linguistic model

linguistic model

[liŋ′gwis·tik ′mäd·əl]
(computer science)
A method of automatic pattern recognition in which a class of patterns is defined as those patterns satisfying a certain set of relations among suitably defined primitive elements. Also known as syntactic model.
References in periodicals archive ?
FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions.
2]proposed a hierarchical hesitant fuzzy linguistic model that captures hesitant linguistic evaluations of multiple experts on multiple criteria for alternative-fuel vehicles.
While each of them based their analysis of ocultureo on a linguistic model, they arrived on opposite conclusions (even though each graduated in philosophy before turning to anthropology).
His second chapter, for example, focuses on the Long Expedition of 1819-1821 to suggest how Plains Indian languages, and in particular Plains Indian Sign Language (PISL), discomfited "a linguistic model that oscillated in its imagination between orality and print and failed largely to consider the embodied medium of Native expressive culture" (51).
Herrera, An Overview on the 2-Tuple Linguistic Model for Computing with Words in Decision Making: Extensions, Application and Challenges, Information Sciences, vol.
The linguistic model is the mathematical model of the description natural language inherent laws, constructs the linguistic model is the NLP core.
By doing this, Tolkien attempts to reinstate a meaningful tradition in which to take refuge from the ravages of the hyper-literal linguistic model of the modern world.
To overcome this restriction, Tai and Chen [32] proposed a generalized 2-tuple linguistic model and translation functions.
As mentioned earlier, it is simply impossible to be familiar with all the theoretical options available and the technical details of each linguistic model.
The Handbook of Natural Language Processing (Indurkhya & Damerau, 2010) developed the eight dimensions that are characterized the report generation which are (1) the domain covered by the generator, (2) the input data it takes, (3) language it covers, (4) the kind of user model it uses, (5) the type of data preprocessing it does, (6) the text planning model it implements, (7) the linguistic model underlying it, (8) the linguistic realization includes sentence planning tasks it carries out.
Our planned ASR system the Flexible Speech Recognition system (FlexSR) has evolved from a linguistic model of phonological representation, which is the focus of the present ERC grant.
Fortunately, Martinez and Herrera (2012) pointed out the extensions, applications and challenges on the 2-tuple linguistic model for computing with words in decision making.