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The purpose of this paper is to generate awareness of and interest in the techniques used in computer-based corpus linguistics, focusing on their methodological implications for research in library and information science (LIS).

This methodology paper provides an overview of computer-based corpus linguistics, describes the main techniques used in this field, assesses its strengths and weaknesses, and presents examples to illustrate the value of corpus linguistics to LIS research.

Overall, corpus-based techniques are simple, yet powerful, and they support both quantitative and qualitative analyses. While corpus methods alone may not be sufficient for research in LIS, they can be used to complement and to help triangulate the findings of other methods. Corpus linguistics techniques also have the potential to be exploited more fully in LIS research that involves a higher degree of automation (e.g. recommender systems, knowledge discovery systems, and text mining).

Numerous LIS researchers have drawn attention to the lack of diversity in research methods used in this field, and suggested that approaches permitting mixed methods research are needed. If LIS researchers learn about the potential of computer-based corpus methods, they can diversify their approaches.

Over the past quarter century, corpus linguistics has established itself as one of the main methods used in the field of linguistics, but its potential has not yet been realized by researchers in LIS. Corpus linguistics tools are readily available and relatively straightforward to apply. By raising awareness about corpus linguistics, the author hopes to make these techniques available as additional tools in the LIS researcher’s methodological toolbox, thus broadening the range of methods applied in this field.

In spite of the growing interest in using corpora in language teaching and learning, applying computers and software (especially corpora software) is still new in second language teaching and learning. In addition, employing a learner corpus-based perspective in teaching metadiscourse features in International English Language Testing System (IELTS) writing tasks is not reported to the best knowledge of the researchers. Understanding and spotting this gap, the purpose of this paper is to utilize a learner corpus-based approach in teaching metadiscourse features and investigate its possible impacts on IELTS writing performance of the Iranian second language learners. Therefore, this study addressed the following research questions and hypotheses.

The current research utilized a quasi-experimental research design. In addition, this research used a learner corpus-based methodology. The corpus-based methodology was exploited to enable the researchers to have access to a large body of authentic language materials. In other words, a corpus-based methodology was used due to the fact that it made it possible for the researchers to elicit the metadiscourse features from a large number of authentic writing materials and to employ them during the treatment process with authentic examples.

The findings showed that there was a positive correlation between teaching metadiscourse features and writing performance of IELTS learners; in that, teaching metadiscourse features could soar the writing performance of the subjects. In addition, interactional metadiscourse features had more impact than interactive metadiscourse features on writing performance.

The results of this research can have useful implications for second language teachers and learners as well as researchers in learner corpus as they can learn the creation and application of learner corpora in second language teaching and learning.

This paper is value in that it uses corpus software and methodology in teaching metadiscourse features in writing section of IELTS test.

A negative framing of immigrants to stir populist sentiment is a widespread tactic repeatedly deployed by the British press. Following the accession of ten new and predominantly Eastern European member‐states to the European Union in 2004, this gambit was again utilised to provocatively portray migrant workers newly arriving in the United Kingdom as an external economic threat. The aim of this paper was to uncover the recurrent ways in which Polish migrants were emotively framed by the top daily British newspapers during this period of EU enlargement.

A bespoke collection of newspaper articles was assembled and examined using a corpus‐based discourse analysis. The analysis was subsequently triangulated with relevant responses to a series of public opinion surveys.

Results show that the British press conformed to classic media representations of migrants when referring to Poles in particular, by depicting them as an external economic threat “flooding” the country; in addition a novel stereotype of the “Polish plumber” was used to present them arriving to take the jobs of native manual labourers.

The study adds to the understanding of media attitudes towards new migrants in the UK, and demonstrates the utility of triangulated corpus‐based discourse analysis for those who seek to highlight systematic characterisations of migrants in the popular press.

This corpus-based study provides a descriptive account of the distribution of the polysemous noun nafs in two Arabic varieties, Modern Standard Arabic (MSA) and Classical Arabic (CA). The research objective is to survey the use of nafs as a reflexive marker in local binding domains and as a self-intensifier in NP-adjoined positions.

The consulted corpora are Timespamped JSI Web corpus for MSA and Quran corpus for CA. While attending to corpora size differences, MSA and CA exhibit a pattern of difference and similarity in nafs diffusion.

