Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter August 12, 2015

Schließen auf Verbklassen

  • Michael Richter EMAIL logo


Based on the fact that verb learning is a difficult issue in language acquisition, the paper non-empirically addresses the question which inference rules which type of language learner might use in order to infer verb classes from the nominal fillers in the argument positions of verbs. Probabilistic rules based on Bayesian networks allow to decide whether a verb belongs to a class or not. The complexity of the rules might give an explanation why learning the semantics of verbs is difficult and is mastered completely at late stages of the language acquisition process.


Agresti, Alan/Hitchcock, David B.: „Bayesian inference for categorical data analysis“. Statistical Methods and Application (Journal of the Italian Statistical Society) (2005).10.1007/s10260-005-0121-ySearch in Google Scholar

Aissen, Judith: Differential Object Marking: „Iconicity vs. economy“. Natural Language and Linguistic Theory, 21 (2003), S. 435–483.Search in Google Scholar

Alishahi, Afra/Stevenson, Suzanne: „A probabilistic model of early argument structure Acquisition“. In: Cognitive Science, 32 (5) (2008), S. 789–834.Search in Google Scholar

Ambridge, Ben/Pine, Julian M./Rowland Caroline F./Young Chris R.: „The effect of verb semantic class and verb frequency (entrenchment) on children’s and adults’ graded judgments of argument–structure overgeneralization errors“. In: Cognition 106, (2008), S. 87– 129.Search in Google Scholar

Bates, Elizabeth/MacWhinney, Brian: „Competition, variation, and language learning“. In: B. MacWhinney (Hg.): Mechanisms of Language Acquisition. Hillsdale, NJ 1987, S. 157–194.Search in Google Scholar

Block, H. D./Marschak, Jacob: „Random orderings and stochastic theories of responses“. In: Ingram Olkin/Sudhish C. Ghurye/Wassily Höffding/William C. Madow/Henry B. Mann (Hg.): Contributions to probability and statistics. Stanford, CA 1960, S. 97–132.Search in Google Scholar

Bruner, Jerome S./Goodnow Jaqueline J./Austin, George A.: A Study of Thinking. New York 1956.10.2307/1292061Search in Google Scholar

Chang, Nancy: „Putting meaning into grammar learning“. In: Proceedings of the 1st Workshop on Psychocomputational Models of Human Language Acquisition. Genf 2004, S. 17–24.Search in Google Scholar

Chickering, David Maxwell: „Learning Equivalence Classes of Bayesian Network Structures“, In: Eric Horvitz/Finn Verner Jensen (Hg.): Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence. Portland, Oregon, 1996, S. 150–157.Search in Google Scholar

Cooper, Gregory F./Herskovits, Edward: „A Bayesian method for the induction of probabilistic networks from data“, In: Machine Learning 9 (1992), S. 309–347.Search in Google Scholar

Croft, William: Typology and Universals. Cambridge University Press (2nd edition) 2003.10.1017/CBO9780511840579Search in Google Scholar

Davidson, Donald/Marschak, Jacob: „Experimental Tests of Stochastic Decision Theory“. In: ­C.­West Churchman/Philburn Ratoosh (Hg.): Measurements: Definitions and Theories, New York 1959, S. 233–269.Search in Google Scholar

Desai, Rutvik: „A model of Frame and Verb Compliance in language acquisition“. In: Neurocomputing, 70 (13–15) (2007), S. 2273–2287.Search in Google Scholar

Goldberg, Adele E.: Constructions at work: The nature of generalization in language. Oxford University Press, Oxford 2006.10.1093/acprof:oso/9780199268511.001.0001Search in Google Scholar

Griffiths, Thomas L./Ghahramani, Zoubin: „Infinite latent feature models and the Indian buffet process“. Advances in Neural Information Processing Systems 18 (2005), S. 475.Search in Google Scholar

Griffiths, Thomas L./Ghahramani, Zoubin: „The Indian buffet process: an introduction and review“. Journal of Machine Learning Research 12 (2011), S. 1185–1224.Search in Google Scholar

