is the presence of some of the weaknesses in the second Stage of pupil's basic education in the collection of grammatical concepts, which affects the critical thinking skills they have. This was confirmed by the results of

Abstract not found

, single-type, and regular); (2) classification and comparison of schema languages (DTD, W3C XML Schema, and RELAX NG) based on these classes; (3) efficient document validation algorithms for these classes; and (4) other grammatical concepts and advanced validation algorithms relevant to an XML model (e

are exploited to characterise the so-called “abstract ” concepts that constitute the meanings of grammatical constructions and general inference patterns.

Semantic category-specific deficit

The marking of aspect in the past tense in French: The role of languaging abstract grammatical concepts

Abstract. This proof of concept study examines the possibility of spe-cifying the construction of programs using a Particle Swarm algorithm, and represents a new form of automatic programming based on Social Learning, Social Programming or Swarm Programming. Each individual particle represents

be exploited for testing linguistic hypotheses. As a model for graded grammaticality, we propose an extended version of Optimality Theory, relying on the concept of ranked grammatical constraints that is independently motivated in Optimality Theory. In this approach, the ranking of constraints induces a

We present an approach to statistical machine translation that combines ideas from phrase-based SMT and traditional grammar-based MT. Our system incorporates the concept of multi-word translation units into transfer of dependency structure snippets, and models and trains statistical components

We describe a computational model of the acquisition of early grammatical constructions that exploits two essential features of the human language learner: significant prior knowledge of concepts and individual lexical items, and sensitivity to the statistical properties of the input data