This article presents the results we obtained on a complex annotation task (that of dependency syntax) using a specifically designed Game with a Purpose, ZombiLingo.1 We show that with suitable mechanisms (decomposition of the task, training of the players and regular control of the annotation quality during the game), it is possible to obtain annotations whose quality is significantly higher t...

The current PASSAGE syntactic representation is the result of 9 years of constant evolution with the aim of providing a common ground for evaluating parsers of French whatever their type and supporting theory. In this paper we present the latest developments concerning the formalism and show first through a review of basic linguistic phenomena that it is a plausible minimal common ground for re...

The activities in a language course can be classified into the four strands of meaning-focused input, meaning-focused output, language-focused learning and fluency development. In a well designed course there should be an even balance of these strands with roughly equal amounts of time given to each strand. The research evidence for the strands draws on the input hypothesis and learning from ex...

Abstract Modern financial markets produce massive datasets that need to be analysed using new modelling techniques like those from (deep) Machine Learning and Artificial Intelligence. The common goal of these is forecast the behaviour market, which can translated into various classification tasks, such as, for instance, predicting likelihood companies’ bankruptcy or in fraud detection systems. ...

Meaning is a marvellous and dreadful matter, as it is neither totally intelligible nor totally unintelligible. It cannot be considered as an univocal, closed and fixed entity, atomic in nature, universally shared and invariable in time. Rather, meaning has a complex design, composed by different facets: a referential, an inferential, and a differential one. This standpoint, which overcomes the ...

Processes of word meaning generation, word association and understanding are known to be impaired in schizophrenia and related diseases. Word meaning selection requires the involvement of prefrontal cortex and processes of working memory and selective attention. Under the dopaminergic hypothesis of schizophrenia, the normal neuromodulatory activation of prefrontal cortex for the performance of ...

The collection of methods by which human languages convey meaning is called meaning structure of a language. It includes many conventional form-meaning associations, word-order regularities, tense systems, conjunctions and quantifiers, and a fundamental predicate-argument structure. In the Dravidian language, Malayalam, the Karaka theory, is useful for both the syntax analysis and semantic anal...

This study investigated children ‘s understanding (3-, 6, 9-, and 12-year-olds) of the different levels of meaning of the cognitive verb know as defined by the Hall, Scholnick, and Hughes (1987) abstractness andconceptual dificulty hierarchy. Weness andconceptual dificulty hierarchy. We found that cognitive verb knowledge increased with development and that certain low levels of meaning were ma...

Background Adapting instruction to individual students' needs is known be effective, but there a lack of evidence whether reading skills are associated with literacy activities at classroom-level. Both the content and teachers' instructional support through management considered. Methods The data were collected in context Finland where first graders' show great variation school entry rapid prog...

This paper presents a proposal for content-enhanced syllabus model aimed at teaching and learning English in the Degree Infant Education. The addresses challenge of providing meaningful opportunities to develop linguistic communicative competence learners. It acknowledges limitations general needs approach commonly used coursebook-driven Language Teaching (ELT) within this specific context. Ins...