1996
DOI: 10.1207/s15516709cog2002_1
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A Probabilistic Model of Lexical and Syntactic Access and Disambiguation

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Cited by 436 publications
(270 citation statements)
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“…These biases most likely arise over long-term experience using those verbs in those particular constructions. The problem becomes deeper if one presumes that language comprehension and language production make use of the same representations, as several studies have reported lexical effects on syntactic processing (e.g., Trueswell, Tanenhaus, & Kello, 1993), and several theories of sentence comprehension give an important role to lexical information (e.g., MacDonald, Pearlmutter, & Seidenberg, 1994;Jurafsky, 1996). By all accounts, the relevant probabilistic information about the use of particular lexical items in particular constructions must have accrued over long spans of linguistic experience.…”
Section: Discussionmentioning
confidence: 99%
“…These biases most likely arise over long-term experience using those verbs in those particular constructions. The problem becomes deeper if one presumes that language comprehension and language production make use of the same representations, as several studies have reported lexical effects on syntactic processing (e.g., Trueswell, Tanenhaus, & Kello, 1993), and several theories of sentence comprehension give an important role to lexical information (e.g., MacDonald, Pearlmutter, & Seidenberg, 1994;Jurafsky, 1996). By all accounts, the relevant probabilistic information about the use of particular lexical items in particular constructions must have accrued over long spans of linguistic experience.…”
Section: Discussionmentioning
confidence: 99%
“…For example, one possibility is to use an incremental parser with beam search (e.g., an n-best approach). Processing difficulty is predicted at points in the input string where the current best parse is replaced by an alternative derivation, and garden-pathing occurs when the ultimately correct parse has dropped out of the beam (Jurafsky, 1996;Crocker & Brants, 2000). However, this approach is only suited to ambiguous structures.…”
Section: Study 3: Modeling Parallelism Experimentsmentioning
confidence: 99%
“…The basis for our modeling studies is a probabilistic parser similar to those proposed by Jurafsky (1996) and Crocker and Brants (2000). We integrate both the priming account and the copying account of parallelism into this parser, and then evaluate the predictions of the resulting models against reading time patterns such as those obtained by Frazier et al (2000).…”
Section: Introductionmentioning
confidence: 99%
“…² Resource-constrained models, which emphasize the limited cognitive resources available to the human sentence processor and the ensuing upper bounds on acceptable linguistic complexity (Gibson, 1991(Gibson, , 1998Haarmann & Kolk, 1991;Haarmann, Just & Carpenter, 1997;Henderson, 1994;Just & Carpenter, 1992;Lewis, 1993Lewis, , 1996Marcus, 1980). ² Lexico-syntactic competition models, focusing on the activation-or frequencybased competition between alternative attachment possibilities offered by syntactic building blocks retrievable from the mental lexicon (Jurafsky, 1996;Kempen & Vosse, 1989;MacDonald, Pearlmutter & Seidenberg, 1994;Stevenson, 1993Stevenson, , 1994. ² Distributed-connectionist models, based on various types of neural network architectures, in particular on Simple Recurrent Nets Elman, 1991;Tabor, Juliano & Tanenhaus, 1997).…”
Section: Introductionmentioning
confidence: 99%