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Publication date: 4 May 2018

Nurlaila, Syahron Lubis, Tengku Sylvana Sinar and Muhizar Muchtar

Purpose – This paper is aimed at describing semantics equivalence of cultural terms in meurukon texts translated from Acehnese into Indonesian. A qualitative descriptive…

Abstract

Purpose – This paper is aimed at describing semantics equivalence of cultural terms in meurukon texts translated from Acehnese into Indonesian. A qualitative descriptive approach is used to analyze the context of semantics equivalence in these texts: varied semantics structure, especially the ones caused by the cultural gap between the two languages.

Design/Methodology/Approach – This research is designed to be of qualitative descriptive nature, wherein data are documented and analyzed using various methods proposed by Miles, Huberman, and Saldana (2014), such as data condensation, data display, drawing and verifying conclusions. The researcher is considered the key instrument in the whole process. The source of the data collected is from meurukon texts and its translation that consists of 623 sentences: they mainly comprise words and phrases that contain semantics equivalence of cultural terms.

Findings – The result of the research shows that there are 129 cultural terms found in 623 sentences. Of the analyzed data, it is seen that only 16.66% of the data is not equivalent with the target text, while 83.34% words and phrases of meurukon text are equivalent. This suggests that as a result of translation, the meurukon text has high semantics or lexical equivalences with the target text.

Research Limitations/Implications – This research is focused on semantics equivalence found in meurukon texts. The semantic equivalence here only pertains to lexical meaning of nouns and adjectives by using componential analysis.

Practical Implications – The result can be used in a sample of ways for the analysis of semantics equivalence of cultural terms in meurukon text translated from Acehnese into Indonesian using componential analysis.

Originality/Value – This research identifies meurukon as an oral tradition of Acehnese culture, which is in the question and answer format about Islamic law in Aceh, specifically North Aceh.

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Proceedings of MICoMS 2017
Type: Book
ISBN:

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Article
Publication date: 24 September 2021

Nina Rizun, Aleksandra Revina and Vera G. Meister

This study aims to draw the attention of business process management (BPM) research and practice to the textual data generated in the processes and the potential of…

Abstract

Purpose

This study aims to draw the attention of business process management (BPM) research and practice to the textual data generated in the processes and the potential of meaningful insights extraction. The authors apply standard natural language processing (NLP) approaches to gain valuable knowledge in the form of business process (BP) complexity concept suggested in the study. It is built on the objective, subjective and meta-knowledge extracted from the BP textual data and encompassing semantics, syntax and stylistics. As a result, the authors aim to create awareness about cognitive, attention and reading efforts forming the textual data-based BP complexity. The concept serves as a basis for the development of various decision-support solutions for BP workers.

Design/methodology/approach

The starting point is an investigation of the complexity concept in the BPM literature to develop an understanding of the related complexity research and to put the textual data-based BP complexity in its context. Afterward, utilizing the linguistic foundations and the theory of situation awareness (SA), the concept is empirically developed and evaluated in a real-world application case using qualitative interview-based and quantitative data-based methods.

Findings

In the practical, real-world application, the authors confirmed that BP textual data could be used to predict BP complexity from the semantic, syntactic and stylistic viewpoints. The authors were able to prove the value of this knowledge about the BP complexity formed based on the (1) professional contextual experience of the BP worker enriched by the awareness of cognitive efforts required for BP execution (objective knowledge), (2) business emotions enriched by attention efforts (subjective knowledge) and (3) quality of the text, i.e. professionalism, expertise and stress level of the text author, enriched by reading efforts (meta-knowledge). In particular, the BP complexity concept has been applied to an industrial example of Information Technology Infrastructure Library (ITIL) change management (CHM) Information Technology (IT) ticket processing. The authors used IT ticket texts from two samples of 28,157 and 4,625 tickets as the basis for the analysis. The authors evaluated the concept with the help of manually labeled tickets and a rule-based approach using historical ticket execution data. Having a recommendation character, the results showed to be useful in creating awareness regarding cognitive, attention and reading efforts for ITIL CHM BP workers coordinating the IT ticket processing.

Originality/value

While aiming to draw attention to those valuable insights inherent in BP textual data, the authors propose an unconventional approach to BP complexity definition through the lens of textual data. Hereby, the authors address the challenges specified by BPM researchers, i.e. focus on semantics in the development of vocabularies and organization- and sector-specific adaptation of standard NLP techniques.