In the modern variety, nafs is pervasively used as reflexive marker in canonical binding domains, along with a less frequent, yet notable, intensifier user, and these uses are partially and cautiously attributed to the specific genre in which they occur. In CA, nafs is mainly recurrent as a polysemous noun, along with extensive use as a reflexive marker in local binding settings. As an intensifier, nafs is totally non-existent in the CA corpus, in the same way as it is in absentia in VP-constituent extraction in MSA.

Examining whether nafs, as a reflexive marker, deviates from canonical binding in Arabic the way English reflexive pronouns do. Building a general account of this distribution is relevant in understanding the explicit (syntactic) and implicit (discourse-based) dimensions of reflexive marker and self-intensifier processing and interpretation in Arabic as a first and second language.

The purpose of this paper is to investigate Chinese and American financial companies’ distinct brand personality indicators shown through culturally based linguistic features online. The potential correlation between culturally oriented brand personalities and companies’ financial performance is also examined.

This study employs computerized content analyses to examine the cross-cultural differences among 28 American and Chinese financial companies’ online communication based on Aaker’s brand personality framework.

The findings reveal that despite some similarities, there are significant differences between the frequencies and patterns of brand personality indicators on American and Chinese websites, which demonstrate the connection between the companies’ linguistic preferences with their different cultural backgrounds. It also proves that there could be significant relationship between financial companies’ corporate brand (CB) personality expressions and their financial performance, and US financial companies’ revenues are more closely correlated with brand personality dimensions than Chinese companies’.

The necessity for cross-cultural adaptation of CB personality is verified in this study. Chinese international companies may have a big room to improve their online corporate communication. Similarly, foreign companies who intend to enter into Chinese market may think about laying emphasis on their personality indicators of competence in their online corporate communication.

This research is among the first to utilize a corpus-based analytical tool to conduct content analyses of financial companies’ online brand personalities, in addition to empirically validate the correlations between companies’ brand personality indicators and financial performance. The study enriches the literature on online marketing communication, draws attention to the connection between cultural differences and linguistic preferences in CB personality construction and emphasizes the importance of making appropriate cross-cultural adaptation in online corporate communication.

The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the meanings of these words and the collocates they have. Keywords are salient words in a corpus whose frequency is unusually high (positive keywords) or low (negative keywords) in comparison with a reference corpus. Collocation is the co-occurrence of words.

To achieve this purpose, the investigation of keywords and collocations is generated by AntConc, a corpus processing software.

This analysis leads to shed light on the similarities and/or differences amongst the past four American presidents concerning their key topics. Keyword analysis through keyness makes it evident that Clinton and Obama, being Democrats, demonstrate a clear tendency to improve Americans’ life inside their social sphere. Obama surpasses Clinton as regard foreign affairs. Clinton and Obama’s infrequent subjects have to do with terrorism and immigration. This complies with their condensed focus on social and economic improvements. Bush, a republican, concentrates only on external issues. This is proven by his keywords signifying war against terrorism. Bush’s negative use of words marking cooperative actions conforms to his positive use of words indicating external war. Trump’s positive keywords are about exaggerated descriptions without a defined target. He also shows an unusual frequency in referring to his name and position. His words used with negative keyness refer to reforming programs and external issues. Collocations around each top content keyword clarify the word and harmonize with the presidential orientation negotiated by the keywords.

Limitations have to do with the issue of the accurate representation of the samples.

This research is original in its methodology of applying corpus linguistics tools in the analysis of presidential discourses.

The purpose of this study is to gain increased knowledge about gender diversity and innovation in mining by analyzing how women are discursively represented in relation to these two concepts, and in doing so establish how diversity management is received and communicated in the industry.

The study is based on analysis of texts including references to gender diversity and innovation in mining found on the web. The tool used to retrieve the data has been WebCorpLive, a tool designed for linguistic analysis of web material.

Although increased female representation is communicated as a key component in the diversity management discourse, based on the idea that diversity increases innovation and creativity, closer analysis of texts on diversity and innovation in mining shows that what women are expected to contribute with has little explicit connection with innovation.

The study contributes with increased knowledge about diversity management by providing an example of how it is received in a traditionally male-dominated industry.

The findings indicate that for diversity management to have a real effect in mining, it needs to be based on gender equality and social justice motives, rather than on a business case rationale – the principal motive today. To enable this change, stereotypical gender patterns, as shown in this study, need to be made visible and problematized among policy makers, practitioners and actors on all levels of the industry.

