Grammatical Inference: Algorithms and Applications: 6th International Colloquium, ICGI 2002 Amsterdam, The Netherlands, September 23–25, 2002 Proceedings PDF
Preview Grammatical Inference: Algorithms and Applications: 6th International Colloquium, ICGI 2002 Amsterdam, The Netherlands, September 23–25, 2002 Proceedings
Lecture Notes in Artificial Intelligence 2484 SubseriesofLectureNotesinComputerScience EditedbyJ.G.CarbonellandJ.Siekmann Lecture Notes in Computer Science EditedbyG.Goos,J.Hartmanis,andJ.vanLeeuwen 3 Berlin Heidelberg NewYork Barcelona HongKong London Milan Paris Tokyo Pieter Adriaans Henning Fernau Menno van Zaanen (Eds.) Grammatical Inference: Algorithms and Applications 6th International Colloquium, ICGI 2002 Amsterdam,TheNetherlands,September23-25,2002 Proceedings 1 3 SeriesEditors JaimeG.Carbonell,CarnegieMellonUniversity,Pittsburgh,PA,USA Jo¨rgSiekmann,UniversityofSaarland,Saarbru¨cken,Germany VolumeEditors PieterAdriaans SeniorResearchAdvisor,PerotSystemsNederlandB.V. Hoefseweg1,3821AEAmersfoort,TheNetherlands ProfessorofLearningandAdaptiveSystems,UniversiteitvanAmsterdam ILLC/ComputationandComplexityTheory,PlantageMuidergracht24 1018TVAmsterdam,TheNetherlands,E-mail:[email protected] HenningFernau UniversityofNewcastle,SchoolofElectricalEngineeringand ComputerScience,UniversityDrive,Callaghan,NSW2308,Australia E-mail:[email protected] Wilhelm-Schickard-InstitutfürInformatik,UniversitätTübingen Sand13,72076Tübingen,Germany,E-mail:[email protected] MennovanZaanen FNWI/ILLC,CognitiveSystemsandInformationProcessingGroup UniversiteitvanAmsterdam,RoomB-5.39,NieuweAchtergracht166 1018WVAmsterdam,TheNetherlands,E-mail:[email protected] Cataloging-in-PublicationDataappliedfor DieDeutscheBibliothek-CIP-Einheitsaufnahme Grammaticalinference:algorithmsandapplications:6thinternationalcolloquium;proceedings/ ICGI2002,Amsterdam,TheNetherlands,September23-25,2002.PieterAdriaans...(ed.).- Berlin;Heidelberg;NewYork;HongKong;London;Milan;Paris;Tokyo:Springer,2002 (Lecturenotesincomputerscience;Vol.2484:Lecturenotesinartificialintelligence) ISBN3-540-44239-1 CRSubjectClassification(1998):I.2,F.4,F.3 ISSN0302-9743 ISBN3-540-44239-1Springer-VerlagBerlinHeidelbergNewYork Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting, reproductiononmicrofilmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965, initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer-Verlag.Violationsare liableforprosecutionundertheGermanCopyrightLaw. Springer-VerlagBerlinHeidelbergNewYork amemberofBertelsmannSpringerScience+BusinessMediaGmbH http://www.springer.de ©Springer-VerlagBerlinHeidelberg2002 PrintedinGermany Typesetting:Camera-readybyauthor,dataconversionbyBollerMediendesign Printedonacid-freepaper SPIN:10870596 06/3142 543210 Preface The Sixth InternationalColloquiumonGrammaticalInference (ICGI2002)was held in Amsterdam on September 23-25th, 2002. ICGI2002 was the sixth in a seriesofsuccessfulbiennialinternationalconferencesontheareaofgrammatical inference. Previous meetings were held in Essex, U.K.; Alicante, Spain; Mont- pellier, France; Ames, Iowa, USA; Lisbon, Portugal. This series of meetings seeks to provide a forum for the presentation and discussion of original research on all aspects of grammatical inference. Gram- matical inference, the process of inferring grammars from given data, is a field that not only is challenging from a purely scientific standpoint but also finds many applications in real-worldproblems. Despite the fact that grammatical inference addresses problems in a rela- tively narrow area, it uses techniques from many domains, and is positioned at the intersectionof a number of different disciplines. Researchersin grammatical inference come from fields as diverse as machine learning, theoretical computer science, computationallinguistics, pattern recognition,andartificial neuralnet- works. From a practical standpoint, applications in areas like natural language ac- quisition, computationalbiology,structuralpatternrecognition,informationre- trieval, text processing, data compression and adaptive intelligent agents have either been demonstrated or proposed in the literature. The technical programincluded the presentation of 23 accepted papers (out of 41 submitted). Moreover,for the first time a software presentation was orga- nized at ICGI. Short descriptions of the corresponding software are included in these proceedings, too. We would like to thank the members of the technical program committee and the reviewers for their careful evaluation of the submissions, the members of the local organizing committee, Menno van Zaanen, Marjan Veldhuisen, and Marco Vervoort for their help in setting up the event, the invaluable secretarial support, and updating the website. July 2002 Pieter Adriaans Technical Program Committee Pieter Adriaans, Perot Systems Corporation/Universityof Amsterdam, The