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UPenn - E - 93
Sixth Conference of the European Chapter of the Association for Computational LinguisticsProceedings of the Conference9~~21 - 23 April 1993 OTS - ResearchInstitute for Languageand Speech Utrecht University Utrecht, The NetherlandsPublishe
UPenn - E - 99
Ninth Conference of the European C h a p t e r of the Association for C o m p u t a t i o n a l Linguistics8-12 June 1999 University of Bergen Bergen, NorwayPublished by the Association for Computational LinguisticsThe conference was sponsored
UPenn - J - 00
Book ReviewsSpeech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition Daniel Jurafskyand James H. Martin(University of Colorado, Boulder) Upper Saddle River, NJ: Prentice Hall
UPenn - J - 05
Book ReviewsSpoken Dialogue Technology: Toward the Conversational User InterfaceMichael F. McTear (University of Ulster) London: Springer-Verlag, 2004, x+432 pp; paperbound, ISBN 1-85233-672-2, $59.95 Reviewed by Johannes Pittermann University of
UPenn - J - 96
Computational LinguisticsVolume 22, Number 3D e i x i s in Narrative: A C o g n i t i v e S c i e n c e Perspective Judith F. Duchan, Gail A. Bruder, and Lynne E. Hewitt (editors)(State University of New York at Buffalo) Hillsdale, NJ: Lawrence
UPenn - J - 98
Computational LinguisticsVolume 24, Number 4Multilingual Text-to-Speech Synthesis: The Bell Labs Approach Richard Sproat(editor)(Bell Laboratories, Lucent Technologies) Dordrecht: Kluwer Academic Publishers, 1998, xxvi+300 pp; hardbound, ISBN 0-
UPenn - J - 86
Book ReviewsConceptual Structuresinferences are generated, how many inferences are generated, and what knowledge sources contribute to the generation of inferences. In their book Structures and Procedures of Implicit Knowledge, Graesser and Clark
UPenn - J - 95
Briefly NotedVerbmobih A Translation System for Face-to-Face Dialog Martin Kay, Jean Mark Gawron, and Peter Norvig(Xerox Palo Alto Research Center, SRI International, and Sun Microsystems Laboratories) Stanford: Center for the Study of Language and
UPenn - J - 99
Book ReviewsType-Logical SemanticsBob Carpenter(Lucent Technologies) Cambridge, MA: The MIT Press (Language, speech, and communication series), 1997, xxi+575 pp; hardbound, ISBN 0-262-03248-1, $60.00; paperbound, ISBN 0-262-53149-6, $35.00Revie
UPenn - J - 00
Book ReviewsLocal Constraints vs. E c o n o m y David E. Johnson and Shalom Lappin (IBM Thomas J. Watson Research Center and King's College, University of London)Stanford, CA: CSLI Publications (Stanford monographs in linguistics), 1999, x+150 pp;
UPenn - J - 91
The Logical Structure of English: Computing Semantic Content Allan Ramsay(University College Dublin) London: Pitman, 1990, iv + 209 pp. Paperbound ISBN 0-273-03287-9, 19.99Reviewed by Martin Volk University of Koblenz-LandauH o w do you judge whe
UPenn - J - 04
Book ReviewHandbook for Language EngineersAli Farghaly (editor) (SYSTRAN Software Corporation) Stanford, CA: CSLI Publications (CSLI lecture notes, number 164) (distributed by the University of Chicago Press), 2003, xi+442 pp; hardbound, ISBN 1-575
UPenn - N - 04
HLT-NAACL 2004Human Language Technology Conference of the North American Chapter of the Association for Computational LinguisticsProceedings of the Main ConferenceMay 2-7, 2004 Boston, Massachusetts, USAISBN 1-932432-23-X900009 781932 432
UPenn - J - 90
Book ReviewsComputationalLinguistics: An IntroductionG6ran Maimgren describes regularities in polysemy: types of metaphoric transfer of meaning in nouns, regular extensions in verb meanings, and changes in adjective meanings as the argument chang
UPenn - J - 98
Book ReviewsCorpus-Based Methods in Language and Speech Processing Steve Young and Gerrit Bloothooft (editors)(Cambridge University and Utrecht University) Dordrecht: Kluwer Academic Publishers (Text, Speech and Language Technology series, edited b
UPenn - J - 01
Computational LinguisticsVolume 27, Number 2Learnability in Optimality Theory Bruce Tesar and Paul Smolensky(Rutgers University and The Johns Hopkins University) Cambridge, MA: The MIT Press, 2000, vii+140 pp; hardbound, ISBN 0-262-20126-7, $25.
