Обзор методов понимания речи и текста
Аннотация
Предлагается краткий обзор существующих методов понимания речи и текста на основе анализа публикаций в научных журналах и трудах ведущих конференций по речевой тематике. Выделяются два различных подхода к проблеме понимания языка: 1) на основе исчисления высказываний и 2) на основе распознавания смысла (речевого намерения). Приводятся доводы в пользу интегральной парадигмы обработки речи, разрабатываемой СПИИРАН по сравнению с широко известными подходами.Литература
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Chomsky N. On certain formal properties of grammars. — Inform. Control 2, 1959. — pp. 137– 167.
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Pfeifer R., Scheier Ch. Understanding Intelligence. — Cambridge, MA: The MIT Press. Bradford Books, 1999.
Налимов В. В. Непрерывность против дискретности в языке и мышлении. — Тбилиси: Изд. Тбилисского университета, 1978.
Косарев Ю. А. Кодовая модель речевого сообщения. — Препринт ЛИИАН.Л., 1986. — 23 с.
Fillmore Ch. The Case for case. In Bach, Harms. Universals in Linguistic Theory. — New York, 1968.
Попов Э. В. Общение с ЭВМ на естественном языке. — М.: Наука, 1982. — 37 c.
Schank R. Conceptual Information Processing. — Amsterdam, North-Holland, 1975.
Скороходько Э. Ф. Семантические сети и автоматическая обработка текста. — Киев, 1983. — 112 с.
Schank R., Birnbaum L., May J. Integrating semantics and pragmatics. — «Quaderni di Semantica », 1985. — Vol. VI, no. 2.
Lowerre B., Reddy D. The Harpy speech understanding system. — Pittsburgh: Carnegie — Mellon University, 1976.
Minsky M. A Framework for Representing Knowledge. — Mass.: Artificial Intelligence Laboratory, Cambridge, 1974.
Winston P. Artificial intelligence. — London: Addison-Wesley Publishing Company, 1977.
Schank R., Abelson R. Scripts, Plans, Goals and Understanding. — Hillsdale, NJ: Lawrence Erlbaum, 1977.
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Forsyth R. Expert systems. Principles and case studies. — London: Chapman and Hall, 1984.
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Налимов В. В. Непрерывность против дискретности в языке и мышлении. — Тбилиси: Изд. Тбилисского университета, 1978.
Косарев Ю. А. Кодовая модель речевого сообщения. — Препринт ЛИИАН.Л., 1986. — 23 с.
Fillmore Ch. The Case for case. In Bach, Harms. Universals in Linguistic Theory. — New York, 1968.
Попов Э. В. Общение с ЭВМ на естественном языке. — М.: Наука, 1982. — 37 c.
Schank R. Conceptual Information Processing. — Amsterdam, North-Holland, 1975.
Скороходько Э. Ф. Семантические сети и автоматическая обработка текста. — Киев, 1983. — 112 с.
Schank R., Birnbaum L., May J. Integrating semantics and pragmatics. — «Quaderni di Semantica », 1985. — Vol. VI, no. 2.
Lowerre B., Reddy D. The Harpy speech understanding system. — Pittsburgh: Carnegie — Mellon University, 1976.
Minsky M. A Framework for Representing Knowledge. — Mass.: Artificial Intelligence Laboratory, Cambridge, 1974.
Winston P. Artificial intelligence. — London: Addison-Wesley Publishing Company, 1977.
Schank R., Abelson R. Scripts, Plans, Goals and Understanding. — Hillsdale, NJ: Lawrence Erlbaum, 1977.
Винцюк Т. К. Распознавание слов устной речи методами динамического программирования. — М.: Кибернетика, 1968. — №1, 15–22 с.
Bellman R. E. Dynamic programming. — Princeton, New Jersey: Princeton University Press, USA, 1957.
Forsyth R. Expert systems. Principles and case studies. — London: Chapman and Hall, 1984.
