Paper Info
Title
Design and evaluation of an agreement error detection system: testing the effect of ambiguity, parser and corpus type
Abstract
We present a system for the detection of agreement errors in Basque, a language with agglutinative morphology and free order of the main sentence constituents. Due to their complexity, agreement errors are one of the most frequent error types found in written texts. As the constituents concerning agreement can appear in any order in the sentence, we have implemented a system that makes use of dependency trees of the sentence, which abstract over specific constituent orders. We have used Saroi, a tool that obtains the analysis trees that fulfill a set of restrictions described by means of declarative rules. This tool is applied to the output of two dependency analyzers: Maltixa (data-driven) and EDGK (rule-based). The system has been evaluated on two corpora: a group of texts containing errors, and another one composed of correct texts. As a secondary result, we have also estimated a measure of the impact of syntactic ambiguity on the quality of the results.
Year
DOI
Venue
2010
10.1007/978-3-642-14770-8_32
IceTAL
Keywords
Field
DocType
specific constituent order,dependency analyzer,corpus type,free order,agreement error,analysis tree,dependency tree,agglutinative morphology,correct text,declarative rule,agreement error detection system,main sentence constituent,rule based,error detection
False alarm,System testing,Computer science,Agglutinative language,Speech recognition,Error detection and correction,Natural language processing,Artificial intelligence,Parsing,Syntactic ambiguity,Ambiguity,Sentence
Conference
Volume
ISSN
ISBN
6233
0302-9743
3-642-14769-0
Citations 
PageRank 
References 
1
0.38
11
Authors
3
Name
Order
Citations
PageRank
Maite Oronoz18218.92
Arantza Díaz de Ilarraza26024.18
Koldo Gojenola316426.64