نتایج جستجو برای: syntactic errors

تعداد نتایج: 166245  

1999
KAREN FROUD

In this paper I introduce some data from an aphasic patient who demonstrates a robust effect of grammatical class; he is unable to read any function words, and makes characteristic ‘within-category’ substitution errors. These errors extend to the class of unaccusative verbs, and this leads to a consideration of the functional nature of unaccusativity. Existing accounts of unaccusativity as a sy...

Journal: :Journal of cognitive neuroscience 2007
Elisabet Service Päivi Helenius Sini Maury Riitta Salmelin

Electrophysiological methods have been used to study the temporal sequence of syntactic and semantic processing during sentence comprehension. Two responses associated with syntactic violations are the left anterior negativity (LAN) and the P600. A response to semantic violation is the N400. Although the sources of the N400 response have been identified in the left (and right) temporal lobe, th...

Journal: :Natural Language Engineering 2011
Arantza Díaz de Ilarraza Koldo Gojenola Maite Oronoz Iñaki Alegria

This paper presents a system for the detection and correction of syntactic errors. It combines a robust morphosyntactic analyser and two groups of finite-state transducers specified using the Xerox Finite State Tool (XFST). One of the groups is used for the description of syntactic error patterns while the second one is used for the correction of the detected errors. The system has been tested ...

2005
Alan G. Kamhi Linda A. Koenig

The purpose of this study was to better understand the relationship between delayed linguistic performance and metalinguistic abilities. A metalinguistic task involving the identification and revision of syntactic, semantic, and phonologic errors was administered to 10 normal and 10 language-disordered children of comparable mental age and receptive language abilities. The two groups performed ...

1983
Richard Granger Chris J. Staros Gregory S. Taylor Rika Yoshii

The task of understanding unedited naval ship-co-shore messages is implemented in the presence of a large database of domain specific knowledge. The program uses internal syntactic and semantic expectations to analyze the texts and co correct errors that arise during understanding, such as syntactic errors, missing punctuation, and errors of spelling and usage. The output of the system is a vei...

2003
Eckhard Bick

This paper describes and evaluates a hybrid non-probabilistic parsing method for the grammatical annotation of large corpora and the live analysis of teaching sentences, employing a layered scheme of lexiconand contextbased Constraint Grammars on the one hand, and Phrase Structure Grammars or syntactic bracketing algorithms on the other. The method has been fully implemented by the author for D...

2009
Sze-Meng Jojo Wong Mark Dras

Attempts to profile authors based on their characteristics, including native language, have drawn attention in recent years, via several approaches using machine learning with simple features. In this paper we investigate the potential usefulness to this task of contrastive analysis from second language acquistion research, which postulates that the (syntactic) errors in a text are influenced b...

2009
Marcos Garcia Pablo Gamallo

Many of the errors produced by up-to-date POS-taggers could be considered as morphologic, syntactic or semantic. Once statistical tagging does not deal with semantic ambiguity, the correction of (morpho)syntactic errors emerges as one of the possibilities to improve the accuracy of this task. This work describes a method that applies a robust parser with correction rules over a POS-tagging outp...

2005
Sameer Pradhan Wayne H. Ward Kadri Hacioglu James H. Martin Daniel Jurafsky

Semantic role labeling is the process of annotating the predicate-argument structure in text with semantic labels. In this paper we present a state-of-the-art baseline semantic role labeling system based on Support Vector Machine classifiers. We show improvements on this system by: i) adding new features including features extracted from dependency parses, ii) performing feature selection and c...

2011
Aminul Islam Diana Inkpen

This paper proposes an unsupervised approach that automatically detects and corrects a text containing multiple errors of both syntactic and semantic nature. The number of errors that can be corrected is equal to the number of correct words in the text. Error types include, but are not limited to: spelling errors, real-word spelling errors, typographical errors, unwanted words, missing words, p...

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