A Lexico-Cognitive Study of the Forms of Intensification in Arabic Within the Framework of Gradeability by Force (Published)
The present paper deals with gradeability by force in reference to intensification. Gradeability represents a different semantic relationship in which the graduated entity can raise the volume of attitude up/down or in-between. The study aims to unearth how the linguistic phenomenon of gradeability works in Arabic. There is a detailed description of the grammatical, morphological, and lexical features of intensification. The study tackles the linguistic phenomenon of intensification at the classical level demonstrating the writer-reader relationship. In Conclusion, getting familiar with the forms of gradeability enables the speaker to have different attitudinal positions instead of the state of dichotomy.
Keywords: Force, Grammar, Morphology, attitudinal positioning, emphasizers, gradeability, intensification, particles
A Lexico-Cognitive Study of the Forms of Quantification in Arabic Within the Framework of Gradeability by Force (Published)
The present paper tackles the linguistic phenomenon of quantification which is the second source of gradeability by force. Quantification is an important aspect in semantic relationships. The study adopts a lexical-cognitive approach. The process of analysis reveals the lexical, grammatical, and morphological features of quantification. Moreover, it unearths the rhetorical functions of the forms of gradeability in reference to quantification. In conclusion, the study shows that quantification is useful for language learners and translators. Moreover, it proves important at the social, cognitive and logical levels.
Keywords: Cognition, Morphology, Quantification, Semantics, gradeability, lexicality
A Morphological Analysis of feature articles in the Print Media (Published)
This paper entitled “A Morphological Analysis of feature articles in the the Print Media” attempts a survey of the language use in feature articles in The Nation and The Chronicles Newspapers using Critical Case Purposive sampling technique, One human interest and seasonal feature article was chosen each from the newspapers under study. The Halliday’s Systemic Functional Grammar was used to analyse the language use in the selected feature articles.The research examines the language used in nigerian feature articles using lexico-morphological sub-linguistic approach. The paper revealed that the language of nigerian feature articles holds noticeable rareness in its lexico-morphology, it showed significant linguistic deviations pertaining to word formation and lexical meaning. The study further emphasized that the feature article writers use their own peculiar approach to writing which could be in form of word-coinages, informal expressions, captivating images or use of indigenous languages to communicate the intended information. The paper therefore concludes that the language of feature articles is affected by the perspective of the writer.
Keywords: Morphology, Print Media, feature articles, the Nation Newspapers and the Chronicles Newspapers
A COMPUTERIZED IDENTIFICATION SYSTEM FOR VERB SORTING AND ARRANGEMENT IN A NATURAL LANGUAGE: CASE STUDY OF THE NIGERIAN YORUBA LANGUAGE (Review Completed - Accepted)
The context of Understanding has continued to be a major attraction to researchers in Natural Language Processing. This is built on the theory that language can be used effectively if it is understood and can be analyzed and as such, most Natural Language Processing research tend towards the belief that the human brain has a section dedicated for language analysis and understanding therefore, human ambiguity which, remains the major difference between natural and computer languages, can be modeled using appropriate man machine modeling tools since programming languages are designed to be unambiguous, that is, they can be defined by a grammar that produces a unique parse for each sentence in the language. The paper evaluates the classification process for a Natural language ‘the Yoruba language’ and presents a new method by which the language can be transformed into a computer understandable language using its morphological identification framework. Result shows that the approach is admissibly in line with known benchmarks. The paper recommends that non tonal language can also be experimented using the defined approach
Keywords: Model, Morphology, Natural language, Tonal Language, Yoruba
A COMPUTERIZED IDENTIFICATION SYSTEM FOR VERB SORTING AND ARRANGEMENT IN A NATURAL LANGUAGE: CASE STUDY OF THE NIGERIAN YORUBA LANGUAGE ()
The context of Understanding has continued to be a major attraction to researchers in Natural Language Processing. This is built on the theory that language can be used effectively if it is understood and can be analyzed and as such, most Natural Language Processing research tend towards the belief that the human brain has a section dedicated for language analysis and understanding therefore, human ambiguity which, remains the major difference between natural and computer languages, can be modeled using appropriate man machine modeling tools since programming languages are designed to be unambiguous, that is, they can be defined by a grammar that produces a unique parse for each sentence in the language. The paper evaluates the classification process for a Natural language ‘the Yoruba language’ and presents a new method by which the language can be transformed into a computer understandable language using its morphological identification framework. Result shows that the approach is admissibly in line with known benchmarks. The paper recommends that non tonal language can also be experimented using the defined approach.
Keywords: Model, Morphology, Natural language, Tonal Language, Yoruba