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Machine-Readable Dictionaries and Computational Linguistics Research

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Current Issues in Computational Linguistics: In Honour of Don Walker

Part of the book series: Linguistica Computazionale ((LICO,volume 9))

Abstract

A substantial amount of work has gone into attempts to provide computational solutions to a wide range of problems which rely on information extracted from machine-readable dictionaries (MRDs). Syntactic parsing, grammar development, word sense selection, speech synthesis, robust text interpretation, knowledge acquisition, information management, phonetically guided lexical access, phrasal analysis — these are only a few of the language processing functions which have been substantially aided by the availability of large dictionaries on-line. The paper looks at representative examples from this list and analyses them within a framework which aims to establish broad categories within computational linguistics to which MRDs have been (or could be) applied, and modes of their use. In addition to questions to do with the nature of the coupling between the contents of a dictionary entry and the task to which this is applied, I will use the same case studies to address a class of issues at a different level of generality — these include the reliability of an MRD from an application’s point of view, the cost of extracting the information relevant to a computer program, and the optimal structure and organisation of a machine-readable source.

This paper was written, upon Don Walker’s request, for an international workshop on “Automating the Lexicon: Theory and Practice”, which took place in 1986 in Grosseto, Italy. The workshop was a culmination of several years of effort, primarily and largely on Don’s part, to bring together researchers from many disciplines concerned with a range of matters and issues lexical, and to define a broad platform for lexical research. It can hardly be said that this is where the lexicon was recognised as an important component in the larger framework of computational linguistics/natural language processing. It is certainly true, however, that it was at this meeting that, among other things, the foundation was laid to what today is generically referred to as computational lexicology and, more specifically, automated lexicon acquisition from machine-readable sources. The original paper is reprinted here, with a grateful acknowledgement to Oxford University Press, in a somewhat revised and edited form. However, the changes in the field since the Grosseto meeting have been so profound, that incorporating them in the body of the paper would have been impossible without substantial modification. Instead, a brief perspective reflecting the developments since 1986 is available in the appendix of this paper.

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References

  1. Ahlswede, Thomas., “A Linguistic String Grammar of Adjective Definitions from Webster’s Seventh Collegiate Dictionary”, MS Thesis, Illinois Institute of Technology, Chicago, Illinois, 1983.

    Google Scholar 

  2. Akkerman, Erik; Masereuw, Pieter; and Meijs, Willem, “Designing a Computerised Lexicon for Linguistic Purposes”, ASCOT Report No. 1, CIP-Gegevens Koninklijke Bibliotheek, Den Haag, The Netherlands, 1985.

    Google Scholar 

  3. Alshawi, Hiyan, “Processing Dictionary Definitions with Phrasal Pattern Hierarchies”, in B. Boguraev and E. Briscoe (Eds.), Computational Lexicography for Natural Language Processing, Longman, Harlow and London, 1989.

    Google Scholar 

  4. Alshawi, Hiyan; Boguraev, Branimir; and Briscoe, Ted, “Towards a Lexicon Support Environment for Real Time Parsing”, Proceedings of the Second Conference of the European Chapter of the Association for Computational Linguistics, pp.171–178, Geneva, 1985.

    Google Scholar 

  5. Amsler, Robert, “The Structure of the Merriam-Webster Pocket Dictionary”, Ph.D. Thesis, University of Texas, Austin, Texas, 1980.

    Google Scholar 

  6. Amsler, Robert, “Experimental Research on Knowledge Representation for Lexical Disambiguation of Full-Text Sources”, Research Proposal for the NSF, SRI International, Menlo Park, California, 1983.

    Google Scholar 

  7. Amsler, Robert, “Machine-Readable Dictionaries”, in Martha E. Williams (Ed.), Annual Review of Information Science and Technology (ARIST), published by the American Society for Information Science, 19, 1984a.

    Google Scholar 

  8. Amsler, Robert, “Lexical Knowledge Bases”, panel session on Machine-Readable Dictionaries, in Proceedings of the Tenth International Congress on Computational Linguistics, pp. 458–459, Stanford, CA, 1984b.

    Google Scholar 

  9. Atwell, Eric; Leech, Geoffrey; and Garside, Roger, J. Aarts and W. Meijs (Eds.), “Analysis of the LOB Corpus: Progress and Prospects”, in Corpus Linguistics: Recent Developments in the Use of Computer Corpora in English Language Research, Rodopi (Costerus. New Series; Vol. 45), Amsterdam, 1984.

