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English as Symbolic Capital: Globalization and the Linguistic Landscape of Armenia, Quindío (Colombia)

A peer-reviewed version of this preprint was published in:
Languages 2025, 10(3), 34. https://doi.org/10.3390/languages10030034

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11 November 2024

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12 November 2024

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Abstract
This research investigates linguistic hybridization in Armenia, Colombia, focusing on the usage of Spanish and English in public signage, particularly business names. Utilizing a quantitative methodology, we conducted a statistical analysis employing Chi-square tests to explore the rela-tionship between symbolic language choice and variables such as location and type of establish-ment. The results demonstrated a significant association between location and language choice (Χ² = 39.353, p < .001), revealing that commercial zones with high tourist traffic exhibited a pro-nounced preference for English (46.55%), reflecting branding strategies aimed at attracting a younger, cosmopolitan audience. Conversely, traditional sectors such as health services (74.24% in Spanish) and religious institutions (80% in Spanish) predominantly utilized Spanish, empha-sizing the community's need for accessible communication. Additionally, establishments in the most commercial area highlighted the presence of hybrid names, indicating a blending of lan-guages. Our findings suggest that the hybridization of English and Spanish serves as both a re-flection and reinforcement of cultural identity and social hierarchies, emphasizing the role of linguistic capital in shaping social dynamics within the urban landscape of Armenia, Colombia.
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1. Introduction

Linguistic Landscape studies focus on analyzing signs in public spaces, a subfield of linguistics that has gained increasing recognition since the late 1990s, with evolving methodologies, approaches, and areas of coverage (Gorter and Cenoz 2023; Kallen 2023). In recent decades, globalization has significantly transformed linguistic landscapes around the world, since “Cities around the globe are dealing with complex challenges like rapid expansion, increasing crowdedness, intersecting forms of diversity, and staggering inequality between the rich and the poor” (Verloo and Bertolini 2020, 13); this is leading to increased linguistic hybridization, especially in urban environments. This phenomenon is particularly evident in Colombia, where diverse linguistic influences converge, reflecting the interplay of local identities and global trends. Armenia, the capital of the Quindío department, serves as a compelling case study for examining these dynamics, as its public signage and business names increasingly exhibit a blend of Spanish and English.
Globalization is a term that has gained prominence in recent years due to its versatility and its capacity to serve as a reference point for addressing various aspects of society. Essentially, it encompasses the global interconnectedness that has transformed social life through multiple economic, political, cultural, technological, and social dimensions, both collectively and individually. This phenomenon is not new; rather, it is a continuous process that has intensified over the last century and has evolved through distinct phases, each characterized by unique features (Kumaravadivelu 2008). Eriksen (2014) aligns with this viewpoint, emphasizing that globalization manifests in diverse dimensions and that its rapid expansion in the 21st century is largely attributable to the communication revolution—driven by the development of the Internet and digitalization—alongside new consumption trends and migration patterns that have accelerated since the 1990s.
The connections established through globalization and global cultural exchange have broadened our perception of the world and other cultures. However, despite the continual growth of the population in numerical terms, “the world has become a smaller place” (Ardalan 2017, 31). This statement does not refer to a reduction in physical size but rather to an increased sensitivity toward cultures and the differences or otherness they embody. With globalization, discussions often center around cultural and even linguistic homogeneity, although it is important to note that alternative perspectives advocate for heterogeneity and hybridity (Hassi and Storti 2012).
From the standpoint of homogeneity, convergence is posited, suggesting that one of the repercussions of globalization is the global standardization of culture. This cultural convergence “promotes the possibility that local cultures may be shaped by more powerful cultures or even a global culture” (Hassi and Storti 2012, 8). From this perspective, cultural influence is often viewed as unidirectional, primarily driven by American cultural imperialism, which promotes consumer capitalism and homogenizes cultural aspects such as music, lifestyles, technology, and forms of entertainment (Ardalan 2017). Linguistically, the global status of English as a dominant language has been evident (Martin 2007; Vandenbroucke 2016), potentially impacting the speech forms and language used in public spaces within local communities. This phenomenon has been summarized as a process of Westernization, chiefly propelled by the American entertainment industry (Kumaravadivelu, 2008).
The dominance of English as a global language has been particularly observed in large cosmopolitan cities, where phenomena such as gentrification and the migration of diverse communities have influenced the linguistic practices of their inhabitants, as seen in Japan (Baudinette 2018), Korea (Choi, Tatar, and Kim 2021), Russia (Aristova 2016), and Mexico (Baumgardner 2008; 2007; 2006), among others. However, how does globalization affect the linguistic practices of cities that are not directly influenced by these social phenomena?
The present study aims to explore the linguistic hybridization present in the public signage of Armenia, focusing on the names of commercial establishments. The research is grounded in the sociolinguistic framework that emphasizes the relationship between language use and sociocultural processes. Our analysis employs quantitative methods, particularly Chi-square tests and logistic regressions, to investigate the statistical association between the choice of symbolic language and various contextual factors, such as the location of the establishment and the type of business.