UPenn - J - 93
Book ReviewsA n I n t r o d u c t i o n to M a c h i n e Translation W. John Hutchins and Harold L. Somers (University of East Anglia and University of Manchester Institute of Science and Technology)London: Academic Press, 1992, xxi + 362 pp. Hardb
UPenn - CIS - 610
Chapter 8 A Detour On Fractals8.1 Iterated Function Systems and FractalsA pleasant application of the Hausdor distance and of the xed point theorem for contracting mappings is a method for dening a class of self-similar fractals. For this, we can
UPenn - CIS - 610
Chapter 5 Lie Groups, Lie Algebras and the Exponential Map5.1 Lie Groups and Lie AlgebrasIn Chapter 2, we dened the notion of a Lie group as a certain type of manifold embedded in RN , for some N 1. Now that we have the general concept of a manif
UPenn - CIS - 610
Chapter 7 Geodesics on Riemannian Manifolds7.1 Geodesics, Local Existence and UniquenessIf (M, g) is a Riemannian manifold, then the concept of length makes sense for any piecewise smooth (in fact, C 1) curve on M . Then, it possible to dene the s
UPenn - CIS - 610
Chapter 6 The Classication Theorem for Compact Surfaces6.1 Cell ComplexesIt is remarkable that the compact (two-dimensional) polyhedras can be characterized up to homeomorphism. This situation is exceptional, as such a result is known to be essent
UPenn - CIS - 610
Chapter 4 The Fundamental Group, Orientability4.1 The Fundamental GroupIf we want to somehow classify surfaces, we have to deal with the issue of deciding when we consider two surfaces to be equivalent. It seems reasonable to treat homeomorphic su
UPenn - CIS - 610
Chapter 4 Polyhedra and Polytopes4.1 Polyhedra, H-Polytopes and V-PolytopesThere are two natural ways to dene a convex polyhedron, A: (1) As the convex hull of a nite set of points. (2) As a subset of En cut out by a nite number of hyperplanes, mo
UPenn - CIS - 511
Chapter 8 Phrase-Structure Grammars and Context-Sensitive Grammars8.1 Phrase-Structure GrammarsContext-free grammars can be generalized in various ways. The most general grammars generate exactly the recursively enumerable languages. Between the c
UPenn - CIS - 610
Chapter 4 Basics of Classical Lie Groups: The Exponential Map, Lie Groups, and Lie AlgebrasLe rle prpondrant de la thorie des groupes en mathmatiques a t longtemps o e e e e ee insouponn; il y a quatre-vingts ans, le nom mme de groupe tait ignor. Ce
UPenn - CIS - 511
Chapter 6 Elementary Recursive Function Theory6.1 Acceptable IndexingsIn a previous Section, we have exhibited a specic indexing of the partial recursive functions by encoding the RAM programs. Using this indexing, we showed the existence of a uni
UPenn - CIS - 610
Chapter 4 Manifolds, Tangent Spaces, Cotangent Spaces, Vector Fields, Flow, Integral Curves4.1 ManifoldsIn Chapter 2 we dened the notion of a manifold embedded in some ambient space, RN . In order to maximize the range of applications of the theor
UPenn - CIS - 610
Chapter 8 The Log-Euclidean Framework Applied to SPD Matrices and Polyane Transformations8.1 IntroductionIn this Chapter, we use what we have learned in previous chapters to describe an approach due to Arsigny, Fillard, Pennec and Ayache to dene a
UPenn - CIS - 610
Chapter 6 Riemannian Manifolds and Connections6.1 Riemannian MetricsFortunately, the rich theory of vector spaces endowed with a Euclidean inner product can, to a great extent, be lifted to various bundles associated with a manifold. The notion of
UPenn - CIS - 610
Chapter 4 Partial Orders, Lattices, Well Founded Orderings, Equivalence Relations, Distributive Lattices, Boolean Algebras, Heyting Algebras4.1 Partial OrdersThere are two main kinds of relations that play a very important role in mathematics and
UPenn - CIS - 610
