The under-resourced Kikamba language has few language technology tools since the more efficient and popular data driven approaches for developing them suffer from data sparseness due to lack of digitized corpora. To a...The under-resourced Kikamba language has few language technology tools since the more efficient and popular data driven approaches for developing them suffer from data sparseness due to lack of digitized corpora. To address this challenge, we have developed a computational grammar for the Kikamba language within the multilingual Grammatical Framework (GF) toolkit. GF uses the Interlingua rule-based translation approach. To develop the grammar, we used the morphology driven strategy. Therefore, we first developed regular expressions for morphology inflection and thereafter developed the syntax rules. Evaluation of the grammar was done using one hundred sentences in both English and Kikamba languages. The results were an encouraging four n-gram BLEU score of 83.05% and the Position independent error rate (PER) of 10.96%. Finally, we have made a contribution to the language technology resources for Kikamba including multilingual machine translation, a morphology analyzer, a computational grammar which provides a platform for development of multilingual applications and the ability to generate a variety of bilingual corpora for Kikamba for all languages currently defined in GF, making it easier to experiment with data driven approaches.展开更多
The teaching and learning of grammar used to be processed at the sentence level with paying little attention to discourse and context. Students were familiar with a lot of grammatical terms and were able to remember m...The teaching and learning of grammar used to be processed at the sentence level with paying little attention to discourse and context. Students were familiar with a lot of grammatical terms and were able to remember many rules. However, they often wondered why they could not use English properly and fluently although they had learned the grammatical rules quite well. This essay, taking grammar as resource for communication, suggests an approach by using ideational frameworks to the teaching and learning of grammar in a communicative context.展开更多
Low-carbon living represents both a new lifestyle and an environmental responsibility vital for sustainable development,positioning it as a central theme in environmental public service advertisements(PSAs).This resea...Low-carbon living represents both a new lifestyle and an environmental responsibility vital for sustainable development,positioning it as a central theme in environmental public service advertisements(PSAs).This research employs a multimodal discourse analysis approach to examining eight public service posters advocating low-carbon living from Xinhua News Agency,primarily utilizing the visual grammar framework established by Kress and Van Leeuwen.The study explores these posters through three key perspectives:representational meaning,interactive meaning,and compositional meaning.By analyzing the interplay between visual and linguistic modalities,this research contributes to the overall understanding of public service posters and supports the promotion of China’s low-carbon development initiatives.展开更多
文摘The under-resourced Kikamba language has few language technology tools since the more efficient and popular data driven approaches for developing them suffer from data sparseness due to lack of digitized corpora. To address this challenge, we have developed a computational grammar for the Kikamba language within the multilingual Grammatical Framework (GF) toolkit. GF uses the Interlingua rule-based translation approach. To develop the grammar, we used the morphology driven strategy. Therefore, we first developed regular expressions for morphology inflection and thereafter developed the syntax rules. Evaluation of the grammar was done using one hundred sentences in both English and Kikamba languages. The results were an encouraging four n-gram BLEU score of 83.05% and the Position independent error rate (PER) of 10.96%. Finally, we have made a contribution to the language technology resources for Kikamba including multilingual machine translation, a morphology analyzer, a computational grammar which provides a platform for development of multilingual applications and the ability to generate a variety of bilingual corpora for Kikamba for all languages currently defined in GF, making it easier to experiment with data driven approaches.
文摘The teaching and learning of grammar used to be processed at the sentence level with paying little attention to discourse and context. Students were familiar with a lot of grammatical terms and were able to remember many rules. However, they often wondered why they could not use English properly and fluently although they had learned the grammatical rules quite well. This essay, taking grammar as resource for communication, suggests an approach by using ideational frameworks to the teaching and learning of grammar in a communicative context.
基金the Guangzhou University Postgraduate Training Program for Innovation“Ecological discourse analysis of news reports on marine life conservation in China Daily(2020-2024)from the perspective of attitudinal resources”(Code:JCCX2024-041).
文摘Low-carbon living represents both a new lifestyle and an environmental responsibility vital for sustainable development,positioning it as a central theme in environmental public service advertisements(PSAs).This research employs a multimodal discourse analysis approach to examining eight public service posters advocating low-carbon living from Xinhua News Agency,primarily utilizing the visual grammar framework established by Kress and Van Leeuwen.The study explores these posters through three key perspectives:representational meaning,interactive meaning,and compositional meaning.By analyzing the interplay between visual and linguistic modalities,this research contributes to the overall understanding of public service posters and supports the promotion of China’s low-carbon development initiatives.
