Displaying 1 - 14 of 14
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Kempen, G. (1998). Comparing and explaining the trajectories of first and second language acquisition: In search of the right mix of psychological and linguistic factors [Commentory]. Bilingualism: Language and Cognition, 1, 29-30. doi:10.1017/S1366728998000066.
Abstract
When you compare the behavior of two different age groups which are trying to master the same sensori-motor or cognitive skill, you are likely to discover varying learning routes: different stages, different intervals between stages, or even different orderings of stages. Such heterogeneous learning trajectories may be caused by at least six different types of factors: (1) Initial state: the kinds and levels of skills the learners have available at the onset of the learning episode. (2) Learning mechanisms: rule-based, inductive, connectionist, parameter setting, and so on. (3) Input and feedback characteristics: learning stimuli, information about success and failure. (4) Information processing mechanisms: capacity limitations, attentional biases, response preferences. (5) Energetic variables: motivation, emotional reactions. (6) Final state: the fine-structure of kinds and levels of subskills at the end of the learning episode. This applies to language acquisition as well. First and second language learners probably differ on all six factors. Nevertheless, the debate between advocates and opponents of the Fundamental Difference Hypothesis concerning L1 and L2 acquisition have looked almost exclusively at the first two factors. Those who believe that L1 learners have access to Universal Grammar whereas L2 learners rely on language processing strategies, postulate different learning mechanisms (UG parameter setting in L1, more general inductive strategies in L2 learning). Pienemann opposes this view and, based on his Processability Theory, argues that L1 and L2 learners start out from different initial states: they come to the grammar learning task with different structural hypotheses (SOV versus SVO as basic word order of German). -
Kempen, G., & Harbusch, K. (1998). A 'tree adjoining' grammar without adjoining: The case of scrambling in German. In Fourth International Workshop on Tree Adjoining Grammars and Related Frameworks (TAG+4).
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Kempen, G. (1998). Sentence parsing. In A. D. Friederici (
Ed. ), Language comprehension: A biological perspective (pp. 213-228). Berlin: Springer. -
Kempen, G., Anbeek, G., Desain, P., Konst, L., & De Smedt, K. (1987). Auteursomgevingen: Vijfde-generatie tekstverwerkers. Informatie, 29, 988-993.
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Kempen, G., Anbeek, G., Desain, P., Konst, L., & De Semdt, K. (1987). Author environments: Fifth generation text processors. In Commission of the European Communities. Directorate-General for Telecommunications, Information Industries, and Innovation (
Ed. ), Esprit'86: Results and achievements (pp. 365-372). Amsterdam: Elsevier Science Publishers. -
Kempen, G., Anbeek, G., Desain, P., Konst, L., & De Smedt, K. (1987). Author environments: Fifth generation text processors. In Commission of the European Communities. Directorate-General for Telecommunications, Information Industries, and Innovation (
Ed. ), Esprit'86: Results and achievements (pp. 365-372). Amsterdam: Elsevier Science Publishers. -
Kempen, G., & Hoenkamp, E. (1987). An incremental procedural grammar for sentence formulation. Cognitive Science, 11(2), 201-258.
Abstract
This paper presents a theory of the syntactic aspects of human sentence production. An important characteristic of unprepared speech is that overt pronunciation of a sentence can be initiated before the speaker has completely worked out the meaning content he or she is going to express in that sentence. Apparently, the speaker is able to build up a syntactically coherent utterance out of a series of syntactic fragments each rendering a new part of the meaning content. This incremental, left-to-right mode of sentence production is the central capability of the proposed Incremental Procedural Grammar (IPG). Certain other properties of spontaneous speech, as derivable from speech errors, hesitations, self-repairs, and language pathology, are accounted for as well. The psychological plausibility thus gained by the grammar appears compatible with a satisfactory level of linguistic plausibility in that sentences receive structural descriptions which are in line with current theories of grammar. More importantly, an explanation for the existence of configurational conditions on transformations and other linguistics rules is proposed. The basic design feature of IPG which gives rise to these psychologically and linguistically desirable properties, is the “Procedures + Stack” concept. Sentences are built not by a central constructing agency which overlooks the whole process but by a team of syntactic procedures (modules) which work-in parallel-on small parts of the sentence, have only a limited overview, and whose sole communication channel is a stock. IPG covers object complement constructions, interrogatives, and word order in main and subordinate clauses. It handles unbounded dependencies, cross-serial dependencies and coordination phenomena such as gapping and conjunction reduction. It is also capable of generating self-repairs and elliptical answers to questions. IPG has been implemented as an incremental Dutch sentence generator written in LISP. -
Kempen, G. (
Ed. ). (1987). Natural language generation: New results in artificial intelligence, psychology and linguistics. Dordrecht: Nijhoff. -
Kempen, G. (
Ed. ). (1987). Natuurlijke taal en kunstmatige intelligentie: Taal tussen mens en machine. Groningen: Wolters-Noordhoff. -
Kempen, G. (1987). Tekstverwerking: De vijfde generatie. Informatie, 29, 402-406.
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Pijls, F., Daelemans, W., & Kempen, G. (1987). Artificial intelligence tools for grammar and spelling instruction. Instructional Science, 16(4), 319-336. doi:10.1007/BF00117750.
Abstract
In The Netherlands, grammar teaching is an especially important subject in the curriculum of children aged 10-15 for several reasons. However, in spite of all attention and time invested, the results are poor. This article describes the problems and our attempt to overcome them by developing an intelligent computational instructional environment consisting of: a linguistic expert system, containing a module representing grammar and spelling rules and a number of modules to manipulate these rules; a didactic module; and a student interface with special facilities for grammar and spelling. Three prototypes of the functionality are discussed: BOUWSTEEN and COGO, which are programs for constructing and analyzing Dutch sentences; and TDTDT, a program for the conjugation of Dutch verbs. -
Pijls, F., & Kempen, G. (1987). Kennistechnologische leermiddelen in het grammatica- en spellingonderwijs. Nederlands Tijdschrift voor de Psychologie, 42, 354-363.
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De Smedt, K., & Kempen, G. (1987). Incremental sentence production, self-correction, and coordination. In G. Kempen (
Ed. ), Natural language generation: New results in artificial intelligence, psychology and linguistics (pp. 365-376). Dordrecht: Nijhoff. -
Van Wijk, C., & Kempen, G. (1987). A dual system for producing self-repairs in spontaneous speech: Evidence from experimentally elicited corrections. Cognitive Psychology, 19, 403-440. doi:10.1016/0010-0285(87)90014-4.
Abstract
This paper presents a cognitive theory on the production and shaping of selfrepairs during speaking. In an extensive experimental study, a new technique is tried out: artificial elicitation of self-repairs. The data clearly indicate that two mechanisms for computing the shape of self-repairs should be distinguished. One is based on the repair strategy called reformulation, the second one on lemma substitution. W. Levelt’s (1983, Cognition, 14, 41- 104) well-formedness rule, which connects self-repairs to coordinate structures, is shown to apply only to reformulations. In case of lemma substitution, a totally different set of rules is at work. The linguistic unit of central importance in reformulations is the major syntactic constituent; in lemma substitutions it is a prosodic unit. the phonological phrase. A parametrization of the model yielded a very satisfactory fit between observed and reconstructed scores.
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