Netherlands (Chair) Dana Angluin, , Yale University, USA Jerry Feldman, ICSI, Berkeley, USA Henning Fernau, University of Newcastle, Australia Colin de la Higuera, EURISE, University of St. Etienne, France Vasant Honavar, Iowa State University, USA Dick de Jongh, University of Amsterdam, The Netherlands Makoto Kanazawa,University of Tokyo, Japan Laurent Miclet, ENSSAT, Lannion, France G. Nagaraja,Indian Institute of Technology, Mumbai, India Arlindo Oliveira, Lisbon Technical University, Portugal Jose Oncina Carratala, University of Alicante, Spain Rajesh Parekh, Blue Martini, USA Yasubumi Sakakibara, Tokyo Denki University, Japan Arun Sharma, University of New South Wales, Australia Esko Ukkonen, University of Helsinki, Finland Enrique Vidal, U. Polit´ecnica de Valencia, Spain Takashi Yokomori, Waseda University, Japan Menno van Zaanen, University of Amsterdam, The Netherlands Thomas Zeugmann, University of Lu¨beck, Germany Organizing Committee Pieter Adriaans (Chair) Henning Fernau (Co-chair) Menno van Zaanen (Local organizationand demo session) Marjan Veldhuisen (Secretariat) Additional Reviewers Marc Bernard Stephan Chalup Philippe Ezequel Jean-Christophe Janodet Table of Contents Contributions Inference of Sequential Association Rules Guided by Context-Free Grammars ........................................................ 1 C.M. Antunes, A.L. Oliveira PCFG Learning by Nonterminal Partition Search ...................... 14 A. Belz Inferring Subclasses of Regular Languages Faster Using RPNI and Forbidden Configurations ........................................... 28 A. Cano, J. Ruiz, P. Garc´ıa Beyond EDSM .................................................... 37 O. Cicchello, S.C. Kremer Consistent Identification in the Limit of Rigid Grammars from Strings Is NP-hard........................................................ 49 C. Costa Florˆencio Some Classes of Regular Languages Identifiable in the Limit from Positive Data...................................................... 63 F. Denis, A. Lemay, A. Terlutte Learning Probabilistic Residual Finite State Automata ................. 77 Y. Esposito, A. Lemay, F. Denis, P. Dupont Fragmentation: Enhancing Identifiability.............................. 92 H. Fernau On Limit Points for Some Variants of Rigid Lambek Grammars.......... 106 A. Foret, Y. Le Nir Generalized Stochastic Tree Automata for Multi-relational Data Mining .. 120 A. Habrard, M. Bernard, F. Jacquenet On Sufficient Conditions to Identify Classes of Grammars from Polynomial Time and Data.......................................... 134 C. de la Higuera, J. Oncina Stochastic Grammatical Inference with Multinomial Tests............... 149 C. Kermorvant, P. Dupont Learning Languages with Help....................................... 161 C. Kermorvant, C. de la Higuera VIII Table of Contents Incremental Learning of Context Free Grammars....................... 174 K. Nakamura, M. Matsumoto Estimating Grammar Parameters Using Bounded Memory .............. 185 T. Oates, B. Heeringa Stochastic k-testable Tree Languages and Applications.................. 199 J.R. Rico-Juan, J. Calera-Rubio, R.C. Carrasco Fast Learning from Strings of 2-Letter Rigid Grammars................. 213 Y. Seginer Learning Locally Testable Even Linear Languages from Positive Data .... 225 J.M. Sempere, P. Garc´ıa Inferring Attribute Grammars with Structured Data for Natural Language Processing ............................................... 237 B. Starkie A PAC Learnability of Simple Deterministic Languages................. 249 Y. Tajima, M. Terada On the Learnability of Hidden Markov Models......................... 261 S.A. Terwijn Shallow Parsing Using Probabilistic Grammatical Inference.............. 269 F. Thollard, A. Clark Learning of Regular Bi-ω Languages.................................. 283 D.G. Thomas, M. Humrosia Begam, K.G. Subramanian, S. Gnanasekaran Software Descriptions The EMILE 4.1 Grammar Induction Toolbox.......................... 293 P. Adriaans, M. Vervoort Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages ............................................. 296 S.K. Chalup, A.D. Blair A Framework for Inductive Learning of Typed-Unification Grammars..... 299 L. Ciortuz A Tool for Language Learning Based on Categorial Grammars and Semantic Information............................................... 303 D. Dudau Sofronie, I. Tellier, M. Tommasi ‘NAIL’: Artificial Intelligence Software for Learning Natural Language.... 306 S. Lievesley, E. Atwell Table of Contents IX LyrebirdTM: Developing Spoken Dialog Systems Using Examples......... 309 B. Starkie, G. Findlow, K. Ho, A. Hui, L. Law, L. Lightwood, S. Michnowicz, C. Walder Implementing Alignment-Based Learning ............................. 312 M. van Zaanen Author Index ................................................. 315
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