Modeling the effects of memory on human online sentence processing with particle filters

Roger Levy, Florencia Reali, Thomas L. Griffiths

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

70 Citas (Scopus)

Resumen

Language comprehension in humans is significantly constrained by memory, yet rapid, highly incremental, and capable of utilizing a wide range of contextual information to resolve ambiguity and form expectations about future input. In contrast, most of the leading psycholinguistic models and fielded algorithms for natural language parsing are non-incremental, have run time superlinear in input length, and/or enforce structural locality constraints on probabilistic dependencies between events. We present a new limited-memory model of sentence comprehension which involves an adaptation of the particle filter, a sequential Monte Carlo method, to the problem of incremental parsing. We show that this model can reproduce classic results in online sentence comprehension, and that it naturally provides the first rational account of an outstanding problem in psycholinguistics, in which the preferred alternative in a syntactic ambiguity seems to grow more attractive over time even in the absence of strong disambiguating information.

Idioma originalInglés
Título de la publicación alojadaAdvances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
EditorialNeural Information Processing Systems
Páginas937-944
Número de páginas8
ISBN (versión impresa)9781605609492
EstadoPublicada - 2009
Publicado de forma externa
Evento22nd Annual Conference on Neural Information Processing Systems, NIPS 2008 - Vancouver, BC
Duración: 8 dic. 200811 dic. 2008

Serie de la publicación

NombreAdvances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

Conferencia

Conferencia22nd Annual Conference on Neural Information Processing Systems, NIPS 2008
País/TerritorioCanada
CiudadVancouver, BC
Período8/12/0811/12/08

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