Hilbert, David/Ackermann, Wilhelm: Grundzüge der theoretischen Logik, 1. Auflage Springer, Berlin 1938.10.1007/978-3-662-41928-1_1Search in Google Scholar

Joanis, Eric/Stevenson, Suzanne/James, David: „A general feature space for automatic verb classification“. In: Natural Language Engineering. 14 (3) (2008), S. 337–367.Search in Google Scholar

Jones, Gary/Gobet, Fernand/Pine, Julian M.: „A process model of children’s early verb use“. In: Proceedings of the 22nd Annual Meeting of the 2Cognitive Science Society. Philadelphia 2000, S. 723–728.Search in Google Scholar

Klavans, Judith L./Chodorow, Martin: „Degrees of Stativity: The lexical representation of verb aspect“. In: Proceedings of the 14th International Conference on Computational Linguistics (Coling). Nantes 1992, S. 1126–1131.10.3115/992424.992443Search in Google Scholar

Korhonen, Anna/Krymolowski, Yuval/Marx, Zvika: „Clustering polysemic subcategorization frame distributions semantically“. In: Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics. Sapporo 2003, S. 64–71.10.3115/1075096.1075105Search in Google Scholar

Landauer, Thomas K./Dumais, Susan T.: „A solution to Plato’s problem: The Latent Semanctic Analysis theory of the acquisition, induction, and representation of knowledge“. In: Psychological Review 104 (1997), S. 211–140Search in Google Scholar

Levin, Beth: English Verb Classes and Alternations. Chicago 1993.Search in Google Scholar

Luce, R. Duncan/Suppes, Patrick: „Preference, utility and subjective probability“. In: R. Duncan Luce/Robert R. Bush/Eugene Galanter (Hg.): Handbook of mathematical psychology, Vol. 3. New York 1965, S. 249–410.Search in Google Scholar

MacWhinney, Brian: The competiton model. In: Brian MacWhinney (Hg.): Mechanisms of Language Acquisition. Hillsdale, NJ 1987, S. 249–308.Search in Google Scholar

Merlo, Paola/Stevenson, Suzanne: „Automatic verb classification based on statistical distributions of argument structure“. In: Computational Linguistics, 27 (3) (2001), S. 373–408.Search in Google Scholar

Naigles, Laetitia/Fowler, Anne/Helm, Atessa: „Developmental shifts in the construction of verb meanings“. In: Cognitive Development 7 (1992), S. 403–428.Search in Google Scholar

Naigles, Laetitia/Fowler, Anne/Helm, Atessa: „Syntactic bootstrapping and Down Syndrome“. In: Michael Tomasello/William E. Merriman (Hg.): Beyond names for things. Young Children’s acquisition of Verbs. Hillsdale, NJ 1995, S. 299–330.Search in Google Scholar

Naigles, Laetitia/Gleitman, Lila R./Gleitman, Henry: „Children acquire word meaning components from syntactic evidence“. In: Esther Dromi (Hg.): Language and cognition: A developmental perspective, Norwood, NJ 1993, S. 104–140.Search in Google Scholar

Pantel, Patrick: „Inducing ontological co-occurrence vectors“. In: Proceedings of Association for Computational Linguistics (ACL-05) (2005), S. 125–132.Search in Google Scholar

Parisien, Christopher: Hierarchical Bayesian models of verb learning in children. Dissertation University of Toronto 2011.Search in Google Scholar

Piccin, Thomas B./Waxman, Sandra R.: „Why Nouns Trump Verbs in Word Learning: New Evidence from Children and Adults in the Human Simulation Paradigm“. In: Language Learning and Development 3(4) (2007), S. 295–323.Search in Google Scholar

Preiss, Judita/Briscoe, Ted/Korhonen, Anna: „A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora“. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, Prag 2007, S. 912–919.Search in Google Scholar

Richter, Michael/van Hout, Roeland: „Interpreting resultative sentences in German: stages in L1acquisition“. In: Linguistics 51(1) (2013), S. 117–144.Search in Google Scholar

