This paper presents an experiment concerning the relative effectiveness of computer assisted comprehension practice and production practice in the acquisition of a second language. Two computer programs were developed: (a) an input-focused program providing students with explicit grammatical instruction and comprehension exercises and (b) an output-focused program providing the same grammatical...

The current review article investigates some variables contributing to English language teaching and learning. Three factors of age, motivation and error correction have been of importance in English language curricula in language centres. Some studies have been conducted to investigate various effects of these three components on English language acquisition, those studies, however, may lack d...

Topological information has proven very valuable in the analysis of scientific data. An important challenge that remains is presenting this highly abstract information in a way that it is comprehensible even if one does not have an in-depth background in topology. Furthermore, it is often desirable to combine the structural insight gained by topological analysis with complementary information, ...

Speech synthesizers are optimized for fluent natural text. However, in a speech to speech translation system, they have to process machine translation output, which is often not fluent. Rendering machine translations as speech makes them even harder to understand than the synthesis of natural text. A speech synthesizer must deal with the disfluencies in translations in order to be comprehensibl...

machine have demonstrated superior performance to many other classification techniques in a variety of application areas. However, they provide highly accurate model but they have an inability to provide an explanation, or comprehensible justification, for the solutions they provide as the output produce is in the form of weights and nodes [2]. Some techniques like decision tree provide compreh...

Accurate prediction is probably the most pursued objective when solving real problems with machine learning, but there are situations where, added to the prediction, it is important to obtain a comprehensible output. The aim of this work is to compare the behaviour of two strategies to combine the knowledge of m classifiers in a single one in order to maintain the explaining capacity of the fin...