The Pluri-Ethnic Identity of Quindío: Historical Perspectives and Contemporary Realities

The Quindío Department was established in 1966, having previously belonged to Caldas, or Viejo Caldas [Old Caldas] ––a department that encompassed territories segmented from Antioquia, Cauca, and Tolima, founded in 1905––. Although it gained autonomy as a department, Quindío could not detach itself from the inherent imagery associated with its predecessor, which assumes that both territories are products of Antioquian colonization; therefore, the identity of its people is linked to being Antioquian in all its dimensions. However, some scholars argue that the reality is much more varied and complex. As Medina (2019, 9) notes, “Old Caldas is a multi-ethnic and multicultural human mosaic in search of its own identity, and not merely an appendix of Antioqueness.” This assertion equally applies to Quindío, as its historical formation reveals the convergence of individuals from different origins: Antioqueños, Caucanos, Santandereanos, Cundiboyacenses, Tolimenses, Nariñenses, and Vallunos.
The configuration of this pluri-ethnic mosaic has gradually been unveiled through the accumulation of various sources that, interwoven, give voice to a history of migration and colonization that had remained silent. For instance, the novel Hombres transplantados (Buitrago 1943) vividly depicts the diverse origins of Quindío's early inhabitants, highlighting not only Antioquians but also Caucanos, Santandereanos, and people from the Cundiboyacense highlands. Historical records from some municipalities in Quindío also confirm this pluri-ethnic configuration. For example, in Salento, it was initially considered a mandatory stop for immigrants traveling from Cartago to Ibagué via the National Road; these individuals were not solely Antioquians but came from all corners of Colombian territory, many of whom settled in the region (Muñoz 1993).
In Calarcá, a varied migration-colonization is evident. Examples of this can be found in the book Calarcá en anécdotas (Jaramillo 1976), which documents the rivalries between Antioquians settled in the municipality and the so-called Orientals (Tolimenses, Cundiboyacenses, and Santandereanos). Regarding the municipality of La Tebaida, it was the coffee boom and the arrival of the train that initially attracted a large contingent of Valluno migrants, followed by Caucanos, Santandereanos, and Boyacenses (Valencia 2016).
In summary, Quindío, like the former Old Caldas, is a territory where transhumance defines the coordinates of its identity, where the establishment of a symbolic capital has yet to be firmly rooted due to the mobile and transitory nature of those who, originating from various regions of Colombian territory, continuously populate and repopulate this young department.
Currently, migratory movements in Quindío are fueled by both internal and foreign human capital. The presence of foreigners in the department is so strong that the local perspective has turned towards them, as they constitute an additional element of the landscape. Consequently, cultural and economic dynamics have transformed to accommodate the needs and preferences of foreigners, a fact that impacts the fragile symbolic capital of Quindío's identity, leaving it vulnerable to globalization processes whose manifestations are evident in the daily life of some municipalities.
Thus, the influence of globalization has added a new layer of complexity to this already rich cultural diversity. A visible aspect of this global influence is the use of English in public spaces. This phenomenon is not yet a sign of gentrification but serves as palpable evidence of globalization's impact and the emblematic functions of language (Blommaert 2010, 29), in which the sign is purely semiotic, not linguistic. In other words, its function is emblematic rather than denotative, serving as a sign that does not convey information but rather possesses a “chic appeal.”
After a brief ethnographic survey of the streets of Armenia, it is not difficult to encounter linguistic borrowings and calques derived from English in various urban contexts: from commercial signs and restaurant menus to signage and cultural events. This linguistic transformation suggests a process of globalization and acculturation, reflecting changes in identity and the symbolic capital of the region.

