This research applies an association rule mining technique to purely syntactic dialect data. The paper answers the research question of how relevant associations between syntactic variables can be discovered. The method calculates the proportional overlap between geographical distributions of syntactic microvariables and incorporates rule quality factors such as accuracy, coverage and completeness to measure the interestingness of the variable associations.The exploratory review of the results discusses several highly ranked association rules and also examines an implicational chain of syntactic variables
This paper is a case study in how quantitative-statistical and formal-theoretical (generative) appro...
This paper presents a method of using association rule data mining algorithms to discover regular so...
This paper has proposed a rough-Apriori based mining technique in mining linguistic association rule...
This research applies an association rule mining technique to purely syntactic dialect data. The pa...
The Syntactic Atlas of Dutch Dialects (SAND) is a database of syntactic features observed in the lan...
In this paper we measure the degrees of association among aggregate pronunciational, lexical and syn...
This paper discusses the design, methodology and results of the project Syntactic Atlas of the Dutch...
In this paper we measure the degrees of association among aggregate pronunciational, lexical and syn...
Syntactic databases are increasingly available and are put to a variety of uses, including serving a...
This paper reports on two pilot studies for a large-scale research project which ultimately aims to:...
AbstractThis paper contains a method for direct search of associations from numerical data that are ...
We develop an aggregate measure of syntactic difference for automatically finding common syntactic d...
This dissertation explores data-driven methodology of finding recurrent structure withinand between ...
We develop an aggregate measure of syn-tactic difference for automatically finding typical syntactic...
International audienceIn this paper, we describe two new methods of mining monolingual and bilingual...
This paper is a case study in how quantitative-statistical and formal-theoretical (generative) appro...
This paper presents a method of using association rule data mining algorithms to discover regular so...
This paper has proposed a rough-Apriori based mining technique in mining linguistic association rule...
This research applies an association rule mining technique to purely syntactic dialect data. The pa...
The Syntactic Atlas of Dutch Dialects (SAND) is a database of syntactic features observed in the lan...
In this paper we measure the degrees of association among aggregate pronunciational, lexical and syn...
This paper discusses the design, methodology and results of the project Syntactic Atlas of the Dutch...
In this paper we measure the degrees of association among aggregate pronunciational, lexical and syn...
Syntactic databases are increasingly available and are put to a variety of uses, including serving a...
This paper reports on two pilot studies for a large-scale research project which ultimately aims to:...
AbstractThis paper contains a method for direct search of associations from numerical data that are ...
We develop an aggregate measure of syntactic difference for automatically finding common syntactic d...
This dissertation explores data-driven methodology of finding recurrent structure withinand between ...
We develop an aggregate measure of syn-tactic difference for automatically finding typical syntactic...
International audienceIn this paper, we describe two new methods of mining monolingual and bilingual...
This paper is a case study in how quantitative-statistical and formal-theoretical (generative) appro...
This paper presents a method of using association rule data mining algorithms to discover regular so...
This paper has proposed a rough-Apriori based mining technique in mining linguistic association rule...