    Google Scholar 

  10. Ballard, Bruce and Biermann, Alan, “Workshop on Transportable Natural Language Interfaces”, Duke University, October, 1984, presentations published in a special issue of ACM Transactions on Office Information Systems, April, 1985.

    Google Scholar 

  11. Bell, Colin and Jones, Kevin, “Back-of-the-Book Indexing: A Case for the Application of Artificial Intelligence”, in M. MacCaffery and K. Gray (Eds.), Informatics 5: The Analysis of Meaning, Proceedings of a conference held by the Aslib Informatics Group and the BCS Information Information Retrieval Specialist Group, Oxford, UK, March 1979.

    Google Scholar 

  12. Bobrow, Robert and Webber, Bonnie, “Knowledge Representation for Syntactic/Semantic Processing”, in Proceedings of the First National Conference on Artificial Intelligence, pp. 316–323, Stanford, California, 1980.

    Google Scholar 

  13. Boguraev, Branimir, “Automatic Resolution of Linguistic Ambiguities”, Ph.D. Dissertation, also available as Technical Report No. 11, Computer Laboratory, University of Cambridge, Cambridge, 1980.

    Google Scholar 

  14. Boguraev, Branimir; Carroll, John; Pulman, Steve; Russell, Graham; Ritchie, Graeme; Black, Alan; Briscoe, Ted; and Grover, Claire, “The Lexical Component of a Natural Language Toolkit”, paper presented at An International Workshop on Automating the Lexicon, Grosseto, Italy, 1986.

    Google Scholar 

  15. Boguraev, Branimir; Copestake, Ann; and Sparck Jones, Karen, “Inference in Natural Language Front Ends for Databases”, in E. Meersman, and J. Sowa (Eds.), Knowledge and Data: Proceedings of IFIP WG 2.6 Working Conference North-Holland, Amsterdam, 1988.

    Google Scholar 

  16. Boguraev, Branimir and Sparck Jones, Karen, “How to Drive a Database Front End Using General Semantic Information”, in Proceedings of a Conference on Applied Natural Language Processing, Santa Monica, California, pp.:81–89, 1983.

    Google Scholar 

  17. Boguraev, Branimir and Briscoe, Ted, “Large Lexicons for Natural Language Processing: Exploiting the Grammar Coding System of LDOCE”. Computational Linguistics, 13 (3–4), 1987.

    Google Scholar 

  18. Brachman, Ronald and Schmolze, James, “An Overview of the KL-ONE Knowledge Representation System”, Cognitive Science, 9 (2) pp. 171–216, 1985.

    Article  Google Scholar 

  19. Briscoe, Ted, “Report of a Dictionary Syndicate”, in Proceedings of an Alvey Speech Club Workshop, Warwick University, July 1985.

    Google Scholar 

  20. Byrd, Roy, “Word Formation in Natural Language Processing Systems”, in Proceedings of Eighth International Joint Conference on Artificial Intelligence, pp. 704–706, Karlsruhe, Germany, 1983.

    Google Scholar 

  21. Byrd, Roy, “Dictionary Systems for Office Practice”, paper presented at An International Workshop on Automating the Lexicon, Grosseto, Italy, 1986.

    Google Scholar 

  22. Byrd, Roy and Chodorow, Martin, “Using an On-line Dictionary to Find Rhyming Words and Pronunciations for Unknown Words”, in Proceedings of the 23rd Annual Meeting of the Association for Computational Linguistics, pp. 277–283, Chicago, Illinois, 1985.

    Chapter  Google Scholar 

  23. CSLI Monthly, “Report of Research Activities”, a monthly publication of the Center for the Study of Language and Information, 1 ( 1 ), Stanford University, Stanford, California, 1986.

    Google Scholar 

  24. Calzolari, Nicoletta, “Lexical Definitions in a Computerised Dictionary”, Computers and Artificial Intelligence, 2 (3), 1983.

    Google Scholar 

  25. Calzolari, Nicoletta, “Detecting Patterns in a Lexical Database”, in Proceedings of the Tenth International Congress on Computational Linguistics, pp. 170–173, Stanford, California, 1984a.

    Google Scholar 

  26. Calzolari, Nicoletta, “Machine-Readable Dictionaries, Lexical Data Bases and the Lexical System”, panel session on Machine-Readable Dictionaries, Proceedings of the Tenth International Conference on Computational Linguistics, p. 460, Stanford, California, 1984b.

