Tag Archives: Natural language

The Lexis Praxis of Code-Switching By High School Teachers in Elucidating Multifaceted Problems in Sciences and Mathematics Fijian Classrooms (Published)

This explanatory study has investigated the use of code-switching by high school teachers in elucidating multifaceted problems, who are subject-area specialists in sciences and mathematics Fijian classrooms. The data for this study were obtained from twelve science teachers and twelve mathematics from randomly selected high schools ranging from Ba to Rakiraki corridors, Fiji. English as the second language and Fiji-Hindi as the first language was used for the comparative analysis of data throughout this study. A structured and semi-structured research questionnaire was used as a tool to collate the data needed for this study. The collected data was analysed through a coding system using Gumperz’s semantic model of conversational code-switching. According to the results of the research, sciences and mathematics high school teachers used code-switching as an applied linguistics learning strategical tool towards assisting the learners in acquiring complex problems using natural language verbalisation.

Keywords: Code Switching, Mathematics, Multilingualism, Natural language, bilingualism, sciences

A COMPUTERIZED IDENTIFICATION SYSTEM FOR VERB SORTING AND ARRANGEMENT IN A NATURAL LANGUAGE: CASE STUDY OF THE NIGERIAN YORUBA LANGUAGE (Published)

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 (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