A Probabilistic Model of Semantic Plausibility in Sentence Processing

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Probabilistic Model of Semantic Plausibility in Sentence Processing

Experimental research shows that human sentence processing uses information from different levels of linguistic analysis, for example, lexical and syntactic preferences as well as semantic plausibility. Existing computational models of human sentence processing, however, have focused primarily on lexico-syntactic factors. Those models that do account for semantic plausibility effects lack a gen...

متن کامل

Modelling Semantic Role Plausibility in Human Sentence Processing

We present the psycholinguistically motivated task of predicting human plausibility judgements for verb-role-argument triples and introduce a probabilistic model that solves it. We also evaluate our model on the related role-labelling task, and compare it with a standard role labeller. For both tasks, our model benefits from classbased smoothing, which allows it to make correct argument-specifi...

متن کامل

The Integration of Syntax and Semantic Plausibility in a Wide-Coverage Model of Human Sentence Processing

Models of human sentence processing have paid much attention to three key characteristics of the sentence processor: Its robust and accurate processing of unseen input (wide coverage), its immediate, incremental interpretation of partial input and its sensitivity to structural frequencies in previous language experience. In this thesis, we propose a model of human sentence processing that accou...

متن کامل

Wide-coverage probabilistic sentence processing.

This paper describes a fully implemented, broad-coverage model of human syntactic processing. The model uses probabilistic parsing techniques, which combine phrase structure, lexical category, and limited subcategory probabilities with an incremental, left-to-right "pruning" mechanism based on cascaded Markov models. The parameters of the system are established through a uniform training algori...

متن کامل

Structure before Meaning: Sentence Processing, Plausibility, and Subcategorization

Natural language processing is a fast and automatized process. A crucial part of this process is parsing, the online incremental construction of a syntactic structure. The aim of this study was to test whether a wh-filler extracted from an embedded clause is initially attached as the object of the matrix verb with subsequent reanalysis, and if so, whether the plausibility of such an attachment ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Cognitive Science

سال: 2009

ISSN: 0364-0213

DOI: 10.1111/j.1551-6709.2009.01033.x