    Google Scholar 

  27. Calzolari, Nicoletta and Picchi, Eugenio, Eugenio, “The Machine-Readable Dictionary as a Powerful Tool for Consulting Large Textual Archives”, in Papers from Conference on Automatic Processing of Art History Data and Documents, 1, 277–288, Pisa, 1984.

    Google Scholar 

  28. Carter, David, “A Shallow Processing Approach to Anaphor Resolution”, Technical Report No. 88, Computer Laboratory, Cambridge University, Cambridge, 1986 (also published by Ellis Horwood, Chichester, England, 1988 ).

    Google Scholar 

  29. Cater, Arthur, “Conceptual Primitives and Their Metaphorical Relationships”, in E. Reilly (Ed.), Communication Failure in Dialogue, North Holland, Amsterdam, 1987.

    Google Scholar 

  30. Chodorow, Martin; Byrd, Roy; and Heidorn, George, “Extracting Semantic Hierarchies from a Large On-Line Dictionary”, in Proceedings of the 23rd Annual Meeting of the Association for Computational Linguistics, pp. 299–304, Chicago, Illinois, 1985.

    Chapter  Google Scholar 

  31. Church, Kenneth, “Stress Assignment in Letter to Sound Rules for Speech Synthesis”, in Proceedings of the 23rd Annual Meeting of the Association for Computational Linguistics, pp. 246–253, Chicago, Illinois, 1985.

    Chapter  Google Scholar 

  32. Cottrell, Garrison and Small, Steven, “A Connectionist Scheme for Modelling Word Sense Disambiguation”, Cognition and Brain Theory, 6 (1), 89–120, 1983.

    Google Scholar 

  33. Cowie, James, “Automatic Analysis of Descriptive Texts”, in Proceedings of Conference on Applied Natural Language Processing, pp. 117–123, Santa Monica, California, 1983.

    Chapter  Google Scholar 

  34. Cumming, Susanna, “A Guide to Lexical Acquisition in the JANUS System”, ISI Research Report ISURR-85–162, Information Sciences Institute, Marina del Rey, California, 1986a.

    Google Scholar 

  35. Cumming, Susanna, “The Distribution of Lexical Information in Text Generation”, in this volume.

    Google Scholar 

  36. Domenig, Marc and Shann, Patrick, “Towards a Dedicated Database Management System for Dictionaries”, in Proceedings of the 11th International Conference on Computational Linguistics, pp. 91–96, Bonn, Germany, 1986.

    Google Scholar 

  37. Fawthrop, David and Yannakoudakis, E.J., “An Intelligent Spelling Error Corrector”, Information Processing and Management, 19 (2), 101–108, 1983.

    Article  Google Scholar 

  38. Garside, Roger and Geoffrey Leech, “Grammatical Tagging of the LOB Corpus: General Survey”, in S. Johansson (Ed.), Computer Corpora in English Language Research, Norwegian Computing Centre for the Humanities, Bergen, 1982.

    Google Scholar 

  39. Gaviria, Gustavo, “Une approche pour amorcer le processus de comprehension et d’utilisation du sens des mots en langage naturel”, Centre Nacional de la Recherche Scientifique, Paris, 1983.

    Google Scholar 

  40. Gazdar, Gerald, Klein, Ewan, Pullum, Geoffrey and Sag, Ivan, Generalized Phrase Structure Grammar, Basil Blackwell Publisher Ltd., Oxford, 1985.

    Google Scholar 

  41. Grosz, Barbara and Stickel, Mark, “Research on Interactive Acquisition and Use of Knowledge”, Final Report, SRI International, Menlo Park, California, 1983.

    Google Scholar 

  42. Haas, Norman and Hendrix, Gary, “Learning by Being Told: Acquiring Knowledge for Information Management”, in R. Michalski, J. Carbonell and T. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach, Tioga Publishing Company, Palo Alto, California, 1983.

    Google Scholar 

  43. Hanks, Patrick, The Collins English Dictionary, William Collins Sons and Co. Ltd., Glasgow, 1979.

    Google Scholar 

  44. Heidorn, George; Jensen, Karen; Miller, Lance; Byrd, Roy; and Chodorow, Martin, “The EPISTLE Text-Critiquing System”, IBM Systems Journal, 21 (3), 305–326, 1982.

