this paper reports the results of a study designed to investigate the interrelationship of foreign language reading anxiety (flra), reading proficiency (rp) and text feature awareness (tfa). the aim was to focus on how foreign language reading anxiety and text feature awareness are related and how, in turn, they affect students reading proficiency. that is, it south to determine how these three...

This paper reports the results of a study designed to investigate the interrelationship of Foreign Language Reading Anxiety (FLRA), Reading Proficiency (RP) and Text Feature Awareness (TFA). The aim was to focus on how foreign language reading anxiety and text feature awareness are related and how, in turn, they affect students reading proficiency. That is, it south to determine how these three...

with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...

Corpus studies of native speaker and learner language have been influential in informing syllabus design and course content in foreign or second language (L2) teaching. Corpora can also be explored directly by the learner, in what Johns (1991) has called ―data-driven learning‖ (DDL). Such an approach is alleged to have many advantages, including fostering learner autonomy, increasing language a...

With the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. One of the major problems in text classification relates to the high dimensional feature spaces. Therefore, the main goal of text classification is to reduce the dimensionality of features space. There are many feature selection methods. However...

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...