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Whereas the geography of a certain area is certainly linked in many ways to the ethnic group occupying it (or who used to occupy it), the link between the land and the language/s spoken (or that used to be spoken) can only become visible through the linguistic landscape, which not only asserts identity and ownership but can also help to reinforce prestige and vitality of the languages employed. The problem is that if the local heritage language is a minority or regional one, only in few cases can it be used to affirm the identity and ownership of its speakers. There are two sine qua non conditions for the local language to appear in the linguistic landscape: 1) The language must have gone beyond the 'threshold of literacy', i.e. it must have developed as a written language, with its own orthography and literature; 2) The language must be allowed to be used in the linguistic landscape and/or enjoy a degree of official recognition. This article presents five case studies on the presence of local minority/regional languages in the linguistic landscape based on the author’s research: two in Italy (Udine and Milan) and two in Southeast Asia (Kuala Lumpur and Bandar Seri Begawan, the capitals of Malaysia and Brunei Darussalam respectively). The very interesting situation in Macao will also be touched on, where the colonial language, Portuguese, has been given prominence in the linguistic landscape in spite of the fact that only a tiny percentage of the population can speak it. In this case, Portuguese is portrayed as a kind of heritage language (as well as an international language) that does not need to be mastered as its main function is symbolic, i.e. to help Macao retain its special status as a Special Administration Region of China.

This study explored how board diversity affects environmental, social, and governance (ESG) performance in the Italian banking sector. Specifically, this study examined whether the presence of specific corporate governance (CG) characteristics (board diversity) in Italian Cooperative Credit banks is related to ESG dimensions.

The authors examined a sample of 247 Italian Cooperative Credit banks for the period 2017–2021 and developed an econometric model by applying unbalanced panel data with firm fixed effects and controls per year. To verify the research hypotheses, the authors analyzed board diversity in terms of board attributes variables (size, gender diversity, age, activity, independence and corporate social responsibility/sustainability committee (CSR) and measured ESG dimensions using the ESG score provided by Refinitiv.

The findings suggest that board size, independence and the existence of a CSR/sustainability committee positively affect banks' ESG performance, while no significant relationship between board average age and ESG performance was found. The study also explored how the critical mass of women on a board affects ESG performance by testing the positive impact of gender diversity on ESG dimensions only up to a certain threshold of female directors.

This study is highly relevant to managers and investors who consider ESG issues in their decision-making processes. The findings support regulators by offering insights into ways to improve ESG performance through the specific design and application of governance mechanisms.

From a practical perspective, this investigation has implications for both practitioners and regulators, suggesting that chief executive officers (CEOs) and managers should pay more attention to CG aspects to improve ESG performance and that policy-makers should give greater consideration to these aspects of CG in their efforts to enhance ESG performance.

This study offers an in-depth analysis of banks' ESG practices and attempts to bridge the gap in the literature on ESG in the Italian banking industry. This study is the first to investigate the relationship between CG variables and ESG dimensions in this context.

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.

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.

For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.

The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.

This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.

This article explores the concept of ‘linguistic landscape’ (Landry & Bourhis, 1997) and applies it to the Tutong Town Centre, which was depicted briefly in the film Gema Dari Menara (1968). Due to the cursory and grainy depiction on screen, a study of the present linguistic landscape of the town featured in the film is far more practical than a detailed comparison of the linguistic landscape of Tutong town then and now. In essence the film has provided a geographical scope for linguistic/ semiotic analysis presented in this paper. The study of signs ‘in a given geographical location’ (Ben Rafael et al, 2006: 14), using the distributive count approach, lends itself to a greater understanding of the ethnolinguistic vitality and sociolinguistic interactions of the language groups living in what can be described as a multilingual and multiracial small town. Such evidence of language use in the public sphere results from an interplay of various factors within the town’s societal context, that could be related to Scollon & Scollons’ (2003:2) idea of ‘the social meaning of material placement of sign and discourses'. This study challenges the notion of ethnic languages’ 'disappearance' from public sphere, and instead raises questions about their ‘initiation’ into public use. The study also concludes that the supposed multilinguality of the Tutong Town population is not represented in the linguistic landscape.

The purpose of this study is to explore the perceptions of teachers’ and undergraduate students concerning the provision of written corrective feedback (WCF) in Saudi EFL writing classrooms in the form of a case study.

The sample consisted of three teachers and five students, whose views on WCF were recorded via individual semi-structured interviews to gather qualitative data.