    Article  Google Scholar 

  45. Hirst, Graeme, Semantic Interpretation and the Resolution of Ambiguity, Cambridge University Press, Cambridge, 1987.

    Book  Google Scholar 

  46. Hornby, A.S., Oxford Advanced Learner’s Dictionary of Current English, Third Edition, Oxford University Press, Oxford, 1974.

    Google Scholar 

  47. Huttenlocher, Daniel and Zue, V, “Phonotactic and Lexical Constraints in Speech Recognition”, Proceedings of the National Conference on Artificial Intelligence, pp.172–176, Washington, D.C., 1983.

    Google Scholar 

  48. Ingria, Robert, “Lexical Information for Parsing Systems: Points of Convergence and Divergence”, in this volume.

    Google Scholar 

  49. Jackendoff, Ray, “Semantic and Morphological Regularities in the Lexicon”, Language, 51, 639–671, 1975.

    Article  Google Scholar 

  50. Jackendoff, Ray and Grimshaw, Jane, “A Key to the Verb Catalog”, unpublished mimeo, under NSF Grant IST-84–20073, Information Structure of a Natural Language Lexicon, Program in Linguistics and Cognitive Science, Brandeis University, Waltham, MA, 1985.

    Google Scholar 

  51. Johnson, Mark, “Computer Aids for Comparative Dictionaries”, Linguistics, 232, 285–302, 1985.

    Google Scholar 

  52. Johnson, Tim, Natural Language Computing: The Commercial Applications, Ovum Press Ltd., London, 1985, (revised and updated edition as Natural Language Markets: Commercial Strategies, Ovum Press, 1990 ).

    Google Scholar 

  53. Kaplan, Ronald and Bresnan, Joan, “Lexical-Functional Grammar: A Formal System for Grammatical Representation”, in J. Bresnan (Ed.), The Mental Representation of Grammatical Relations, MIT Press, Cambridge, Massachussetts, 1982.

    Google Scholar 

  54. Katz, Jerrold and Fodor, Jerry, “The Structure of a Semantic Theory”, Language, 39, 170–210, 1963.

    Article  Google Scholar 

  55. Kay, Martin, “The Dictionary Server”, panel session on Machine-Readable Dictionaries, in Proceedings of the Tenth International Conference on Computational Linguistics, p. 461, Stanford, California, 1984a.

    Google Scholar 

  56. Kay, Martin, “Functional Unification Grammar: A Formalism for Machine Translation”, in Proceedings of the Tenth International Congress on Computational Linguistics, pp. 75–79, Stanford, California, 1984b.

    Google Scholar 

  57. Kay, Martin and Kaplan, Ronald, “Phonological Rules and Finite State Transducers”, paper presented at the Annual Meeting of the Association for Computational Linguistics, New York City, 1981.

    Google Scholar 

  58. Kazman, Rick, “Structuring the Text of the Oxford English Dictionary through Finite State Transduction”, Master’s Thesis (Department of Computer Science Technical Report TR-86–20), University of Waterloo, Waterloo, Ontario, 1986.

    Google Scholar 

  59. Kirkpatrick, E. (Ed.), Chambers 20th Century Dictionary of English, New Edition, W&R Chambers Ltd., Edinburgh, 1983.

    Google Scholar 

  60. Klingbiel, Paul, “Phrase Structure Rewrite Systems in Information Retrieval”, Information Processing and Management, 21 (2), 113–126, 1985.

    Article  Google Scholar 

  61. Koskenniemi, Kimmo, “Two-level Morphology: a General Computational Model for Word-Form Recognition and Production”, Publication No. 11, University of Helsinki, Finland, 1983.

    Google Scholar 

  62. LDEL, Longman Dictionary of the English Language, Longman Group Limited, Harlow, 1984.

    Google Scholar 

  63. Lenat, Douglas; Prakash, Mayank; and Shepherd, Mary, “CYC: Using Common Sense Knowledge to Overcome Brittleness and Knowledge Acquisition Bottlenecks”, MCC Nonproprietary Technical Report AI-055–85, 1985 (also in AI Magazine, 6 (4), 65–92, Winter 1986 ).

    Google Scholar 

  64. Leonard, Rosemary, The Interpretation of English Noun Sequences on the Computer, North-Holland, Amsterdam, 1984.

    Google Scholar 

  65. Lesk, Michael, “Information in Data: Using the Oxford English Dictionary on a Computer”, summary of a Conference on Information in Data held in the Centre for the New OED, University of Waterloo, November 1985; also in ACM SIGIR Forum, 20 (12), Spring 1986a.

