The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

We describe extensions to a scheme for evaluating parse selection accuracy based on named grammatical relations between lemmatised lexical heads. The scheme is intended to directly reflect the task of recovering grammatical and logical relations, rather than more arbitrary details of tree topology. There is a manually annotated test suite of 500 sentences which has been used by several groups t...

Homogenous Charge Compression Ignition (HCCI) engines hold promise of high fuel efficiency and low emission levels for future green vehicles. But in contrast to gasoline and diesel engines, HCCI engines suffer from lack of having direct means to initiate combustion. A combustion timing controller with robust tracking performance is the key requirement to leverage HCCI application in production ...

This paper introduces a Dialog-Based Computer-Assisted secondLanguage Learning (DB-CALL) system using semantic and grammar correctness evaluations and the results of its experiment. While the system dialogues with English learners about a given topic, it automatically evaluates the grammar and content properness of their English utterances, then gives corrective feedback on grammar and semantic...

In this paper, we present a methodology for the development of a user model for CALL which captures various levels of language acquisition using individualized overlays supported with stereotypes. Our current focus is the empirical analysis of the order of written English grammatical structure acquisition in our learner population used to develop stereotype layers in our model. We are currently...

This study is conducted under the domain of Vygotskian Socio-cultural Theory (SCT) of mind and the notion of dynamic assessment to elevate the linguistic accuracy of EFL learners’ writing skill. 40 homogenous intermediate EFL learners from four intact classes were divided into two dynamic assessment (DA) and non-dynamic assessment (NDA) groups. As a pre-test, the participants were given writing...

This paper proposes a method for evaluating grammatical error detection methods to maximize the learning effect obtained by grammatical error detection. To achieve this, this paper sets out the following two hypotheses — imperfect, rather than perfect, error detection maximizes learning effect; and precisionoriented error detection is better than a recall-oriented one in terms of learning effec...