Search results

1 – 10 of over 7000
To view the access options for this content please click here
Article

Vincent Tam

Learning Chinese is unquestionably very important and popular worldwide with the fast economic growth of China. To most foreigners and also local students, one of the…

Abstract

Purpose

Learning Chinese is unquestionably very important and popular worldwide with the fast economic growth of China. To most foreigners and also local students, one of the major challenges in learning Chinese is to write Chinese characters in correct stroke sequences that are considered as significant in the Chinese culture. However, due to the potentially complicated structures of Chinese characters together with their stroke sequences, there are very few character recognition techniques that can effectively tackle the involved training task in an efficient and flexible manner. The purpose of this paper is to propose an intelligent and flexible e‐learning software based on learning objects to facilitate the learning of writing Chinese characters in correct stroke sequences.

Design/methodology/approach

The paper adopts an incremental approach in designing the overall system architecture to emphasize on extendibility of the system. The basic features of the system including the evolution and pronunciation of each Chinese character can be embedded as a part of the learning object metadata to enhance students' understanding of Chinese characters. To demonstrate the feasibility of this proposal, a prototype of the proposed e‐learning software was built on smartphones such that students can learn anytime and anywhere.

Findings

From the empirical evaluation of the e‐learning prototype for learning to write correct Chinese characters on mobile devices, it was found that foreign students can learn and practise the writing more effectively anytime and anywhere on their mobile devices after classes. Some initial positive feedback was collected. Furthermore, a more careful and thorough evaluation is planned to be conducted in relevant courses for foreign students in the upcoming Fall semester.

Originality/value

This proposal represents the first attempt to reduce the complexity while increasing the extendibility of the e‐learning software to learn Chinese through learning objects running on smartphones or mobile devices in general. More importantly, it opens up numerous opportunities for further investigations including possible integrations with other existing Chinese e‐learning systems.

Details

Interactive Technology and Smart Education, vol. 9 no. 4
Type: Research Article
ISSN: 1741-5659

Keywords

To view the access options for this content please click here
Article

Qiujun Lan, Haojie Ma and Gang Li

Sentiment identification of Chinese text faces many challenges, such as requiring complex preprocessing steps, preparing various word dictionaries carefully and dealing…

Abstract

Purpose

Sentiment identification of Chinese text faces many challenges, such as requiring complex preprocessing steps, preparing various word dictionaries carefully and dealing with a lot of informal expressions, which lead to high computational complexity.

Design/methodology/approach

A method based on Chinese characters instead of words is proposed. This method represents the text into a fixed length vector and introduces the chi-square statistic to measure the categorical sentiment score of a Chinese character. Based on these, the sentiment identification could be accomplished through four main steps.

Findings

Experiments on corpus with various themes indicate that the performance of proposed method is a little bit worse than existing Chinese words-based methods on most texts, but with improved performance on short and informal texts. Especially, the computation complexity of the proposed method is far better than words-based methods.

Originality/value

The proposed method exploits the property of Chinese characters being a linguistic unit with semantic information. Contrasting to word-based methods, the computational efficiency of this method is significantly improved at slight loss of accuracy. It is more sententious and cuts off the problems resulted from preparing predefined dictionaries and various data preprocessing.

Details

Information Discovery and Delivery, vol. 46 no. 1
Type: Research Article
ISSN: 2398-6247

Keywords

To view the access options for this content please click here
Article

Jack Cain

This article describes the major aspects involved in the development, by Utlas, of a shared cataloguing system capable of handling Chinese ideographic data. Utlas has been…

Abstract

This article describes the major aspects involved in the development, by Utlas, of a shared cataloguing system capable of handling Chinese ideographic data. Utlas has been involved in the processing of various Asian languages including Japanese and Korean for several years. An outline of the various options available for processing Chinese characters is given. Retrieval mechanisms suitable for the Chinese language are also discussed.

Details

Program, vol. 24 no. 2
Type: Research Article
ISSN: 0033-0337

To view the access options for this content please click here
Article

Clément Arsenault

Aims to measure syllable aggregation consistency of Romanized Chinese data in the title fields of bibliographic records. Also aims to verify if the term frequency…

Abstract

Purpose

Aims to measure syllable aggregation consistency of Romanized Chinese data in the title fields of bibliographic records. Also aims to verify if the term frequency distributions satisfy conventional bibliometric laws.