    Google Scholar 

  66. Lesk, Michael, “Why I Want the OED on My Computer, and When I’m Likely to Have It”, SIGCUE Newsletter, 2nd Quarter, 1986b.

    Google Scholar 

  67. McArthur, Tom, Longman Lexicon of Contemporary English, Longman Group Limited, Harlow, 1981.

    Google Scholar 

  68. McDermott, Drew, “Artificial Intelligence Meets Natural Stupidity”, SIGART Newsletter, 57, April 1976; also reprinted in John Haugeland (Ed.), Mind Design, MIT Press, Cambridge, Massachussetts, 1981.

    Google Scholar 

  69. Mark, William, “Representation and Inference in the CONSUL System”, in Proceedings of the Seventh International Joint Conference on Artificial Intelligence, pp. 375–381, Vancouver, British Columbia, 1981.

    Google Scholar 

  70. Martin, Paul; Appelt, Douglas; and Fernando Pereira, “Transportability and Generality in a Natural Language Interface System”, in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pp. 573–581, Karlsruhe, Germany, 1983.

    Google Scholar 

  71. Masterman, Margaret; Needham, Roger; Sparck Jones, Karen; and Mayoh, Bill, “AGRICOLA INCURVO TERRAM DIMOVIT ARATRO’. First Stage Translation into English with the Aid of Roget’s Thesaurus”, Report (ML84) ML92, Cambridge Language Research Unit, Cambridge, 1957.

    Google Scholar 

  72. Meijs, Willem, “Linguistically Useable Meaning Characterisations (LINKS) in the Lexicon”, Project Description, English Department, University of Amsterdam, Amsterdam, 1985.

    Google Scholar 

  73. Meijs, Willem, “Lexical Organisation from Three Different Angles”, Journal of the Association of Literary and Linguistic Computing, 13 (1), 1986.

    Google Scholar 

  74. Michiels, Archibal and Noel, Jacques, “Approaches to Thesaurus Production”, Proceedings of the 9th International Congress on Computational Linguistics, Prague, Czechoslovakia, 1982.

    Google Scholar 

  75. Michiels, Archibal, “Exploiting a Large Dictionary Data Base”, Doctoral Dissertation, University of Liege, Liege, 1982.

    Google Scholar 

  76. Michiels, Archibal, “Automatic Analysis of Texts”, in Informatics 7, Proceedings of a conference held by the Aslib Informatics Group and the Information Retrieval Group of the British Computer Society, pp.103–120, Cambridge, 1983.

    Google Scholar 

  77. Miller, George, “WordNet: A Dictionary Browser”, paper presented at the Conference on Information in Data, University of Waterloo Centre for the New OED, Ontario, Canada, 1985 (see also a special issue of International Journal of Lexicography, 3 (4), 1990 ).

    Google Scholar 

  78. Mitton, Roger, “A Partial Dictionary of English in Computer Usable Form”, Mimeo, Computer Science Department, Birkbeck College, University of London, 1986.

    Google Scholar 

  79. Moulin, André; Jaques Jansen and Archibal Michiels, “Computer Exploitation of LDOCE’s Grammatical Codes”, paper presented at a Conference on Survey of English Language, Lund, 1985.

    Google Scholar 

  80. MPD, New Merriam-Webster Pocket Dictionary, Pocket Books, New York, 1964.

    Google Scholar 

  81. Pollock, Joseph, “Spelling Error Detection and Correction by Computer: Some Notes and Bibliography”, Journal of Documentation, 38 (4), 282–291, 1982.

    Article  Google Scholar 

  82. Pollock, Joseph, and Zamora, Antonio, “Automatic Spelling Correction in Scientific and Scholarly Text”, Communications of the ACM, 27 (4), 358–368, 1984.

    Article  Google Scholar 

  83. Procter, Paul, Longman Dictionary of Contemporary English, Longman Group Limited, Harlow and London, 1978.

    Google Scholar 

  84. Quirk, Randolph; Greenbaum, Sidney; Leech, Geoffrey and Svartvik, Jan, A Contemporary Grammar of English, Longman Group Limited, London, 1972.

    Google Scholar 

  85. Rich, Elaine, “Natural-Language Interfaces”, IEEE Computer, 39–47, September, 1984.

    Google Scholar 

  86. Ritchie, Graeme, “Discussion Session on the Lexicon”, in Whitelock et al., 1987.

    Google Scholar 

  87. Ritchie, Graeme; Black, Alan; Pulman, Steve; and Russell, Graham, “The Edinburgh/Cambridge Morphological Analyser and Dictionary System: User Manual”, Software Paper 10, Department of Artificial Intelligence, University of Edinburgh, Edinburgh, 1987.

