A lot of texts are associated with Web images, such as image file name, ALT texts, surrounding texts etc on the corresponding Web pages. It is well known that the semantics of Web images are well correlated with these associated texts, and thus they can be used to infer the semantics of Web images. However, different types of associated texts may play different roles in deriving the semantics o...

This paper presents the review and evaluation of DiZer – an automatic discourse analyzer for Brazilian Portuguese. Based on Rhetorical Structure Theory, DiZer is a symbolic analyzer that makes use of linguistic patterns learned from a corpus of scientific texts to identify and build the discourse structure of texts. DiZer evaluation shows satisfactory results for scientific texts. In order to t...

The Article is devoted to the applied problem of identifying the linguistic features of engineering texts. The study of Russian-language texts of engineering discourse is usually of an applied nature, in our case, this applied research is caused by the need to teach foreigners who receive professional engineering education in Russia and in Russian language. The object of the research is the Rus...

The main task of knowledge acquisition (also named extraction) from natural language texts is to extract into fragment base intelligent system. Through the induction related literature about at a home country and abroad, this paper analyses strengths weaknesses classical approach. After emphatically researching rulebased extraction technology method building ontology linguistics, article propos...

We present in this paper the development process and the evaluation procedure of a Brazilian Portuguese discourse parser called DiZer. Based on Rhetorical Structure Theory, DiZer is a symbolic cue phrase-based analyzer that makes use of discourse templates learned from a corpus of scientific texts to identify and build the discourse structure of texts. DiZer evaluation shows satisfactory result...

This article sets out to examine the effect of utilizing different culturally-based materials on EFL university students' foreign language reading anxiety, reading comprehension self-efficacy, and reading proficiency within project-based classes. The research was carried out with two classes of intermediate freshmen majoring in English Language Teaching. The comparison group had to present thei...

A text steganography method based on Markov chains is introduced, together with a reference implementation. This method allows for information hiding in texts that are automatically generated following a given Markov model. Other Markov based systems of this kind rely on big simplifications of the language model to work, which produces less natural looking and more easily detectable texts. The ...