral work in the Spoken Language Systems Group at the MIT Laboratory for Computer Science (now part of the MIT Computer Science and Artificial Intelligence Laboratory). Lau's doctoral dissertation, completed in March 1998, was in the area of subword linguistic modelling for speech recognition, that is, using word substructures such as syllables for better recognition, at SLS under the direction of Dr. Stephanie Seneff. While pursuing his doctorate, Ray also led the WebGALAXY project. Lau's research interests included: voice recognition, conversational language systems, language modelling, and various Internet related technologies. Lau was a National Science Foundation fellowship recipient and is a member of Eta Kappa Nu. Primary and SecondaryRaymond attended Public School 69 in Jackson Heights (Queens, NYC) for grades K through 5 and Joseph Pulitzer Intermediate School 145, also in Jackson Heights, for grades 6 through 8. He was a trumpet player in the I.S. 145 band, was a member of the math team, and graduated as valedictorian in 1985. His validictory speech focused on the computing revolution as the major development for the next decade.
Academic PublicationsThere are three groupings of publications. The first is related to ANGIE and Lau's Ph.D. dissertation work. The second is related to GALAXY and other work done for the Spoken Language Systems Group. The third is related to trigger-based adaptive language modelling work for Ray's S.M. done at IBM TJ Watson Research Center.
ANGIE and Ph.D. Work PublicationsA Unified System for Sublexical and Linguistic Modelling Suporting Flexible Vocabulary Speech Understanding Authors: Raymond Lau and Stephanie SeneffAppears in: Proceedings of ICSLP '98, Sydney, Australia, pp. 2443-2446, November, 1998 Subword Lexical Modelling for Speech Recognition Author: Raymond Lau Ph.D. thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, May 1998
Appears in: Proceedings of Eurospeech '97, Rhodes, Greece, pp. 263-266, September, 1997
ANGIE: A New Framework for Speech Analysis Based on Morpho-Phonological Modelling
Authors: Stephanie Seneff, Raymond Lau and Helen Meng Excerpt of 1996 SLS Annual Research Summary A more digestible excerpt describing this work is also available here. GALAXY and SLS Work PublicationsOrganization, Communication, and Control in the GALAXY-II Conversational System Authors: Stephanie Seneff, Raymond Lau, and Joseph PolifroniAppears in: Proceedings of Eurospeech '99, Budapest, Hungary, pp. ??-??, September, 1999
Appears in: Proceedings of ICSLP '98, Sydney, Australia, pp. 931-934, November, 1998
Appears in: Proceedings of Eurospeech '97, Rhodes, Greece, pp. 883-886, September, 1997
WebGALAXY: Beyond Point and Click - A Conversational Interface to a Browser
Authors: Raymond Lau, Giovanni Flammia, Christine Pao and Victor Zue S.M. Work at IBM TJWRC PublicationsAdaptive Statistical Language Modelling Author: Raymond LauS.M. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, May 1994.
Appears in: Proceedings ICASSP '93, Minneapolis, MN, pp. II-45 - II-48, April, 1993. (Note: Sorry, only images are available.) Adaptive Language Modelling Using the Maximum Entropy Approach Authors: Raymond Lau, Roni Rosenfeld and Salim Roukos Appears in: Proceedings ARPA Human Language Technologies Workshop, Princeton, NJ, pp. 81-86, March, 1993. (Note: Sorry, only images are available.) Building scalable N-gram language models using maximum likelihood maximum entropy N-gram models U.S. Patent: 5,467,425 Inventors: Lau, Raymond; Rosenfeld, Roni; Roukos, Salim Assignee: International Business Machines Corporation (Armonk, NY) Filed: Feb. 26, 1993 Issued: Nov. 14, 1995 21 Claims, 16 Drawing Figures Certificate of correction issued on Jun. 17, 1997, as U.S. Patent 5,640,487 Abstract: The present invention is an n-gram language modeler which significantly reduces the memory storage requirement and convergence time for language modelling systems and methods. The present invention aligns each n-gram with one of "n" number of non-intersecting classes. A count is determined for each n-gram representing the number of times each n-gram occurred in the training data. The n-grams are separated into classes and complement counts are determined. Using these counts and complement counts factors are determined, one factor for each class, using an iterative scaling algorithm. The language model probability, i.e., the probability that a word occurs given the occurrence of the previous two words, is determined using these factors. Full list of claims and images from the USPTO Excerpt of 1995 SLS Annual Research Summary A more digestible excerpt describing this work is also available here.
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