Design/methodology/approach

Uses Cooper's interindexer formula to evaluate aggregation consistency within and between two sets of Chinese bibliographic data. Compares the term frequency distributions of polysyllabic words and monosyllabic characters (for vernacular and Romanized data) with the Lotka and the generalised Zipf theoretical distributions. The fits are tested with the Kolmogorov‐Smirnov test.

Findings

Finds high internal aggregation consistency within each data set but some aggregation discrepancy between sets. Shows that word (polysyllabic) distributions satisfy Lotka's law but that character (monosyllabic) distributions do not abide by the law.

Research limitations/implications

The findings are limited to only two sets of bibliographic data (for aggregation consistency analysis) and to one set of data for the frequency distribution analysis. Only two bibliometric distributions are tested. Internal consistency within each database remains fairly high. Therefore the main argument against syllable aggregation does not appear to hold true. The analysis revealed that Chinese words and characters behave differently in terms of frequency distribution but that there is no noticeable difference between vernacular and Romanized data. The distribution of Romanized characters exhibits the worst case in terms of fit to either Lotka's or Zipf's laws, which indicates that Romanized data in aggregated form appear to be a preferable option.

Originality/value

Provides empirical data on consistency and distribution of Romanized Chinese titles in bibliographic records.

Details

Journal of Documentation, vol. 62 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

To view the access options for this content please click here
Article

Xun Deng and Liangyan Wang

The purpose of this study is to examine the influence of semantic fluency on consumers' aesthetic evaluation in graphic designs with text and the mediating effect of…

Abstract

Purpose

The purpose of this study is to examine the influence of semantic fluency on consumers' aesthetic evaluation in graphic designs with text and the mediating effect of visual complexity in this relationship.

Design/methodology/approach

The hypotheses are examined in three experiments. Experiments 1 and 2 both verify that Chinese consumers rated the designs with low (vs high) semantic fluency words as more beautiful, and Experiment 3 further confirmed this effect in non-Chinese speakers.

Findings

Confirmed by Chinese and non-Chinese consumers, high fluency text leads to lower perceived visual complexity and less aesthetic perception of the entire design.

Research limitations/implications

Findings enrich the theory of beauty standards and put forward challenges to the positive relationship between processing fluency and aesthetic pleasure. Findings are limited to the decorative function of text, and lack discussions on how designers should balance when the informational function of text is equally important.

Originality/value

This study is the first to discuss how designs with text influence consumers' aesthetic perception and provides meaningful guidelines of transnational marketing for fashion designers and enterprises.

Details

Journal of Contemporary Marketing Science, vol. 3 no. 3
Type: Research Article
ISSN: 2516-7480

Keywords

To view the access options for this content please click here
Article

Hao Wang and Sanhong Deng

In the era of Big Data, network digital resources are growing rapidly, especially the short-text resources, such as tweets, comments, messages and so on, are showing a…

Abstract

Purpose

In the era of Big Data, network digital resources are growing rapidly, especially the short-text resources, such as tweets, comments, messages and so on, are showing a vigorous vitality. This study aims to compare the categories discriminative capacity (CDC) of Chinese language fragments with different granularities and to explore and verify feasibility, rationality and effectiveness of the low-granularity feature, such as Chinese characters in Chinese short-text classification (CSTC).

Design/methodology/approach

This study takes discipline classification of journal articles from CSSCI as a simulation environment. On the basis of sorting out the distribution rules of classification features with various granularities, including keywords, terms and characters, the classification effects accessed by the SVM algorithm are comprehensively compared and evaluated from three angles of using the same experiment samples, testing before and after feature optimization, and introducing external data.

Findings

The granularity of a classification feature has an important impact on CSTC. In general, the larger the granularity is, the better the classification result is, and vice versa. However, a low-granularity feature is also feasible, and its CDC could be improved by reasonable weight setting, even exceeding a high-granularity feature if synthetically considering classification precision, computational complexity and text coverage.

Originality/value

This is the first study to propose that Chinese characters are more suitable as descriptive features in CSTC than terms and keywords and to demonstrate that CDC of Chinese character features could be strengthened by mixing frequency and position as weight.

