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Output details

11 - Computer Science and Informatics

University of Aberdeen

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Output 36 of 74 in the submission
Article title

Generating basic skills reports for low-skilled readers

Type
D - Journal article
Title of journal
Natural Language Engineering
Article number
-
Volume number
14
Issue number
4
First page of article
495
ISSN of journal
1351-3249
Year of publication
2008
URL
-
Number of additional authors
1
Additional information

<22>This paper describes how a computer natural-language generation system can summarise results of basic-skills assessment. The focus is on techniques and algorithms for generating texts which can be read by people with limited literacy skills. It is based on Williams’ PhD and subsequent post-doc at Aberdeen. Williams subsequently moved to Open University and has continued working in this area (http://mcs.open.ac.uk/sw6629/numgen). Her OU work was supported by an ESRC grant, led to a major journal paper in Computational Linguistics, and also led to the establishment of a workshop series on Predicting and improving text readability for target reader populations.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
10
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-