Richter, Michael/van Hout, Roeland: „A classification of German verbs using empirical data and conceptions of Vendler and Dowty“. 2015 (erscheint in Sprache und Datenverarbeitung – International Journal for Language Data Processing).Search in Google Scholar

Richter, Michael/Hermes, Jürgen: ‘Classification of German verbs using nouns in argument positions and aspectual features’. In: Vito Pirelli/Claudia Marzi/Marcello Ferro (Hg.): Word Structure and Word Usage. Proceedings of the NetWordS Final Conference. Pisa, 2015, S. 177–181. (, Vol. 1347).Search in Google Scholar

Rubenstein, Herbert/Goodenough, John B.: „Contextual correlates of synonomy“. In: Communications of the ACM 8 (10) (1965), S. 627–633.Search in Google Scholar

Rumelhart, David E./McClelland, James: „On learning the past tense of English verbs“. In: David E. Rumelhart/James McClelland McClelland (Hg.) Parallel Distributed Processing, Volume 2. Cambridge, Mass: MIT Press, 1986, S. 216–270.Search in Google Scholar

Schulte im Walde, Sabine/Brew, Chris „Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation Information“. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL). Philadelphia 2002, S. 223–23010.3115/1073083.1073121Search in Google Scholar

Schulte im Walde, Sabine: „Experiments on the Choice of Features for Learning Verb Classes“. In: Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics. Budapest 2003, S. 315–322.10.3115/1067807.1067849Search in Google Scholar

Schulte im Walde, Sabine: „Automatic Induction of Semantic Classes for German Verbs“. In: Stefan Langer/Daniel Schnorbusch (Hg.) Semantik im Lexikon. Tübingen 2004, S. 59–86.Search in Google Scholar

Schumacher, Helmut: Verben in Feldern.Valenzwörterbuch zur Syntax und Semantik deutscher Verben. Berlin und New York 1986.10.1515/9783110861853Search in Google Scholar

Schütze, Hinrich/Pedersen, Jan: „A vector model for syntagmatic and paradigmatic relatedness“. In: Making Sense of Words: Proceedings of the Conference. Oxford 1993, S. 104–113.Search in Google Scholar

Siegel, Eric V.: „Learning methods for combining linguistic indicators to classify verbs“. In: Proceedings of the Second Conference on Empirical Methods in Natural Language Processing. 1997Search in Google Scholar

Siegel, Eric V./McKeown, Katleen R.: „Learning Methods to Combine Linguistic Indicators: Improving Aspectual Classification and Revealing Linguistic Insights“. In: Computational Linguistics 26(4) (2000), S. 595–627.Search in Google Scholar

Tomasello, Michael: First verbs: A case study of early grammatical development. Cambridge, MA 1992.10.1017/CBO9780511527678Search in Google Scholar

Tomasello, Michael: Constructing a language: a usage-based theory of language acquisition. Cambridge, MA 2003.Search in Google Scholar

Tversky, Amos: „Intransitivity of preferences“. In: Psychological Review 76 (1969), S. 31–48.Search in Google Scholar

Vendler, Zeno: Linguistics in philosophy. Ithaca, NY 1967.10.7591/9781501743726Search in Google Scholar

Versley, Yannick: „Decorrelation and shallow semantic patterns for distributional clustering of nouns and verbs“. In: Proceedings of the ESSLLI Workshop on Distributional Lexical Semantics. Hamburg 2008, S. 55–62.Search in Google Scholar

Vlachos, Andreas/Korhonen, Anna/Ghahramani, Zoubin: „Unsupervised and constrained Dirichlet process mixture models for verb clustering“. In: Proceedings of the EACL Workshop on Geometrical Models of Natural Language Semantics. Athen 2009, S. 74–82.10.3115/1705415.1705425Search in Google Scholar

Wittek, Angelika: Learning the meaning of change-of-state verbs. Berlin und New York 2002.10.1515/9783110907988Search in Google Scholar

Online erschienen: 2015-8-12
Erschienen im Druck: 2015-8-1

© 2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston

Downloaded on 7.2.2023 from
Scroll Up Arrow