2. Materials and Methods

To understand the changes occurring in the city of Armenia regarding the use of languages in public spaces, an urban ethnographic approach (Verloo 2020) was employed. This approach allows for the study of the city “from within.” It serves as a tool to analyze the impact of various sociopolitical changes such as segregation, gentrification, migration, and globalization on urban environments, as ethnographic data provide insights into “the process of production of culture, identity, and space or place” (Verloo 2020, 40).
Based on previous studies of linguistic landscapes (Carr 2021; Pastor 2021; Guarín 2024a; 2024b; Hassa and Krajcik 2016) which demonstrated a significant impact of location and type of establishment on language use—specifically, the linguistic code—these two variables were selected as the foundation for this study. The following research questions were formulated:
(a)
To what extent is English part of the linguistic landscape of Armenia, Quindío?
(b)
How does location affect the use of the linguistic code in the linguistic landscape of Armenia?
(c)
In what ways does the type of establishment influence the linguistic code in the city of Armenia?
Data collection was conducted in three areas of the city—see Figure 1. Zone 1 (points A and B) encompassed Carrera 14 between Calle 21 and Calle 12; a pedestrian boulevard known as Cielos Abiertos [Open Skies]. This area is recognized for being busy with various food and craft sales points and connects two main parks in the city: Plaza de Bolívar (point A) and Parque Sucre (point B). Zone 2 included Carrera 14 from Calle 12 (point B) to Avenida Las Palmas (point C), where various restaurants, clothing stores, two shopping centers, and two universities are located. Finally, Zone 3 comprised Carrera 14 from Avenida Las Palmas (point C) to Calle 10 Norte (point D). This corridor features a variety of cafés, restaurants, health clinics, important parks for the city, and churches.
A total of 498 tokens were collected (N=498): 196 in Zone 1, 88 in Zone 2, and 214 in Zone 3. For the data distribution, the study followed the Variationist Linguistic Landscape Study (VaLLS) methodology (Amos and Soukup 2020), where independent variables are used to measure their impact on another variable, similar to a variationist sociolinguistic study. Previous studies of linguistic landscapes informed the selection of variables. Thus, symbolic language and informative language were treated as dependent variables (see Figure 2 as an example), while location and type of establishment served as independent variables.
Following the principle of accountability concerning data, which requires the analyst to quantitatively analyze not only the forms of interest but also those that might appear within the same reference domain (Porcar Miralles, Velando Casanova, and Vellón Lahoz 2019), all languages found in the linguistic landscape were captured and recognized as valid tokens. This means that, although our objective is to measure the use of English in the linguistic landscape, every language encountered was collected and included in the corpus of this study.
For data analysis, since all variables were categorical, contingency tables were created, and chi-square tests were conducted to measure the association, impact, and statistical significance of location and type of establishment in relation to language use. Additionally, upon identifying a variable with significant association, logistic regression analysis was performed to measure that variable's predictive capacity. Furthermore, since some guidelines require the inclusion of effect size in research articles (Loerts, Lowie, and Seton 2020, 69), the association values of Cramér’s V were also reported.
In the chi-square tests, the null hypothesis (H₀) posits that no association exists between the categorical variables, indicating that the observed differences in frequency distribution among categories are due to chance. In our study, the null hypothesis (H₀) suggests that neither location nor type of establishment modifies the linguistic code. Conversely, the alternative hypothesis (H₁) would indicate that location or type of establishment does indeed impact and modify the use of languages in the public space of the city of Armenia, meaning there is an association between variables. As is common in studies of this nature, our results will be evaluated based on a significance level (p) of less than 0.05, suggesting sufficient evidence to reject the null hypothesis. The data analysis and statistical tests were conducted using JASP (JASP Team 2024), and the graphs were designed using the ggplot package (Wickham 2016) in R.

