• Research in Mathematical Education
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• v.8 no.1
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• pp.31-37
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• 2004

This study explores the relations between mathematics and the natural human language. At the very outset, a general definition of language was, given while it was attempted to make some comparisons between the words of natural language and mathematical symbols at that. Besides, the occupation of natural language functions within mathematics was handled. Consequently, it was tried to manifest that the language of mathematics enjoys the features of natural language as well. Mathematics makes use of many functional and structural features. The fact that fundamental ingredient of mathematics is symbols does not change this reality.

• Journal of Korean language education
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• v.29 no.1
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• pp.139-161
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• 2018

This study aims to investigate factors that are important for Korean language faculty and learners in Thai universities with focus on factors that constitute characteristics of desirable Korean language teachers. This study also analyzes the difference in perception between the faculty and learners to enhance the qualities of Korean language teachers in Thailand. The demand for Korean language learners is explosive in Thailand as Korean language has been adopted as a college entrance examination subject since the 2018 school year. As a result, the Thai government has increased the number of Korean language education institutions to reflect the rapidly increasing demand of Korean language learners, but Korean language education in Thailand has only achieved quantitative growth and has made little in the way of qualitative growth. In this respect, it is meaningful to compare the qualities of the Korean language teachers in the Korean language faculty of Thai universities with the qualities that learners perceive Korean language teachers should have, which ultimately can enhance the quality of Thai Korean language teachers and help the learners to learn more effectively.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.249-254
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• 1997

영어 웹 문서를 한국어로 기계번역을 하기 위해서는 HTML 태그를 번역 대상 문장과 분리하는 처리가 필요하다. HTML 태그를 단순히 제거하는 것이 아니라 대상 문장의 기계번역이 종료된 후에 같은 형태의 한국어 웹 문서로 복원하기 위한 방안이 마련 되어야 한다. 또한 문서 전처리기에서는 영어 형태소해석기의 성능을 높이기 위하여 번역 단위가 되는 문장의 인식 및 분리, 타이틀의 처리, 나열된 단어의 처리, 하이픈 처리, 고유명사 인식, 특수 문자 처리, 대소문자 정규화, 날짜 인식 등을 처리하여 문서의 정규화를 수행한다.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.273-283
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• 2022

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA's default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

• Journal of Information Science Theory and Practice
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• v.8 no.4
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• pp.67-86
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• 2020

Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a query can be a poor representation of the information need because the user can find it difficult to express the information need. Query Expansion (QE) is being popularly used to address this limitation. While QE can be considered as a language-independent technique, recent findings have shown that in certain cases, language plays an important role. Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning and has high morphological complexity. This paper, therefore, provides a review on QE for Arabic information retrieval, the intention being to identify the recent state-of-the-art of this burgeoning area. In this review, we primarily discuss statistical QE approaches that include document analysis, search, browse log analyses, and web knowledge analyses, in addition to the semantic QE approaches, which use semantic knowledge structures to extract meaningful word relationships. Finally, our conclusion is that QE regarding the Arabic language is subjected to additional investigation and research due to the intricate nature of this language.

• Research in Mathematical Education
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• v.18 no.2
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• pp.149-170
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• 2014

The Vietnamese language has a specific property related to the zero in the name-number system. This study was conducted to examine the impact of linguistic differences and of the zero's position in a number on a transcoding task (verbal number into Arabic number). Vietnamese children and French-speaking Belgian children, from grades 3 to 6, participated in the study. The success rate and the type of errors they made varied, depending on their grade and language. At Grade 4, Vietnamese children showed performances equivalent to Grade 6 Belgian children. Our results confirmed the support provided by language to the understanding and performances in a transcoding task. Results also showed that a syntactic zero is easier to manipulate than a lexical zero for Vietnamese children. The relative influence of language and the source of errors are discussed.

• ETRI Journal
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• v.42 no.1
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• pp.90-100
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• 2020

Named entity recognition (NER) continues to be an important task in natural language processing because it is featured as a subtask and/or subproblem in information extraction and machine translation. In Urdu language processing, it is a very difficult task. This paper proposes various deep recurrent neural network (DRNN) learning models with word embedding. Experimental results demonstrate that they improve upon current state-of-the-art NER approaches for Urdu. The DRRN models evaluated include forward and bidirectional extensions of the long short-term memory and back propagation through time approaches. The proposed models consider both language-dependent features, such as part-of-speech tags, and language-independent features, such as the "context windows" of words. The effectiveness of the DRNN models with word embedding for NER in Urdu is demonstrated using three datasets. The results reveal that the proposed approach significantly outperforms previous conditional random field and artificial neural network approaches. The best f-measure values achieved on the three benchmark datasets using the proposed deep learning approaches are 81.1%, 79.94%, and 63.21%, respectively.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.192-201
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• 2007

This paper is a study on constructing a natural language interface to database, concentrating on generating textual answers. TGEN, a system that generates textual answer from query result tables is presented. The TGEN architecture guarantees its portability across domains. A combination of a frame-based approach and natural language generation techniques in the TGEN provides text fluency and text flexibility. The implementation result shows that this approach is feasible while a deep NLG approach is still far to be reached.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.487-491
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• 2020

Objectives: Reproductive health education is essential for adolescents with hearing impairment. Since they communicate using specialized language (i.e., sign language), specialized reproductive health services in sign language is a necessity. This study aimed to describe the needs, availability, and expectations of reproductive health services among adolescents with hearing impairment. Methods: This study used a qualitative approach. It was carried out at a school for children with special needs in the city of Denpasar, Bali, Indonesia. Data were collected by in-depth interviews. The informants were 6 adolescents with hearing impairment aged 16-17 years and 4 other key informants, including school staff and health officers. The data were then analyzed using the thematic method. Results: We found that the informants had insufficient knowledge regarding reproductive health. There was no specific subject in the curriculum regarding this issue. Teachers did not specifically provide reproductive health information. The health service unit in the school had not been utilized well for this purpose. Furthermore, no reproductive health services were provided due to the limited number of healthcare workers who could use sign language. Conclusions: The awareness and intentions of adolescents with hearing impairment regarding access to reproductive health services remain low. Health service units at schools should be optimized to enable schools to provide reproductive health information and services for these adolescents.

• English Language & Literature Teaching
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• v.7 no.2
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• pp.103-114
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• 2002

Language plays a central role in everyday communication activities. Therefore, an individual need to be able to use language to communicate with confidence and without fear. One of the major fears that people have is the fear of communication. This fear is most of the time due to a lack of confidence in communicating in a particular language or due to poor proficiency in the language. In some cases it can also be due to attitudinal problems. In the context of teaching and learning English as a second or foreign language, students can have a great fear of using English with confidence. This fear can be an acute one and thus students may avoid using English to communicate. However, non native speakers of English need to be highly competent in the use of the English language for a variety of communicative purposes particularly in meeting the challenges of globalisation and that of the digital age. This article presents some insights on language apprehension found among communication undergraduates who are non native speakers of English.