The study contributes with new knowledge about gender in the mining industry previously not attended to by using a method which so far has been sparsely used in discourse analysis, although pointed out as promising.

After over 30 years’ reform and opening-up, China as the second largest economy is now facing the most essential transformation of management philosophy and the biggest challenging issue of business sustainable development, with people’s increasing worry of the deterioration of environmental pollution, food security and human health. It can be said that what China needs urgently today is business ethical value and long-term sustainable development concept, rather than rapidly growing GDP. The purpose of this paper is to assess how the term “sustainable development” is constructed and valued in the sustainability reports or corporate social responsibility (CSR) reports of Chinese corporations, so as to interpret these Chinese firms’ conception of sustainable development in their real business practices.

A corpus of sustainability reports collected from 30 Chinese corporations totaling 247,311 tokens is first of all compiled to realize the objective of study. Then the authors use the AntConc, a corpus analysis toolkit, to generate word lists, key-word-in-context concordances and collocation lists, as well as calculating statistical significance measures for collocates, of which the mutual information (MI) score 3 is most relevant to the paper’s purposes. Based on the key-word-in-context concordance and collocation list, the authors can find what context “sustainable development” usually appears in sustainability reports, thus inferring Chinese corporations’ conception of sustainable development.

The result indicates that Chinese corporations use the rhetoric of weak sustainability, indicating that sustainable development is compatible with further economic growth, which means that Chinese corporations in current China, strongly promoting the concept of new normal economy, still put economic growth as a dominant goal, on which other dimensions of sustainability like environmental protection depend.

The data gleaned in current corpus are limited to the sustainability reports in 2014 thus the study provides no hints as to diachronic trends. However, this study increases our understanding of how Chinese corporations attach value to sustainable development from the view of corpus analysis.

Different from traditional discourse analysis, which usually carries out qualitative analysis to analyze how a word or phrase is constructed in a small number of texts, the authors’ study innovatively introduces the method of corpus analysis to explore how Chinese corporations construct “sustainable development” in their sustainability reports. Thus, the number of texts analyzed is larger in the authors’ study and their findings are more representative and convincing. The authors create a more qualitative understanding of what the reports are actually saying on their reports and prove that corpus methods can bring new application to the discourse analysis of the biggest challenging issue of China’s future economic growth, suggesting a potential novel way to work out the meaning and implication of sustainable development in Chinese real business world.

Sentiment lexicon is an essential resource for sentiment analysis of user reviews. By far, there is still a lack of domain sentiment lexicon with large scale and high accuracy for Chinese book reviews. This paper aims to construct a large-scale sentiment lexicon based on the ultrashort reviews of Chinese books.

First, large-scale ultrashort reviews of Chinese books, whose length is no more than six Chinese characters, are collected and preprocessed as candidate sentiment words. Second, non-sentiment words are filtered out through certain rules, such as part of speech rules, context rules, feature word rules and user behaviour rules. Third, the relative frequency is used to select and judge the polarity of sentiment words. Finally, the performance of the sentiment lexicon is evaluated through experiments.

This paper proposes a method of sentiment lexicon construction based on ultrashort reviews and successfully builds one for Chinese books with nearly 40,000 words based on the Douban book.

Compared with the idea of constructing a sentiment lexicon based on a small number of reviews, the proposed method can give full play to the advantages of data scale to build a corpus. Moreover, different from the computer segmentation method, this method helps to avoid the problems caused by immature segmentation technology and an imperfect N-gram language model.

The purpose of this paper is to contribute with increased knowledge about gender in mining by exploring how women are discursively represented in texts produced by actors in the international mining arena.

The study combines corpus linguistic methods and discourse analysis. It implies a combination of quantitative and qualitative analyses, where the former is used as the point of departure for the latter, and where the material analysed is chosen on the basis of certain selected search phrases. The source for the study is the web, and the search engine used for the retrieval of data is WebCorp Live, a tool tailored for linguistic analysis of web material.

The analysis reveals that although the overarching theme in the women-in mining discourse is that women are needed in the industry, the underlying message is that women-in-mining are perceived as problematic.

The study shows that if mining is to change into a modern industry, the inherent hyper-masculine culture and its effects on the whole industry needs to be problematised and made evident. To increase the mere number of women, with women still heavily underrepresented, is not enough to break gender-biased discrimination.

The research contributes with new knowledge about gender in mining by using a method, which so far has had limited usage in (critical) discourse analysis.