In this paper we present a natural language interface architecture, which is used for accessing FAQ knowledge bases. Since one of the main obstacles to the efficient use of natural language interfaces is the high amount of required manual knowledge engineering, we provide an adaptive architecture to automate the acquisition of linguistic knowledge. We apply a machine learning module based on an...

Knowledge defines how an automated system transforms data into information. This paper suggests a representation method of medical imaging knowledge using fuzzy inference systems coded in XML files. The imaging knowledge incorporates features of the investigated objects in linguistic form and inference rules that can transform the linguistic data into information about a possible diagnosis. A f...

Natural Language Generation (NLG) systems can make data accessible in an easily digestible textual form; but using such systems requires sophisticated linguistic and sometimes even programming knowledge. We have designed and implemented an environment for creating and modifying NLG templates that requires no programming knowledge, and can operate with a minimum of linguistic knowledge. It allow...

The development of natural language interfaces to Artificial Intelligence systems is dependent on the representation of knowledge. A major impediment to building such systems has been the difficulty in adding sufficient linguistic and conceptual knowledge to extend and adapt their capabilities. This difficulty has been apparent in systems which perform the task of language production, i. e. the...

There are several di erent ways data mining the automatic induction of knowledge from data can be applied to the problem of natural language processing In the past data mining techniques have mainly been used in linguistic engineering applications to solve knowledge acquisition bottlenecks In this paper we show that they can also assist in linguistic theory formation by providing a new tool for...

the aim of this study was to investigate the role of linguistic and intelligence factors in the iranian ielts candidates’ speaking performance. linguistic factors include depth and breadth of vocabulary knowledge as well as grammar knowledge. narrative and verbal intelligences represent the non-linguistic factors. the participants included 329 learners who took 5 validated tests and also partic...

There are several diierent ways data mining (the automatic induction of knowledge from data) can be applied to the problem of natural language processing. In the past, data mining techniques have mainly been used in linguistic engineering applications to solve knowledge acquisition bottlenecks. In this paper, we show that they can also assist in linguistic theory formation by providing a new to...

Minority students’ English learning is a special and an indispensable component of English education system in China. This article studies students’ linguistic knowledge that live in Northwestern China – Gan Nan Autonomy State of Gan Su Province with majority population of Tibetan, mixed with Chinese and some Muslim. An analogous analysis is conducted between L2 students (Chinese students who l...