    Google Scholar 

  88. Russell, Graham; Pulman, Steve; Ritchie, Graeme; and Black, Alan, “A Computational Framework for Lexical Description”, Computational Linguistics, 13 (3–4), 290–307, 1987.

    Google Scholar 

  89. Shieber, Stuart, “Criteria for Designing Computer Facilities for Linguistic Analysis”, Linguistics, 232, 189–211, 1985.

    Google Scholar 

  90. Shipman, David and Zue, Victor, “Properties of Large Lexicons: Implications for Advanced Isolated Word Recognition Systems”, Conference Record, pp.546–549, IEEE International Conference on Speech Acoustics and Signal Processing, Paris, 1982.

    Google Scholar 

  91. Small, Steven, “Word Expert Parsing: a Theory of Distributed Word-Based Natural Language Understanding”, Ph.D. Dissertaion, also available as Technical Report TR-954/NSG-7253, Department of Computer Science, University of Maryland, 1980.

    Google Scholar 

  92. Sowa, John and May, Eileen, “Implementing a Semantic Interpreter Using Conceptual Graphs”, IBM Journal of Research and Development, 30 (1), 57–69, 1986.

    Article  Google Scholar 

  93. Streeter, Lynn A., “The Acoustic Determination of Phrase Boundary Perception”, Journal of Acoustic Society of America, 64 (6), 15–82, 1978.

    Google Scholar 

  94. Stubbs, John, “A Database-in-Waiting: The OED Becomes the New OED”, paper presented to the Computers and the Humanities Conference, University of Toronto, Toronto, 1986.

    Google Scholar 

  95. Thompson, Henry, “Natural Language Processing: A Critical Analysis of the Structure of the Field, with Some Implications for Parsing”, in K. Sparck Jones and Y. Wilks (Eds.), Automatic Natural Language Parsing, Ellis Horwood, Chichester, 1983.

    Google Scholar 

  96. Thorndike, E.L. and Lorge, I., The Teachers Word Book of 30, 000 Words, Teachers College Press, Teachers College, Columbia University, New York, 1944.

    Google Scholar 

  97. Tompa, Frank, “Database Design for a Dictionary of the Future”, unpublished manuscript, Centre for the New Oxford English Dictionary, University of Waterloo, Waterloo, Ontario, 1986.

    Google Scholar 

  98. Tucker, Allen and Nirenburg, Sergei, “Machine Translation”, in Martha E. Williams (Ed.), Annual Review of Information Science and Technology (ARIST), American Society for Information Science, 19, 1984.

    Google Scholar 

  99. Walker, Donald and Amsler, Robert, “The Use of Machine-Readable Dictionaries in Sublanguage Analysis”, in Richard Kittredge (Ed.), Proceedings of Workshop on Sublanguage Analysis; New York, 1984 (also available in Analyzing Language in Restricted Domains, (Grishman, R. and Kittredge,R. (Eds.), Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1986 ).

    Google Scholar 

  100. Waltz, David, “Artificial Intelligence: An Assessment of the State-of-the-Art and Recommendation for Future Directions”, Al Magazine, Fall 1983.

    Google Scholar 

  101. Waltz, David and Pollack, Jordan, “Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation”, Cognitive Science, 9 (1), 1985.

    Google Scholar 

  102. Warren, Beatrice, Semantic Patterns of Noun-Noun Compounds, Gothenburg Studies of English 41, Goteborg: Acta Universitatis Gothenburgensis, 1978.

    Google Scholar 

  103. Webster’s Seventh New Collegiate Dictionary, C.&C. Merriam Company, Springfield, Massachussetts, 1967.

    Google Scholar 

  104. Wehrli, Eric, “Design and Implementation of a Lexical Data Base”, Proceedings of the Second Conference of the European Chapter of the Association for Computational Linguistics, pp.146–153, Geneva, 1985.

    Google Scholar 

  105. Whitelock, Peter; Somers, Harry; Bennett, Paul; Johnson, Rod; and Wood, Mary (Eds.), Linguistic Theory and Computer Applications, Academic Press, New York, 1987.