Chapter 2 Relations, Functions, Partial Functions2.1 What is a Function?We use functions all the time in Mathematics and in Computer Science. But, what exactly is a function? Roughly speaking, a function, f , is a rule or mechanism, which takes in
UPenn - STAT - 102
Homework 1Spring 2007(HW for Sections 2 & 3 (Zhao) is due in class on Jan. 16th and for Section1 is due in class on Jan. 17th.)Read: Chapter 2: Sections 2.1 through 2.7 should be review. Sections 2.8 & 2.9 may be newWritten HW: Problems 2.25,
UPenn - STAT - 102
Statistics 102Lecture 2L. Brown & L. ZhaoSpring 2007Tests and Confidence Intervals for Two MeansRead: Sections 2.7 and 2.8 of Dielman Do advertisements help to increase store sales? Data from two independent samples Analysis assuming equal
UPenn - STAT - 102
Department of Statistics The Wharton School University of Pennsylvania Statistics 102L. Brown & L. ZhaoSpring 2007Administrative IssuesWeb site www-stat.wharton.upenn.edu/~stat102 TEXT: Dielman, T. Applied Regression Analysis Fourth Edition,
UPenn - STAT - 542
Stat 542 Homework 1 - Due Thursday, February 12th at 10:30am You are required to submit a hard copy document in class with answers to the following questions. This document must be generated using the LaTeX typesetting language. It should also includ
UPenn - STAT - 430
STAT 430SyllabusFall 2008Statistics 430: ProbabilityMW 12:00-1:30, 1:30-3:00 @ JMHH F50Professor: T. Tony Cai, tcai@wharton.upenn.edu, Oce: JMHH 469. Oce hours: Tuesday 9:15 - 11:00am. Teaching Assistant: Dongyu Lin, dongyu@wharton.upenn.edu
UPenn - PHYS - 151
Physics 151Electric ChargeCoulombs Law of ForceElectric FieldsGausss Law Electric Potenial CapicitanceElectric CurrentConductors DC Electric CircuitsMagnetic FieldsBiot-Savart Law and Amperes Law Inductance and Faradays LawElectromagneti
UPenn - ASTRO - 12
Recommended exercises pre-Test 1Galaxy formationConsider a spherical and homogeneous proto galactic cloud of mass M = 6 1011 Msolar , radius R = 100 Kpc. Write the expression for the free fall time as a function of its mass and radius. Evaluate th
UPenn - ASTRO - 12
EBSCOhost04/17/2006 10:44 PMBack8 page(s) will be printed.Record: 1 Title: READING THE BLUEPRINTS of CREATION. Authors: Strauss, Michael A.1 Source: Scientific American; Feb2004, Vol. 290 Issue 2, p54-61, 8p, 1 graph, 11c Document Type: Artic
UPenn - P - 622
Introduction to Elementary Particle PhysicsPhysics 622, Fall 2002Physics 622, Introduction to Elementary Particle Physics, will be oered in Fall 2002. This course is recommended for both theory and experimental students in particle physics. The co
UPenn - PHPQUEBEC - 2007
Leveraging the Power of Oracle with PHPTaking Advantage of the Database PHP Quebec 2007Roberto Mansfield University of Pennsylvania School of Arts & SciencesDisclaimerI really like MySQL. I'm not bashing MySQL. Some of my best projects use M
UPenn - P - 00
Multi-Component TAG and Notions of Formal PowerInst. for Research in Cognitive Science University of Pennsylvania Suite 400A, 3401 Walnut Street fschuler,dchiangg@linc.cis.upenn.edu Philadelphia, PA 19104-6228madras@linc.cis.upenn.eduWilliam Schu
UPenn - C - 90
Expressive Power of Grammatical FormalismsAlexis Manaster-Ramer & Wlodek Zadrozny IBM Research T. J. Wat~n Research Center Yorktown Heights, NY 10598 AMR @ IBM.COM WLODZ @ IBM.COMAbstractWe propose formalisms and concepts which allow to make prec
UPenn - C - 96
The Powerof W o r d s Michaelin M e s s a g e ZockPlanningLanguage & Cognition LIMSI - C.N.R.S., B.P. 133 91403 Orsay, France zock@|imsi.frAbstract: Before engaging in a conversation, a message must be planned. While there are many ways to
UPenn - J - 89
A PARSING ALGORITHM FOR UNIFICATION GRAMMAR Andrew HaasD e p a r t m e n t of C o m p u t e r Science State University of N e w York at A l b a n y A l b a n y , N e w York 12222We describe a table-driven parser for unification grammar that combin