Zadeh L. «A fuzzy-algorithmic approach to the definition of complex or imprecise concepts». — In international Journal of Man-Machine Studies, 1976. — vol. 8, No. 3, pp.249–291.
Shortliffe E. Computer based Medical Consultations: MYCIN. — New York: American Elsevier, 1976.
Selfridge M. Integrated Processing Produces Robust Understanding. — Computational Linguistics // Vol. 12, №2, April-June 1986. — pp.89–106.
Представление и использование знаний / под ред. Х. Уэно, М. Исидзука. – М: Мир, 1989. –220 с.
Zampolli A. Interview for Elsnews on Language Resources Conference. — Elsnews № 7.3, 1998.
Wang Ye-Yi A robust parser for spoken language understanding. — Budapest, Hungary: Eurospeech’ 99, 1999.
Wang J., Wang H., Lee K., Huang C. Domain-unconstrained language understanding Based on CKIP-Auto Tag, How-net, and ART // Proceedings of ICSLP’2000, Beijing, China, 2000.
Huang Y., Zheng F., Xu M., Yan P., Wu W. Language Understanding Component for Chinese Dialogue System // Proceedings of ICSLP’2000, Beijing, China, 2000.
Lucke Helmut Interface of stochastic context-free grammar rules from example data using the theory of Bayesian belief // The Proc. of Eurospeech93, 1993. — pp. 1195–1198.
Pearl J. Probabilistic Reasoning in Intelligent Systems. — Morgan&Kaufmann, 1987.
Minker W. Stochastically-Based Natural Spoken Language Understanding Across Task and Languages. Spoken language Processing Group. — LIMSI-CNRS. EUROSPEECH’97, 1997 — p.p. 1423-1426.
Dreyfus H. L. What Computers Can’t Do. A critique of artificial reason. — Harper & Row, Publishers, 1973.
Swerts M., Litman D., Hirschberg J. Corrections in Spoken Dialogue Systems // Proceedings of ICSLP’2000, Beijing, China, 2000.
Akinori I., Chiori H., Masaharu K., Masaki K. Language Modeling by Stochastic Dependency Grammar for Japanese Speech Recognition // Proceedings of ICSLP’2000, Beijing, China, 2000.
Seward A. A Tree-Trellis N-best Decoder for Stochastic Context-Free Grammars // Proceedings of ICSLP’2000, Beijing, China, 2000.
Carpenter B., Lerner S., Pieraccin R. Optimizing BNF Grammars through Source Transformations // Proceedings of ICSLP’2000, Beijing, China, 2000.
Potamianos A., Kuo H. Statistical Recursive Finite State Machine Parsing for Speech Understanding // Proceedings of ICSLP’2000, Beijing, China, 2000.
Esteve Y., Bechet F., R. de Mori Dynamic Selection of Language Models in a Dialogue System // Proceedings of ICSLP’2000 , Beijing, China, 2000.
Lin Y., Wan H. Error-tolerant Language Understanding for Spoken Dialogue Systems // Proceedings of ICSLP’2000, Beijing, China, 2000.
Wu C., Chen Y., Yang C. Error Recovery and Sentence Verification Using Statistical Partial Pattern Tree for Conversational Speech // Proceedings of ICSLP’2000, Beijing, China, 2000.
Kuo H., Lee C. Discriminative Training in Natiral Language Call Routing // Proceedings of ICSLP’2000, Beijing, China, 2000.
Chou W., Zhou Q., Kuo H., Saad A., Attwater D., Durston P., Farrell M., Scahill F. Natural Language Call Steering for Service Applications // Proceedings of ICSLP’2000, Beijing, China, 2000.
Lai Y., Lee K., Wu C. Intention Extraction and Semantic Matching for Internet FAQ Retrieval Using Spoken Language Query // Proceedings of ICSLP’2000, Beijing, China, 2000.
Johnsen M., Holter T., Svendsen T., Harborg E. Stochastic Modeling of Semantic Content for Use in a Spoken Dialogue System // Proceedings of ICSLP’2000, Beijing, China, 2000.
