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