To view the access options for this content please click here
Article

Ilan Alon, Romie F. Littrell and Allan K.K. Chan

This article reviews and discusses issues in the translation of international brand names to Chinese, and provides a framework for international brand managers who want to…

Abstract

This article reviews and discusses issues in the translation of international brand names to Chinese, and provides a framework for international brand managers who want to expand into China. Linguistic differences between Chinese and English are wide and deep, making translation of brand names difficult. Cultural context, pronunciation, written vs. oral language, and the meaning of characters are just a few examples of such difficulties. We discuss four global product‐naming strategic alternatives available to country/brand managers, along with their usage. The four approaches include (1) dual extension, (2) brand meaning extension, (3) brand feeling extension, and (4) dual adaptation. We also provide examples of brands utilizing the different approaches.

Details

Multinational Business Review, vol. 17 no. 4
Type: Research Article
ISSN: 1525-383X

Keywords

To view the access options for this content please click here
Article

Alan Seatwo

This paper records the development of a final year project by Alan Seatwo, undergraduate studying BSc (Hon) Libraries and Information Management at Liverpool John Moores…

Abstract

This paper records the development of a final year project by Alan Seatwo, undergraduate studying BSc (Hon) Libraries and Information Management at Liverpool John Moores University. The project involved the development of an OPAC for cataloguing Chinese language material which can be used by both Chinese and non‐Chinese speaking staff. The project highlighted some important issues regarding information management in community languages. It also pointed out the lack of provision of software to support librarian, in addressing community language needs. At the same time librarians should also be aware of the latest information technologies and be able to apply them to the needs of the community.

Details

New Library World, vol. 100 no. 6
Type: Research Article
ISSN: 0307-4803

Keywords

To view the access options for this content please click here
Article

Jiang Xiang‐Dong and Liu Xiao‐Quing

This article gives a brief introduction to computer applications in information retrieval, library management and Chinese character processing in some information…

Abstract

This article gives a brief introduction to computer applications in information retrieval, library management and Chinese character processing in some information organisations in China. It outlines the history, present status and future trends of these aspects.

Details

The Electronic Library, vol. 1 no. 4
Type: Research Article
ISSN: 0264-0473

To view the access options for this content please click here
Article

Chih-Ming Chen, Chung Chang and Yung-Ting Chen

Digital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study…

Abstract

Purpose

Digital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study develops a character social network relationship map tool (CSNRMT) that can semi-automatically assist digital humanists through human-computer interaction to more efficiently and accurately explore the character social network relationships from Chinese ancient texts for useful research findings.

Design/methodology/approach

With a counterbalanced design, semi-structured in-depth interview, and lag sequential analysis, a total of 21 research subjects participated in an experiment to examine the system effectiveness and technology acceptance of adopting the ancient book digital humanities research platform with and without the CSNRMT to interpret the characters and character social network relationships.

Findings

The experimental results reveal that the experimental group with the CSNRMT support appears higher system effectiveness on the interpretation of characters and character social network relationships than the control group without the CSNRMT, but does not achieve a statistically significant difference. Encouragingly, the experimental group with the CSNRMT support presents remarkably higher technology acceptance than the control group without the CSNRMT. Furthermore, use behaviors analyzed by lag sequential analysis reveal that the CSNRMT could assist digital humanists in the interpretation of character social network relationships. The results of the interview present positive opinions on the integration of system interface, smoothness of operation, and external search function.

Research limitations/implications

Currently, the system effectiveness of exploring the character social network relationships from texts for useful research findings by using the CSNRMT developed in this study will be significantly affected by the accuracy of recognizing character names and character social network relationships from Chinese ancient texts. The developed CSNRMT will be more practical when the offered information about character names and character social network relationships is more accurate and broad.

Practical implications

This study develops an ancient book digital humanities research platform with an emerging CSNRMT that provides an easy-to-use real-time interaction interface to semi-automatically support digital humanists to perform digital humanities research with the need of exploring character social network relationships.

Originality/value

At present, a real-time social network analysis tool to provide a friendly interaction interface and effectively assist digital humanists in the digital humanities research with character social networks analysis is still lacked. This study thus presents the CSNRMT that can semi-automatically identify character names from Chinese ancient texts and provide an easy-to-use real-time interaction interface for supporting digital humanities research so that digital humanists could more efficiently and accurately establish character social network relationships from the analyzed texts to explore complicated character social networks relationship and find out useful research findings.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

1 – 10 of over 7000