Horiuchi Y., Arsushi F., Ichikawa A. New WWW Browser for Visually Impaired People Using Interactive Voice Technology. — Budapest, Hungary: In Proc. Of Eurospeech’99, 1999. — pp. 2139–2142.
Pokrovski N. B. Calculation and Measurement of Speech Legibility. — Moscow: Svjaz., 1962.
Psychological and Psycho-physiological Research of Speech / Edited by Ushakova T. N. — Moscow: Nauka // 1985.
Lindsay P. H., Norman D. A. Human Information Processing. — NY and London: Academic Press, 1972.
Cognition and the symbolic processes/Edited by Weimer W.. Palermo D. — Hillsdale, 1974.
Oaksford M., Chater N. Against logistics cognitive science. — In Mind &Language, 1991. — vol. 6, No. 1, pp. 2-37.
Lyons J. Introduction to theoretical linguistics. — Cambridge: At the University Press, 1972.
Kravez L. G. Quantitative Merkmale englischer Nominalverbindungen // Sprachstatistik. Mit zahlreichen Skizzen, Tabellen und Schemata im Text. Uebersetzt von einem Kollektiv unter Leitung von Lothar Hoffman. Wilhelm Fink, Muenchen/Salzburg, 1973. — pp. 252–264
Danejko M. Maschkina L., Nechaj O., Sorkina W., Saharanda A. Statiatische Untersuchung der lexikalischen Distribution der Wortformen // Sprachstatistik. Mit zahlreichen Skizzen, Tabellen und Schemata im Text. Uebersetzt von einem Kollektiv unter Leitung von Lothar Hoffman. Wilhelm Fink, Muenchen/Salzburg, 1973. — pp. 239–251.
Deese J. On the structure of associative meaning // Psychological review, 1962. — vol. 69, No. 2, pp. 161–175.
Howes D. On the relation between the probability of a word as an association and in general verbal usage // Journal of Abnormal and Social Psychology, 1957. — vol. 54, No. 1, pp. 75–86.
Kosarev Yu. A., Jarov P. A. Associations help to recognize words // Proceedings of DAGA-95, Saarbruecken, 1995. — pp. 979–982.
Bekwith R., Fellbaum C., Gross D, Miller G. WordNet: A lexical database organized on psycholinguistic principle // Using On-line Resources to Build a Lexicon. Zernic U. (ed.),NJ: Lawrence Erlbaum, Hillsdale, 1992.
Kosarev Yu., Piotrowski R. Synergetics and 'Insight' Strategy for Speech Processing. Literary and Linguistic Computing — Oxford University Press, 1997. — Vol. 12, pp. 113–118.
Kosarev Yu. Achievements and Challenges in Speech Dialogue with Computer. — St- Petersburg: Proc. Intern.Workshop "Speech and Computer", SPECOM'2000, 2000 — pp. 1–7.
Hirasawa J., Miyzaki N., Nakano M., Aikawa K. New Feature Parameters for Detecting Misunderstanding in Spoken Dialogue System // Proceedings of ICSLP’2000, Beijing, China, 2000.
Rahim M., Pieaccini R., Eckert W., Levin E., Di Fabbrizio G., Riccardi G., Kamm C., Narayanan S. A Spoken Dialogue System for Conference / Workshop Services // Proceedings of ICSLP’2000, Beijing, China, 2000.
Wang H. M., Lin Y. C. Coal-oriented Table-driven Design for Dialog manager // Proceedings of ICSLP’2000, Beijing, China, 2000.
Kurematsu A.,Akegam Y.,Burge S.,Jekat S.,Lause B., Maclaren V., Oppermann D., Schultz T. VERBMOBIL Dialogues: Multifaced Analysis // Proceedings of ICSLP’2000, Beijing, China, 2000.
Zhang H., Xu B., Huang T. How to Choose Training Set for Language Modelling // Proceedings of ICSLP’2000, Beijing, China, 2000.
Luo X., Franz M. Semantic Tokenization of Verbalized Numbers in Language Modeling // Proceedings of ICSLP’2000, Beijing, China, 2000.