Details

Business Process Management Journal, vol. 27 no. 7
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 28 September 2021

Zahra Alvandi Poor, Mahdieh Mirzabeigi and Majid Nabavi

The purpose of this study aims to identify the impact of verbal-visual cognitive styles on the level of satisfaction and behavior in the textual and content search of…

Abstract

Purpose

The purpose of this study aims to identify the impact of verbal-visual cognitive styles on the level of satisfaction and behavior in the textual and content search of Google Images.

Design/methodology/approach

“Riding” cognitive style test and satisfaction questionnaire were used as data collection tools. Also, to collect data related to the image search behavior, the subjects’ transaction files were recorded using Camtasia software and then the files observed and reviewed. The research sample was 90 postgraduate students of Shiraz University.

Findings

The results showed that cognitive styles in interaction with the text-based and content-based search system of “Google Images” affected user’s satisfaction. Text-based image retrieval, in which vocabulary-based information needs were expressed, was more compatible with the verbal cognitive style and resulted in greater satisfaction. In contrast, in content-based image retrieval, where it was possible to express information needs in the form of images, users were more satisfied with the visual cognitive style. Verbal users performed more positively in text-based search and visual users in content-based search.

Originality/value

Considering the research gap, which has identified the performance of visual text-based and content-based systems in terms of satisfaction and cognitive style search behavior, the present study could be considered a small effort to promote science.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 1 April 1993

Niël van der Merwe

This paper will discuss the integration of document image processing and text retrieval principles in order to process and load existing paper documents automatically in…

Abstract

This paper will discuss the integration of document image processing and text retrieval principles in order to process and load existing paper documents automatically in an electronic document database that broadens the user's capability to retrieve relevant information more accurately, without going through costly processes to get paper documents into electronic text. The principles of document image processing systems, as well as the problems and shortcomings of most of today's document image processing systems, will be discussed. Then concept retrieval as the latest development in text retrieval will be discussed, with specific reference to the ability of the TOPIC intelligent text retrieval system to allow users to build up a knowledge base of search objects or concepts that can be used at any point in time by all users for the system. This paper will further specifically look at the automatic processing of paper documents by converting the scanned document image pages through to electronic text. The use of optical character recognition technology, the indexing and loading of the documents in a text database, the automatic linking of the documents to the related document images and the retrieval technology available in TOPIC, specifically the TYPO operator that was developed to handle so‐called dirty data such as the common misspellings, character transpositions and ‘dirty’ text received as output from the OCR process, will be discussed. A possible solution to load paper documents quickly and cost‐effectively into an electronic document database will be discussed and demonstrated in detail. The advantages and disadvantages of this approach will be discussed with specific reference to an electronic news clipping service application.

Details

The Electronic Library, vol. 11 no. 4/5
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 1 June 1991

Moid A. Siddiqui

This article describes the fastest growing category of machine‐readable data‐bases — full‐text databases. A selection of articles from the literature on full‐text

Abstract

This article describes the fastest growing category of machine‐readable data‐bases — full‐text databases. A selection of articles from the literature on full‐text databases was explored and this provides a basis for the information presented here on search strategy, performance measurement, and benefits and limitations of full‐text databases. Various use studies and uses of full‐text databases have also been listed.

Details

Online Review, vol. 15 no. 6
Type: Research Article
ISSN: 0309-314X

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Article
Publication date: 1 December 2004

Xiaotian Chen

This article discusses full‐text source lists used by full‐text finding tools, such as serials management systems, OpenURL link resolvers, and imported e‐journal MARC…

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Abstract

This article discusses full‐text source lists used by full‐text finding tools, such as serials management systems, OpenURL link resolvers, and imported e‐journal MARC records. Although the vendors of full‐text finding tools claim that they frequently update their full‐text source lists with changes in full‐text titles, ISSNs, coverage dates, and other information, they actually rely on content providers to offer title lists and coverage information. Not all content providers offer accurate and updated full‐text source lists in terms of full‐text titles included, coverage dates and embargo periods, and formats and file types. As a result, librarians and users using serials management systems, OpenURL link resolvers, or OPACs for finding full‐text periodicals are sometimes taken to dead ends. Vendors of both full‐text finding tools and full‐text content need to improve the accuracy and currency of their services.

Details

Online Information Review, vol. 28 no. 6
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 12 October 2012

Chengli Zhao and Dongyun Yi

The purpose of this paper is to research integrating web text resources and mine its emergence.