The results revealed some divergent viewpoints between students and teachers and among peers in both groups.

By offering the best WCF practice and considering students' interests, this research is important for improving the pedagogical approaches used by EFL instructors for teaching writing to university learners. It will, therefore, have more of an impact on EFL writing instruction.

Drawing on the dual process theory and the cultural dimension of power distance, the current research investigates the impact of a specific service clue—the linguistic style of address forms (salutation) in hotel manager letters to guests—on customer satisfaction in a hotel context in Ecuador.

Following an experimental design research approach, this research conducted a series of two studies to examine how customers' cultural values (high vs low power distance), linguistic style of address forms (formal vs casual) and service valence (service success vs service failure) together influenced customer satisfaction. Specifically, Study 1 examined the service success condition, and Study 2 investigated the service failure condition.

The research results show that, in the service success condition, customers follow their distinct cultural orientations (high vs low power distance) when responding to the different linguistic styles (formal vs casual). On the other hand, in the service failure situation, as customers desire for expressions of respect that can be reflected in a formal address form, the level of satisfaction is lower when the casual address form is used in guest communications, regardless of customers' cultural orientations in power distance.

This research adds to existing cross-cultural service research, particularly in terms of service valence, and provides practical implications for enhancing service providers' cultural awareness and sociolinguistic competence to effectively communicate with customers from diverse cultural backgrounds.

The purpose of this study is mainly to find out the EFL learners' attitude towards corrective feedback. This paper also investigates types of learners who prefer the online or offline corrective feedback, and how feedback should be tailored to the needs of the learners.

The study was conducted on sixty female participants who were students of levels 7 and 8 of the B. A. program (English) at King Khalid University, Saudi Arabia. They were administered a questionnaire comprising eight questions about corrective feedback from teachers individually and independently so that they could identify their own choices without any influence from other participants. The items in the questionnaire were closed items.

It was found that both types of feedbacks are essential to enhance learners' linguistic accuracy. Learners have shown their positive attitude towards teachers' corrective feedback because they consider it a motivating learning tool. Not only that the learners have expressed the view that corrective feedback is very useful in enhancing the learning process for EFL learners. On the other hand, some of the learners are not serious about going through corrective feedback given by teachers because sometimes they are unable to differentiate between what helps or hampers progress towards language learning. However, they preferred both online (immediate/automated) feedback and offline (delayed) feedback. In general, the results state that the learners have expressed the view that corrective feedback is very useful in enhancing the learning process for EFL learners.

This study has some limitations. The first one is the sample size. Only students from levels 7 and 8 (undergraduates) were taken into consideration. The second limitation is that the researchers focused on only one university in Saudi Arabia. The third limitation is that no male students participated in this study. The results might be different if the male students participated as well.

One vital point in employing CF in the language classrooms is timing. Considering the timing of corrective feedback, teachers face the problem of whether CF should be immediate (online) or delayed (offline).

How closely does the translation match the meaning of the reference has always been a key aspect of any machine translation (MT) service. Therefore, the primary goal of this research is to assess and compare translation adequacy in machine vs human translation (HT) from Arabic to English. The study looks into whether the MT product is adequate and more reliable than the HT. It also seeks to determine whether MT poses a real threat to professional Arabic–English translators.

Six different texts were chosen and translated from Arabic to English by two nonexpert undergraduate translation students as well as MT services, including Google Translate and Babylon Translation. The first system is free, whereas the second system is a fee-based service. Additionally, two expert translators developed a reference translation (RT) against which human and machine translations were compared and analyzed. Furthermore, the Sketch Engine software was utilized to examine the translations to determine if there is a significant difference between human and machine translations against the RT.

The findings indicated that when compared to the RT, there was no statistically significant difference between human and machine translations and that MTs were adequate translations. The human–machine relationship is mutually beneficial. However, MT will never be able to completely automated; rather, it will benefit rather than endanger humans. A translator who knows how to use MT will have an opportunity over those who are unfamiliar with the most up-to-date translation technology. As MTs improve, human translators may no longer be accurate translators, but rather editors and editing materials previously translated by machines.

The findings of this study provide valuable and practical implications for research in the field of MTs and for anyone interested in conducting MT research.

In general, this study is significant as it is a serious attempt at getting a better understanding of the efficiency of MT vs HT in translating the Arabic–English texts, and it will be beneficial for translators, students, educators as well as scholars in the field of translation.