Miller G., Isard S. Some Perceptual Consequences of Linguistic Rules, J. of Verbal Learning and Verbal Behavior, 1963. — 2, pp. 217–228.
Jelinek F. The Development of an Experimental of Discrete Dictation Recognizer // Proceedings of IEEE, No. 11, vol. 73, 1985
Bahl L. R. et al. Performance if the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task // Proceedings of ICASSP, 1995. — pp. 41–44.
Leonardi F., Micca G., Militello S.,Nigra M. Preliminary results of multilingual interactive voice activated telephone service for people-on-the-move // Proceedings of EUROSPEECH’97, 1997. — vol. 4, pp. 1771–1774.
Geutner P., Arevalo L., Breuninger J. VODIS — Voice-Operated Driver Information Systems: A Usability Study on Advanced Speech Technologies for Car Environments // Proceedings of ICSLP’2000, Beijing, China, 2000.
Vilar J., Llorens D, Vidal E. Experiments with Finite-State Models for Speech-Input Language Translation // Proceedings of SPECOM’96. — St-Petersburg, 1996. — pp. 59–63.
Yokoo A., Sagisaka Y., Campbell N., Iida H., Yamamoto S. ATR-MATRIX: Speech Translation System from Japanese to English // Proceedings of SPECOM’98. — St-Petersburg, 1998. — pp. 203–206.
Pickles J. O. An Introduction to the Physiology of Hearing. — New York: Academic press, USA, 1988.
Markel J., Gray A. Linear Prediction of Speech. — New York: Springer-Verlag, USA, 1980.
Rabiner L. R., Schafer R. W. Digital Processing of Speech Signals. — New Jersey: Prentice- Hall, Englewood Cliffs, USA, 1978.
Davis S., Mermelstein P. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences // Proceedings of ASSP’28, 1980. — pp. 357– 366.
Zwicker E., Terhardt E. Analytical expressions for critical-band rate and critical bandwidth as a function of frequency // Journal of the Acoustical Society of America, 1980. — vol. 68, No. 5, pp. 1523–1525
Rabiner L., Juang B. Fundamentals of Speech Recognition. — New Jersey: Prentice-Hall, Englewood Cliffs, USA, 1993.
Strom N. Continuous Speech Recognition in the WAXHOLM Dialogue System. — STL QPSR, 1996. — pp. 67–96.
Markel J., Gray A. Linear Prediction of Speech. — Berlin, Springer-Verlag, 1976.
Makhoul J., Raucos S., Gish H. Vector Quantization In Speech Coding // Proceedings of IEEE, 1985. — vol. 73, No. 11, pp. 1551–1588.
Johnson S. C. Hierarchical clustering schemes. Psychometrika. — 1967. — 32, pp. 241–254.
King B. F. Step-wise clustering procedures // Journal of the American Statistical Association, 1967. — 62, pp. 86–101.
MacQueen J. B. Some methods for classification and analysis of multivariate observations // Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. — 1967, pp. 281–297.
Ball G., Hall D. ISODATA, A Novel Method of Data Analysis and Patten Classification. — (AD 699616) California, Stanford Research Institute, 1965.
Sakoe H, Chiba S. Dynamic programming optimization for spoken word recognition. — IEEE Trans. ASSP-34, 1986. — No. 1, pp. 52–59.
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Review of speech and text understanding methods
Abstract
Brief review of existent methods for speech and text understanding is presented based on analysis of publications in science journals and leading conferences on speech research. Two different approaches to language understanding problem are pointed: 1) approach based on propositional calculus and 2) approach based on meaning recognition (speech intention). The arguments for speech processing paradigm elaborated in SPIIRAS are presented in comparison with conventional approachesОпубликован
2002-04-01
Как цитировать
Косарев, Ли, Ронжин, Скиданов, & Savage,. (2002). Обзор методов понимания речи и текста. Труды СПИИРАН, 2(1), 157-195. https://doi.org/10.15622/sp.1.12
Раздел
Статьи
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