UPenn - C - 90
Sentencedisambiguation by document preference setsorientedHirohito INAGAKI, Sueharu MIYAHARA, Tohru NAKAGAWA, and Fumihiko OBASHI NTT Human Interface Laboratories NTT Intelligent Technology Co.,Ltd. 1-2356, Take , Yokosuka-Shi, 223-1,Yamashita-
UPenn - C - 90
project note with software demonstrationA p a r s e r without a dictionary as a tool for research into F r e n c h s y n t a xJacques VERGNELIMSI 29 rue Titon F-75011 Paris FranceA natural languagelanguageis nota formalThat is why the s
UPenn - C - 69
COMPUTER-AIDED RESEARCH ON SYNONYMY AND ANTONYMY *H. P. Edmundson University of Maryland, College Park, Md., U.S.A. and Martin N. Epstein National Institutes of Health, Bethesda, Md., U.S.A.AbstractThis research is a continuation of that report
UPenn - C - 80
PROCESSING OF SYNTAX AND SEMANTICS OF NATURAL LANGUAGE BY PREDICATE LOGIC Hiroyuki YamauchiInstitute of Space and Aeronautical Science, University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153, JapanSummary The syntax and semantic analyses of natur
UPenn - P - 84
The Design of a Computer Language for Linguistic InformationStuart M. ShieberArtificial Intelligence Center SRI International and Center for the Study of Language and Information Stanford UniversityAbstractA considerable body of accumulated know
UPenn - J - 91
The Generative Power of Categorial Grammars and Head-Driven Phrase Structure Grammars with Lexical RulesBob C a r p e n t e r * Carnegie Mellon UniversityIn this paper, it is shown that the addition of simple and linguistically motivated forms of
UPenn - P - 01
Constraints on strong generative powerDavid Chiang University of Pennsylvania Dept of Computer and Information Science 200 S 33rd St Philadelphia, PA 19104 USA dchiang@cis.upenn.edu AbstractWe consider the question How much strong generative power
UPenn - H - 92
Minimizing Speaker Variation Effects for Speaker-Independent Speech RecognitionXuedong HuangSchool of Computer Science Carnegie Mellon University Pittsburgh, PA 15213ABSTRACT For speaker-independent speech recognition, speaker variation is one of
UPenn - H - 92
Applying SPHINX-II to the DARPA Wall Street Journal CSR TaskF. Alleva, H. Hon, X. Huang, M. Hwang, R. Rosenfeld, R. WeideSchool o f Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 15213ABSTRACTThis paper reports recent effor
UPenn - C - 65
161965 International Conference on Computational LinguisticsSETS O F G R A M M A R SBETWEENCONTEXT-FREEA N D CONTEXT-SENSITIVEPeter KugelTechnical Operations Research South Avenue Burlington, Mass. U.S.A.,:;~''e/%,'#.A B S
UPenn - H - 93
An Overview of the SPHINX-II Speech Recognition SystemXuedong Huang, Fileno Alleva, Mei-Yuh Hwang, and Ronald RosenfeldSchool of Computer Science Carnegie Mellon University Pittsburgh, PA 15213ABSTRACTIn the past year at Carnegie Mellon steady p
UPenn - T - 87
On Formal Versus CommonsenseDavid Israel AI Center and CSLI SRI InternationalSemanticsThere is semantics and, on the other hand, there is seraan~ics. And then there is the theory of meaning or content. I shall speak of pure mathematical semantic
UPenn - H - 89
ACOUSTICAL PRE-PROCESSING FOR ROBUST SPEECH RECOGNITION Richard M. Stern and Alejandro Acero 1 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 ABSTRACTIn this paper we describe our initial efforts to make SPHINX, the CMU c
UPenn - H - 90
E x p e r i m e n t s with T r e e - S t r u c t u r e d Encoders on the R M TaskSpeech Systems Incorporated 18356 Oxnard Street Tarzana, California 91356MMIMark T. Anikst, William S. Meisel, Matthew C. StaresKai-Fu LeeCarnegie Mellon Univers
UPenn - E - 03
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