This article aims at discussing the importance of grammatical studies from 1970´s until decade 2010 through texts published by emeritus Professor Dr. Evanildo Bechara, prominent philologist, grammarian and linguist. Our focus will be on last few years 1970s, with publication book “Ensino de Gramática. Oppression? Liberdade?” (“The Teaching Grammar: Liberty?”), in which he stated an intriguing r...

Grammar is an essential part of English teaching in senior high schools. Based on constructivist theory, the author observes eight grammar classes which are selected from high-quality competition Nanning No.15 Middle School, aiming at answering following questions through classroom observation: (1) What major models teachers use school ? (2) activities do adopt school’s teaching? After collecti...

This paper presents a multimedia intelligent tutoring system that teaches context-free grammar. The tutor model of this ITS is composed of a set of teaching strategies and an algorithm that determines which teaching action to be deployed given the goals of the system and the current state of the student model. The student model uses the Constraint-Based Modeling (CBM) approach in diagnosing the...

This paper intends to study the effect of explicit-inductive and explicit-deductive grammar instruction on the acquisition of relative clauses by Persian learners of English. The two intact classes were randomly assigned to one of the treatments, inductive or deductive. Both groups received instruction about English relative clauses using the explicit-inductive (experimental group), or the expl...

The genetic programming (GP) paradigm is a functional approach to inductively forming programs. The use of natural selection based on a tness function for reproduction of the program population has allowed many problems to be solved that require a non-xed representation. Attempts to extend GP have focussed on typing the language to restrict crossover and to ensure legal programs are always crea...

Unsupervised dependency parsing aims to learn a dependency grammar from text annotated with only POS tags. Various features and inductive biases are often used to incorporate prior knowledge into learning. One useful type of prior information is that there exist correlations between the parameters of grammar rules involving different POS tags. Previous work employed manually designed features o...