Automatic error detection in non-native English
This thesis describes the development of Dapper (`Determiner And PrePosition Error Recogniser'), a system designed to automatically acquire models of occurrence for English prepositions and determiners to allow for the detection and correction of errors in their usage, especially in the writing...
Main Author: | De Felice, R |
---|---|
Other Authors: | Pulman, S |
Format: | Thesis |
Language: | English |
Published: |
2008
|
Subjects: |
Similar Items
-
Detecting gross alignment errors in the Spoken British National Corpus
by: Baghai-Ravary, L, et al.
Published: (2010) -
ASKNet: automatically creating semantic knowledge networks from natural language text
by: Harrington, B, et al.
Published: (2009) -
The language of humour
by: Mihalcea, R
Published: (2010) -
Authorial stance in medical research articles and medical case reports written in english by native and non-native authors
by: Abdulhussein Swear, Muna
Published: (2016) -
The phonological encoding of complex morphosyntactic structures in native and non-native English speakers
by: Wynne, H
Published: (2016)