The Arabic language has a very rich morphology where a word is composed of zero or more prefixes, a stem and zero or more suffixes. This makes Arabic data sparse compared to other...
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
In this paper, we describe a new multi-purpose audio-visual database on the context of speech interfaces for controlling household electronic devices. The database comprises speec...
Sense-tagged corpora are used to evaluate word sense disambiguation (WSD) systems. Manual creation of such resources is often prohibitively expensive. That is why the concept of p...
This work presents a method of linking verbs and their valency frames in VerbaLex database developed at the Centre for NLP at the Faculty of Informatics Masaryk University to the ...
Recent years have brought a significant growth in the volume of research in sentiment analysis, mostly on highly subjective text types (movie or product reviews). The main differe...
Alexandra Balahur, Ralf Steinberger, Mijail Alexan...
In this paper, we present a modeling of the syntactic lexicon for Arabic verbs based on the Lexical Markup Framework. This ISO standard let us describe the lexical information in ...
Noureddine Loukil, Kais Haddar, Abdelmajid Ben Ham...
The creation of language resources for less-resourced languages like the historical ones benefits from the exploitation of language-independent tools and methods developed over th...