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UPenn | J 01
 
 

28 sample documents related to J 01

  • UPenn J 01
    Computational Linguistics Volume 27, Number 4 Parallel Text Processing: Alignment and Use of Translation Corpora Jean V4ronis (editor) (Universit~ de Provence) Dordrecht: Kluwer Academic Publishers (Text, speech and language technology series, edit
     
  • UPenn J 01
    Jd March 2001 Volume 27, Number I Computational Linguistics Articles Using Suffix Arrays to Compute Term Frequency and Document Frequency for All Substrings in a Corpus Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation Bootstrap
     
  • UPenn J 01
    December 2001 Volume 27, Number 4 Computational Linguistics Special Issue on C o m p u t a t i o n a l A n a p h o r a R e s o l u t i o n Introduction to the Special Issue on Computational Anaphora Resolution Ruslan Mitkov, Branimir Boguraev, and
     
  • UPenn J 01
    June 2001 Volume 27, Number 2 Computational Linguistics Articles Unsupervised Learning of the Morphology of a Natural Language Improving Accuracy in Word Class Tagging through the Combination of Machine Learning Systems The Need for Accurate Alignm
     
  • UPenn J 01
    S e p t e m b e r 2001 V o l u m e 27, N u m b e r 3 Computational Linguistics Articles The Interaction of Knowledge Sources in Word Sense Disambiguation A Statistical Model for Word Discovery in Transcribed Speech Automatic Verb Classification Bas
     
  • UPenn J 01
    Book Reviews Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval W. Bruce Croft (editor} (University of Massachusetts, Amherst) Dordrecht: Kluwer Academic Publishers (The Kluwer international ser
     
  • UPenn J 01
    The Need for Accurate Alignment in Natural Language System Evaluation Andrew Kehler* UC San Diego John Bear* SRI International Douglas Appelt* SRI International As evaluations of computational linguistics technology progress toward higher-level in
     
  • UPenn J 01
    Computational Linguistics Volume 27, Number 2 Pattern Grammar: A Corpus-Driven Approach to the Lexical Grammar of English Susan Hunston and Gill Francis (University of Birmingham) Amsterdam: John Benjamins (Studies in corpus linguistics, edited by
     
  • UPenn J 01
    Book Reviews Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language Lucja M. Iwaflska and Stuart C. Shapiro (editors) (Wayne State University and State University of New York at Buffalo) Menlo Par
     
  • UPenn J 01
    Book Reviews The Significance of Word Lists Brett Kessler (Wayne State University) Stanford, CA: CSLI Publications (Dissertations in linguistics, edited by Joan Bresnan, Sharon Inkelas, and Peter Sells), 2001, x+277 pp; distributed by the University
     
  • UPenn J 01
    Computational Linguistics Volume 27, Number 1 Construing Experience through Meaning: A Language-based Approach to Cognition M. A. K. Halliday and Christian M. I. M. Matthiessen London: Cassell (Open linguistics series, edited by Robin Fawcett), 199
     
  • UPenn J 01
    Probabilistic Top-Down Parsing and Language Modeling Brian Roark* Brown University This paper describes the functioning of a broad-coverageprobabilistic top-down parser, and its application to the problem of language modeling for speech recognition.
     
  • UPenn J 01
    Computational Linguistics Volume 27, Number 1 The Syntactic Process Mark Steedman (University of Edinburgh) Cambridge, MA: The MIT Press (Language, speech, and communication series), 2000, xiv+330 pp; hardbound, ISBN 0-262-19420-1, $35.00 Reviewe
     
  • UPenn J 01
    Improving Accuracy in Word Class Tagging through the Combination of Machine Learning Systems Hans van Halteren* TOSCA/Language & Speech, University of Nijmegen Jakub Zavrel t Textkernel BV, University of Antwerp Walter Daelemans~ CNTS/Language Tech
     
  • UPenn J 01
    Book Reviews Lexicon Development for Speech and Language Processing Frank Van Eynde and Dafydd Gibbon (editors) (University of Leuven and University of Bielefeld) Dordrecht: Kluwer Academic Publishers (Text, speech and language technology series, ed
     
  • UPenn J 01
    Computational Linguistics Volume 27, Number 2 Learnability 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 01
    Book Reviews Advances in Probabilistic and Other Parsing Technologies Harry Bunt and Anton Nijholt (editors) (Tilburg University and University of Twente) Dordrecht: Kluwer Academic Publishers (Text, speech and language technology series, edited by
     
  • UPenn J 01
    A Statistical Model for Word Discovery in Transcribed Speech Anand Venkataraman* A statistical model/or segmentation and word discovery in continuous speech is presented. An incremental unsupervised learning algorithm to infer word boundaries based
     
  • UPenn J 01
    Squibs and Discussions Unsupervised Named Entity Recognition Using Syntactic and Semantic Contextual Evidence A l e s s a n d r o Cucchiarelli* Universita di Ancona Paola Velardi t Universit~i di Roma \'La Sapienza\' Proper nouns form an open class,
     
  • UPenn J 01
    A Reformulation of Rule 2 of Centering Theory Rodger Kibble* Goldsmiths College The standard preference ordering on the well-known centering transitions Continue, Retain, Shift is argued to be unmotivated: a partial, context-dependent ordering emerg
     
  • UPenn J 01
    Computational Linguistics Volume 27, Number 3 Presumptive Meanings: The theory of generalized conversational implicature Stephen C. Levinson (Max Planck Institute for Psycholinguistics, Nijmegen) Cambridge, MA: The MIT Press (Language, speech, and
     
  • UPenn J 01
    Using Suffix Arrays to Compute Term Frequency and Document Frequency for All Substrings in a Corpus Mikio Yamamoto* University of Tsukuba Kenneth W. Churcht AT&T Labs-Research Bigrams and trigrams are commonly used in statistical natural language p
     
  • UPenn J 01
    Briefly Noted Automatic Indexing and Abstracting of Document Texts Marie-Francine Moens (Katholieke Universiteit Leuven) Dordrecht: Kluwer Academic Publishers (The Kluwer international series on information retrieval, edited by W. Bruce Croft), 2000,
     
  • UPenn J 01
    Unsupervised Learning of the Morphology of a Natural Language John Goldsmith* University of Chicago This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of
     
  • UPenn J 01
    Publications Received Books listed below that are marked with a have been selected for review in a future issue, and reviewers have been assigned to each. Authors and publishers who wish their publications to be considered for review in Computational
     
  • UPenn J 01
    evolutionary Darrell Whitley, Editor in C h i e f Highlights from Volume 9 Thomas B~ick Richard K. Bele~ StePhanie Fattest Tetsuya Hlguchi Riccardo Poll Peter Ross David Schaffer Robert E Smith Michael Pose Learning tO Solve Planning Problems ERici
     
  • UPenn J 01
    Briefly Noted The Structure of Multimodal Dialogue II M. Martin Taylor, Fran~oise N~el, and D. G. Bouwhuis (editors) (Defence and Civil Institute of Environmental Medicine, Toronto, L1MSI-CNRS, Orsay, and IPO, Eindhoven) Amsterdam: John Benjamins Pub
     
  • UPenn J 01
    Book Reviews Knowledge Representation: Logical, Philosophical, and Computational Foundations John E Sowa Pacific Grove, CA: Brooks/Cole, 2000, xiv+594 pp; hardbound, ISBN 0-534-94965-7, $67.95 Reviewed by Stuart C. Shapiro University at Buffalo, The
     
 
 
 
 
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