    Google Scholar 

  106. Wilks, Yorick, “Good and Bad Arguments for Semantic Primitives”, Communication and Cognition, 10, 181–221, 1977.

    Google Scholar 

  107. Yannakoudakis, E.J., “Expert Spelling Errors Analysis and Correction”, in Informatics 7, Proceedings of a conference held by the Aslib Informatics Group and the Information Retrieval Group of the British Computer Society, Cambridge, 1983.

    Google Scholar 

  108. Aitchison, J., Words in the Mind: An Introduction to the Mental Lexicon, Basil Blackwell, Oxford, UK, 1987.

    Google Scholar 

  109. Amsler, R. and W. Tompa, “An SGML-Based Standard for English Monolingual Dictionaries”, Information in Text: Proceedings of the Fourth Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, Waterloo, Ontario, pp. 61–80, 1988.

    Google Scholar 

  110. Armstrong, S.(ed.), Special Issue on Using Large Corpora, Computational Linguistics, 19(1–2), 1993.

    Google Scholar 

  111. Atkins, B., “Semantic ID Tags: Corpus Evidence for Dictionary Senses”, Proceedings of the Third Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, Waterloo, Ontario, 17–36, 1987.

    Google Scholar 

  112. Basili, R., M.-T. Pazienza and P. Velardi, Lexicon Acquisition for Real Natural Language Processing Systems, Cambridge University Press, Cambridge (forthcoming ), 1994.

    Google Scholar 

  113. Boguraev, B., “Building a Lexicon: The Contribution of Computers”, in B. Boguraev (Ed.), Special issue on computational lexicons, International Journal of Lexicography, 4(3), 1991a.

    Google Scholar 

  114. Boguraev, B. (ed.), Special Issue on Computational Lexicons, International Journal of Lexicography,4(3), 199 lb.

    Google Scholar 

  115. Boguraev, B. and E. Briscoe, “Large Lexicons for Natural Language Processing: Exploiting the Grammar Coding System of LDOCE”, Computational Linguistics, 13 (3–4) 203–18, 1987.

    Google Scholar 

  116. Boguraev, B. and E. Briscoe, Computational Lexicography for Natural Language Processing, Longman Limited, Harlow and London, 1989.

    Google Scholar 

  117. Boguraev, B., T. Briscoe, J. Carroll and A. Copestake, “Database Models for Computational Lexicography”, Proceedings of the Fourth International Congress of the European Association from Lexicography (EURALEX-VOX), Malaga, Spain, published by Biblograf, Barcelona, 1992.

    Google Scholar 

  118. Boguraev, B. and J. Pustejovsky (eds.), “Acquisition of Lexical Knowledge from Texts”, Proceedings of the Second International SIGLEX Workshop, Columbus, Ohio, 1993.

    Google Scholar 

  119. Boguraev, B. and J. Pustejovsky (eds.), Corpus Processing for Lexicon Acquisition, MIT Press, Cambridge, Mass. (forthcoming), 1994.

    Google Scholar 

  120. Briscoe, E., “Lexical Issues in Natural Language Processing”, in E. Klein and E Veltman (Eds.), Natural Language and Speech, Springer-Verlag, Berlin, pp. 3968, 1991.

    Google Scholar 

  121. Briscoe, E., V. de Paiva, and A. Copestake, Inheritance, Defaults, and the Lexicon, Cambridge University Press, Cambridge, 1993.

    Google Scholar 

  122. Byrd, R., “Discovering Relationships Among Word Senses”, Proceedings of the Third Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, Oxford, pp. 67–80, 1989.

    Google Scholar 

  123. Byrd, R., N. Calzolari, M. Chodorow, J. Klavans, M. Neff and O. Rizk, “Tools and Methods for Computational Lexicology”, Computational Linguistics, 13 (3–4), 219–40, 1987.

    Google Scholar 

  124. Calzolari, N. and E. Picchi, “Acquisition of Semantic Information from an On-Line Dictionary” Proceedings of the 12th International Conference on Computational Linguistics, Budapest, Hungary, pp. 87–92, 1988.

    Google Scholar 

  125. Carter, D., “LDOCE and Speech Recognition”, in B. Boguraev and E. Briscoe (eds.), Computational Lexicography for Natural Language Processing, Longman, London and New York, pp. 135–52, 1989.

    Google Scholar 

  126. Chodorow, M., Y. Ravin and H. Sachar, “A Tool for Investigating the Synonymy Relation in a Sense Disambiguated Thesaurus”, Proceedings of the Second Conference on Applied Natural Language Processing, Austin, TX, pp. 144–51, 1988.

