Large-scale corpus of spontaneous speech can be a powerful tool for the study of language variation. Moreover, given that the corpus is publicly available, corpus-based analysis could open up the possibility of follow-up analysis in this area of linguistic study. Generally speaking, follow-up study is highly desirable in sciences but so far it has been virtually impossible in the area of socio-...

This paper describes a prototype of an example-based machine translation system. In this system, key language resources are EDR corpus and concept classification dictionary. The corpus consists of a pair of sentences, their morphological representations, their syntactic representations, and their semantic representations. The semantic representations are described by an interlingua. Therefore t...

Abstract This article introduces a new method for grouping keywords and examines the extent to which it also allows analysts explore interaction of discourse subregister. It uses multivariate statistical technique, Multiple Correspondence Analysis, reveal dimensions co-occur across texts corpus. These are then interpreted in terms discourses they contribute within data, thus forming basis corpu...

The paper deals with corpus-based methods applied to the particular tasks of lexical database construction. Different techniques of the corpus analysis are discussed and their applicability for the tasks is assessed. Corpus management system Manatee + Bonito developed at the Faculty of Informatics, Masaryk University in Brno, Czech Republic, is presented as a tool that enables to perform all di...

Building and exploiting a French corpus for sentiment analysis This work introduces a French corpus for sentiment analysis. We describe the construction and organization of the corpus. We then apply machine learning techniques to automatically predict whether a text is positive or negative (the opinion classification task). Two techniques are used : logistic regression and classification based ...

Despite the spread of software development and software usage, we have almost no dependable data on how software is actually written in practice. Understanding the shape of existing software is an important step to understanding what good software looks like. Our proposal is to undertake quantitative studies of the way software is actually written in practice and evolved over time by collecting...

Tokenisers, lemmatisers and POS taggers are vital to the linguistic and digital furtherment of any language. In this paper, we present an open source toolkit for Malay incorporating a word and sentence tokeniser, a lemmatiser and a partial POS tagger, based on heavy reuse of pre-existing language resources. We outline the software architecture of each component, and present an evaluation of eac...

The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity. In the present work we are exactly interested in the thematic analysis of the textual documents. In our approach, we suggest studying the variation of the theme relevance within a text to identify the major theme and all the...

The Interaction Quality paradigm has been suggested as evaluation method for Spoken Dialogue Systems and several experiments based on the LEGO corpus have shown its suitability. However, the corpus size was rather limited resulting in insufficient data for some mathematical models. Hence, we present an extension to the LEGO corpus. We validate the annotation process and further show that applyi...