Incidental Vocabulary Learning: a Semantic Field Approach

This study is an attempt to explore the difference between acquiring new words with different semantic fields to which they belong. In other words, the purpose of this study is to scrutinize the contribution of semantic field theory in learning new vocabulary items in an EFL setting. Thirty-eight students of

Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand. In this paper the authors discuss an traditional approach to

Genetic Algorithms Principles Towards Hidden Markov Model

In this paper we propose a general approach based on Genetic Algorithms (GAs) to evolve Hidden Markov Models (HMM). The problem appears when experts assign probability values for HMM, they use only some limited inputs. The assigned probability values might not be accurate to serve in other cases related to

Comparison of Fuzzy Diagnosis with K-Nearest Neighbor and NaïVe Bayes Classifiers in Disease Diagnosis

The main objective of this paper is to investigate the performance of fuzzy disease diagnosis by comparing its results with two statistical classification methods used in the diagnosis of diseases namely the K-Nearest Neighbor and the Naïve Bayes classifiers. The comparisons were made using the latest XLMiner® and Medcalc® statistical

Searching the Arcane Origins of Fuzzy Logic

It is well-known that Artificial Intelligence requires Logic. But its Classical version shows too many insufficiencies. So, it is very necessary to introduce more sophisticated tools, as may be Fuzzy Logic, Modal Logic, Non-Monotonic Logic, and so on. When you are searching the possible precedent of such new ideas, we

Potential Predictability of Zpd of Children’s Cognitive Development

Obtaining information on whether the child has the potential for growth is not an easy task. Research shows that using different matrix like Raven or different batteries in a static way cannot be indicative of children further development. This study attempts to probe the potential predictability of children’s performance during

The Implication of Chaos/Complexity Theory into Second Language Acquisition

With the advances in Quantum physics and meteorology, science has moved towards more uncertainty and unpredictability (Larsen-Freeman, 2002) [12]. This has resulted in the emergence of Chaos/Complexity Science (Valle, 2000) [20], or Theory (Larsen-Freeman, 1997) [11], and Dynamic System Theory (De Bot, Lowie, & Verspoor, 2007) [3]. As Larsen-Freeman (1997)

Theoretical Relevance of Neuropsychological Data for Connectionist Modelling

The symbolic information-processing paradigm in cognitive psychology has met a growing challenge from neural network models over the past two decades. While neuropsychological evidence has been of great utility to theories concerned with information processing, the real question is, whether the less rigid connectionist models provide valid, or enough, information

Development an Automatic Speech to Facial Animation Conversion for Improve Deaf Lives

In this paper, we propose design and initial implementation of a robust system which can automatically translates voice into text and text to sign language animations. Sign Language Translation Systems could significantly improve deaf lives especially in communications, exchange of information and employment of machine for translation conversations from one