In the era of IR4.0, Natural Language Processing (NLP) is one major focuses because text stored digitally to code information. language understanding requires a computational grammar for syntax and semantics in question this information be manipulated digitally. Many languages around world have their own grammars processing semantics. However, when it comes Malay language, researchers yet come ...

The paper presents an architecture for connecting annotated linguistic data with a computational grammar system. Pivotal to the architecture is an annotational interlingua – called the Construction Labeling system (CL) which is notationally very simple, descriptively finegrained, cross-typologically applicable, and formally well-defined enough to map to a state-of-the-art computational model of...

In this paper, I give an overview of an ongoing project which aims at building a full-scale computational grammar for Georgian in the Lexical Functional Grammar framework and try to illustrate both practical and theoretical aspects of grammar development. The rich and complex morphology of the language is a major challenge when building a computational grammar for Georgian that is meant to be m...

In general a grammar describes a (possibly infinite) set of sentences with a finite structural description. Computational Grammar Induction (CGI) deals with the creation of computational models for identification of these infinite sets on the basis of a finite set of examples. CGI is a field in its own right, with its own internal research questions, many of which have no direct impact on the s...

Automata theory plays a key role in computational theory as many computational problems can be solved with its help. Formal grammar is a special type of automata designed for linguistic purposes. Formal grammar generates formal languages. Rough grammar and rough languages were introduced to incorporate the imprecision of real languages in formal languages. These languages have limitations on un...