Recently, there has been a rebirth of empiricism in the field of natural language processing. Manual encoding of linguistic information is being challenged by automated corpus-based learning as a method of providing a natural language processing system with linguistic knowledge. Although corpus-based approaches have been successful in many different areas of natural language processing, it is o...

Since quantifiers have the ability of summarizing the properties of a class of objects without enumerating them, linguistic quantification is a very important topic in the field of high level knowledge representation and reasoning. This paper introduces a new framework for modeling quantifiers in natural languages in which each linguistic quantifier is represented by a family of fuzzy measures,...

This paper illustrates an agent-based simulation model focused on the acquisition of linguistic skills. Populations of simulated agents controlled by dynamical neural networks are trained by artificial evolution to perfom two tasks: the behaviour-production task which consists in accessing and executing linguistic instructions; and the behaviourrecognition task which consists in linguistically ...

The purpose of this investigation was to specify the kinds of miscomprehensions produced by individuals listening to synthetic speech. In the first study, 80 written summaries of synthesized speech passages were analyzed to determine the types of miscomprehensions or linguistic departures made by listeners when attempting to recall the spoken texts. These departures were classified according to...

According to prevailing views, brain organization is modulated by practice, e.g., during musical or linguistic training. Most recent results, using both neuropsychological tests and brain measures, revealed an intriguing connection between musical aptitude and second language linguistic abilities. A significant relationship between higher musical aptitude, better second language pronunciation s...

This paper presents an algorithm to extract rules relating input/output data and including prior knowledge. The rules are created in the environment of fuzzy systems. The fuzzy sets describing the system are constructed within a framework of linguistic integrity to guarantee its interpretability in the linguistic context. Two algorithms are presented in this paper. The main algorithm is the aut...

This study investigates methods to automatically assess the features of content texts within an intelligent tutoring system (ITS). Coh-Metrix was used to calculate linguistic indices for texts (n = 66) within the reading strategy ITS, iSTART. Coh-Metrix indices for the system texts were compared to students’ (n = 126) self-explanation scores to examine the degree to which linguistic indices pre...

Language transfer, the characteristic second language usage patterns caused by native language interference, is investigated by Second Language Acquisition (SLA) researchers seeking to find overused and underused linguistic features. In this paper we develop and present a methodology for deriving ranked lists of such features. Using very large learner data, we show our method’s ability to find ...

Users of Natural Language Generation systems are required to have sophisticated linguistic and sometimes even programming knowledge, which has hindered the adoption of this technology by individuals outside the computational linguistics research community. We have designed and implemented a visual environment for creating and modifying NLG templates which requires no programming ability and min...

this paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. we extend the use o...