For successful written communication, the writer not only must engage the readers’ attention but also must sustain their interest till the end whatever the length of the communication. The subject of the communication, the information or the propositional content alone, cannot hold the reader’s attention for long. A writer’s success depends not only on what is being conveyed but also on how wel...

The term metadiscourse rarely appears in translation studies despite the continuously growing body of research on discourse markers in different genres and through various perspectives. Translation as a product that needs to observe such markers for their communicative power and contribution to the overall coherence of a text within a context has not been satisfactorily studied. Motivated by su...

While there is a strong intuition that word alignments (e.g. synonymy, hyperonymy) play a relevant role in recognizing textto-text semantic inferences (e.g. textual entailment, semantic similarity), this intuition is often not reflected in the system performances and there is a general need of a deeper comprehension of the role of lexical resources. This paper provides an empirical analysis of ...

Today managing textual resources and providing full-text search capabilities on them is a relevant issue also for database management systems. Stemming is part of the indexing and searching processes, when we deal with textual resources. In this paper we present a languageindependent probabilistic model which can automatically generate stemmers for several different languages. The variety of wo...

Textual contents associated to resources are considered as sources of candidate tags to improve the performance of tag recommenders in social tagging systems. In this paper, we propose a twolevel learning hierarchy of a concept based keyword extraction method to filter the candidate tags and rank them based on their occurrences in concepts existing in the given resources. Incorporating user-cre...

Nowadays we are facing a growing demand for semantic knowledge in computational applications, particularly in Natural Language Processing (NLP). However, there aren’t sufficient human resources to produce that knowledge at the same rate of its demand. Considering the Portuguese language, which has few resources in the semantic area, the situation is even more alarming. Aiming to solve that prob...