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264

Abstract

Purpose

The purpose of this paper is to research integrating web text resources and mine its emergence.

Design/methodology/approach

With the understanding of characteristics of internet resources, this paper will focus on solving the problem of text resource aggregation in open environment and its emergence showed during aggregation over time. The authors process these text resources, both in space and time dimension, through viewing them as an event stream evolving over time, and attempt to discover the evolutionary event patterns and furthermore, to mine the emergence of text content.

Findings

The proposed methods are generally applicable to text stream data and have many potential applications in text resource aggregation in open environment.

Research limitations/implications

The main limitation is availability of data.

Practical implications

The paper presents a very useful method for text resource aggregation in an open environment.

Originality/value

The paper presents a new method to integrate web text resources and mine its emergence.

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Article
Publication date: 5 July 2011

Paul Frantz and Caleb Tucker‐Raymond

A recent thread in the DIG_REF listserv addressed the integration of text messaging into mainstream reference service. The purpose of this paper is to expand upon that…

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811

Abstract

Purpose

A recent thread in the DIG_REF listserv addressed the integration of text messaging into mainstream reference service. The purpose of this paper is to expand upon that discussion, pointing out the predominant software used by libraries to handle text message reference questions and the volume of reference traffic generated by text messaging queries.

Design/methodology/approach

The paper also addresses the ramifications on staffing of the added traffic in text messaging and how libraries might market text messaging reference services to their patrons.

Findings

The paper further discusses the unique nature of text messaging queries and how this affects the reference interview.

Originality/value

The paper is intended for the reference services manager looking to incorporate text messaging into a library's repertoire of reference services.

Details

Library Hi Tech News, vol. 28 no. 5
Type: Research Article
ISSN: 0741-9058

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Article
Publication date: 1 December 1998

Janet A. Hughes and Catherine A. Lee

Providing convenient access to journals for users in a geographically dispersed university was a challenge for the Pennsylvania State University Libraries’ Full‐Text

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234

Abstract

Providing convenient access to journals for users in a geographically dispersed university was a challenge for the Pennsylvania State University Libraries’ Full‐Text Implementation Group. The group established and implemented procedures for providing full‐text access to general interest periodicals to all Penn State users, both in the libraries and remotely. This paper discusses the formation of the group, addresses the decisions made about providing full‐text, the procedures established to implement and promote full‐text, the problems encountered during implementation, and the future of full‐text access at Penn State.

Details

Collection Building, vol. 17 no. 4
Type: Research Article
ISSN: 0160-4953

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Article
Publication date: 16 August 2021

Nael Alqtati, Jonathan A.J. Wilson and Varuna De Silva

This paper aims to equip professionals and researchers in the fields of advertising, branding, public relations, marketing communications, social media analytics and…

Abstract

Purpose

This paper aims to equip professionals and researchers in the fields of advertising, branding, public relations, marketing communications, social media analytics and marketing with a simple, effective and dynamic means of evaluating consumer behavioural sentiments and engagement through Arabic language and script, in vivo.

Design/methodology/approach

Using quantitative and qualitative situational linguistic analyses of Classical Arabic, found in Quranic and religious texts scripts; Modern Standard Arabic, which is commonly used in formal Arabic channels; and dialectical Arabic, which varies hugely from one Arabic country to another: this study analyses rich marketing and consumer messages (tweets) – as a basis for developing an Arabic language social media methodological tool.

Findings

Despite the popularity of Arabic language communication on social media platforms across geographies, currently, comprehensive language processing toolkits for analysing Arabic social media conversations have limitations and require further development. Furthermore, due to its unique morphology, developing text understanding capabilities specific to the Arabic language poses challenges.

Practical implications

This study demonstrates the application and effectiveness of the proposed methodology on a random sample of Twitter data from Arabic-speaking regions. Furthermore, as Arabic is the language of Islam, the study is of particular importance to Islamic and Muslim geographies, markets and marketing.

Social implications

The findings suggest that the proposed methodology has a wider potential beyond the data set and health-care sector analysed, and therefore, can be applied to further markets, social media platforms and consumer segments.

Originality/value

To remedy these gaps, this study presents a new methodology and analytical approach to investigating Arabic language social media conversations, which brings together a multidisciplinary knowledge of technology, data science and marketing communications.

Details

Journal of Islamic Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0833

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