    Google Scholar 

  127. Church, K., “Stress Assignment in Letter-to-Sound Rules for Speech Synthesis”, Proceedings of the 23rd Annual Meeting of the ACL, Chicago, pp. 246–54, 1985.

    Google Scholar 

  128. Church, K., W. Gale, P. Hanks and D. Hindle, “Using Statistics in Lexical Analysis”, in U. Zernik (Ed.), Lexical Acquisition: Using On-Line Resources to Build a Lexicon, Lawrence Erlbaum Associates, Hillsdale, NJ, 1991.

    Google Scholar 

  129. Copestake, A., “An Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary”, in Proceedings of the First International Workshop on Inheritance in Natural Language Processing, Tilburg, The Netherlands, pp. 19–29, 1990.

    Google Scholar 

  130. Evens, M., “Computer-Readable Dictionaries”, in M. Williams (Ed.), Annual Review of Information Science and Technology, vol. 24, Elsevier Science Publishing Co., The Netherlands, 1989.

    Google Scholar 

  131. Guthrie, L., B. Slator, Y. Wilks and R. Bruce, “Is There Contents in Empty Heads?”, Proceedings of the 13th Internatonal Conference on Computational Linguistics (COLING-13), Helsinki, Finland, pp. 138–43, 1990.

    Google Scholar 

  132. Hindle, D., “Noun Classification from Predicate-Argument Structures”, Proceedings of the 28th Annual Meeting of the Association for Computational Linguistics, Vancouver, British Columbia, pp. 268–75, 1990.

    Google Scholar 

  133. Justeson, J. and S. Katz, “Redefining Antonymy: The Textual Structure of a Semantic Relation”, Using Corpora: Proceedings of the 7th Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, Oxford, UK, pp. 138–53, 1991.

    Google Scholar 

  134. Levin, B., “Building a Lexicon: the Contribution of Linguistics”, International Journal of Lexicography, 4 (3), 205–26, 1991.

    Article  Google Scholar 

  135. Levin, B., English Verb Classes and Alternations: A Preliminary Investigation, University of Chicago Press, Chicago, 1993.

    Google Scholar 

  136. Miller, G. (ed.), Special Issue on WORDNET, International Journal of Lexicography, 3(4), 1990.

    Google Scholar 

  137. Neff, N. and B. Boguraev, “Dictionaries, Dictionary Grammars and Dictionary Entry Parsing”, Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics, Vancouver, British Columbia, pp. 91–101, 1989.

    Google Scholar 

  138. Neff, M. and M. McCord, “Acquiring Lexical Data from Machine-Readable Dictionary Resources for Machine Translation”, Proceedings of the Third International Conference on Theoretical and Methodological Issues in Machine Translation of Natural Language, Austin, Texas, pp. 87–92, 1990.

    Google Scholar 

  139. Pustejovsky, J., “Towards a Generative Lexicon”, Computational Linguistics, 17 (4), 1991.

    Google Scholar 

  140. Pustejovsky, J. and S. Bergler (eds.), Lexical Semantics and Knowledge Representation, Springer-Verlag, Berlin, 1992.

    Google Scholar 

  141. Pustejovsky, J. and B. Boguraev, “Lexical Knowledge Representation and Natural Language Processing”, Artificial Intelligence, 63, pp. 193–223, 1993.

    Article  Google Scholar 

  142. Wilks, Y., D. Fass, C-M. Guo, J. McDonald, T. Plate and B. Slator, “Providing Machine Tractable Dictionary Tools”, in J. Pustejovsky (Ed.), Semantics and the Lexicon, Kluwer Academic Publishers, Dordrecht and Boston, 1993.

    Google Scholar 

  143. Zernik, U. (ed.), Lexicon Acquisition: Using On-Line Resources to Build a Lexicon, Lawrence Erlbaum Associates, Hillsdale, NJ, 1991.

    Google Scholar 

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  1. Advanced Technologies Group, Apple Computer, Inc., USA

    Branimir Boguraev

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  1. Branimir Boguraev
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Antonio Zampolli Nicoletta Calzolari Martha Palmer

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Boguraev, B. (1994). Machine-Readable Dictionaries and Computational Linguistics Research. In: Zampolli, A., Calzolari, N., Palmer, M. (eds) Current Issues in Computational Linguistics: In Honour of Don Walker. Linguistica Computazionale, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-35958-8_7

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