3. Results

The aim of this study was to analyze the presence and degree of use of English in the linguistic landscape (LL) of Armenia, Colombia, identifying in which contexts and how frequently this language appears in public spaces, and to measure the impact of location and type of establishment on the choice of linguistic codes in public spaces across three zones of the city.
A total of 498 tokens were collected from the LL. After careful review and coding of the data for analysis, the dataset was reduced to 354 tokens, as some signs did not meet the parameters established for this study. Graphic 1 presents the distribution of symbolic languages identified in the dataset, meaning the languages used to name stores or establishments. The distribution of symbolic languages in our data shows that Spanish is the predominant language, representing 55.36% of the total instances. English comes in second place with 22.31%. The “Hybrid” and “Other” categories have similar percentages, with 10.45% and 11.86%, respectively. Figure 3 presents some examples of English as a symbolic language. Establishments such as “Sport Medical Center,” “Glam Beauty Salon,” “The Grand Bell,” “Phone,” “Sky Blue Spa,” “Chicken Armenia,” “Fish Point,” “Mr. Beer Liquor Store,” and “Beauty Shop Esthetics [sic]” were found.
On the other hand, regarding informative languages, Spanish remains the most prevalent linguistic code. However, compared to symbolic languages, its use is much higher, representing 73.87% of the instances. English, on the other hand, is no longer the second most common language, as it was found in only 10.11% of the data. In the advertisements, according to our results, the second most used language was a hybrid of Spanish and English, that is, bilingual ads, which were found in 13.76% of the data, while information in other languages only represented 2.24% ––see Graphic 2.
Graphic 1. Distribution of symbolic languages found in the LL of Armenia
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Graphic 2. Distribution of Informative Languages found in the LL of Armenia
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These results indicate a strong predominance of Spanish in the context of informative languages, with a significant presence of bilingual or hybrid ads, where information is presented in a mixture of Spanish and English. In Figure 4, we present examples of stores where English is used to provide information about the products offered, either partially or entirely. Ad A offers, among other items, snacks, smoke, and candies; Ad D offers cafe [sic] and food; and Ad F is presented as a smoke shop. Other ads provide all their information in English, such as sign B, which offers soufth [sic] ice cream; sign C, which offers a cocktail bar and food experience; or sign E, which offers retro games and burgers.
Thus, to answer our first research question (to what extent is English part of the linguistic landscape of Armenia, Quindío?), we can conclude that English has a moderate presence in the city’s linguistic landscape. In terms of store names (symbolic languages), English constitutes 22.31%, indicating a relevant, though not dominant, presence. Therefore, English ranks as the second most common language for symbolic names after Spanish. However, its presence significantly decreases in the realm of informative languages, where it only constitutes 10.11% of the instances observed, mainly because most information is given primarily in Spanish, followed by a hybrid or bilingual form, as exemplified in Figure 4.
This suggests that while English is visible in the names of establishments, its use is far less frequent in the information about products and services, where Spanish predominates. Additionally, there is a significant percentage of bilingual or hybrid information. Figure 3 shows some examples of the use of English as a symbolic language, while Figure 4 presents examples of hybrid ads where morphological elements of both languages are used. Comments on these findings will be presented in the discussion section.
To determine which variables influence the choice of linguistic code in the LL of Armenia, two independent variables were considered: location (in which zone the sign was found) and type of establishment. To measure the impact of these variables on symbolic and informative languages, chi-square tests were conducted, and Cramer’s V was calculated to assess the strength of each association.
When combining the variables Location and Symbolic Language, our results reveal that there is a statistically significant association between these variables (Χ² = 39.353, df = 6, p < .001, V = 0.236). In zone 1, Spanish is the predominant symbolic language, with 49.07% of cases, followed by English (23.14%), other languages (19.44%), and hybrid languages (8.33%). In zone 2, English predominates, representing 46.55% of the instances, surpassing Spanish-language signs (32.75%), hybrid signs (13.79%), and other languages (6.89%). Finally, in zone 3, Spanish is clearly dominant, with 65.95% of the data, while English has a lower presence (14.36%). Other languages represent 9.04%, and hybrid signs 10.63%.
Table 1. Contigency Table and Chi-Square test for Symbolic Language and Location.
Table 1. Contigency Table and Chi-Square test for Symbolic Language and Location.
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Since the chi-square test results were statistically significant (p < .001) and a moderate association (V = 0.236) was found between location and symbolic languages, a logistic regression analysis was conducted. The aim was to determine whether location, in addition to being associated with symbolic language, could also be a predictor of its use. However, the results indicated that location alone is not sufficient to predict the use of Spanish or other languages in the public spaces of the city, as reflected by the values of McFadden R² = 0.544 and Nagelkerke R² = 0.678, along with a p-value of 0.062.
Table 2. Logistic Regression for Symbolic Language and Location.
Table 2. Logistic Regression for Symbolic Language and Location.
Model Summary – Symbolic Language
Model Deviance AIC BIC df Χ² p McFadden R² Nagelkerke R² Tjur R² Cox & Snell R²
H₀ 13.496 15.496 15.981 11
H₁ 6.152 14.152 16.091 8 7.344 0.062 0.544 0.678 0.561 0.458
Regarding informative language, our results indicate that there is no association between this variable and location (Χ² = 11.931, df = 6, p = 0.064, V = 0.130). The predominant use of Spanish remains consistent across all three zones, representing 72.22% in zone 1, 67.24% in zone 2, and 76.84% in zone 3. While the use of English and hybrid signs shows slight variations across the zones, these results are not statistically significant. Therefore, we cannot reject the null hypothesis that postulates no association between the variables.
Table 3. Contingency Table and Chi-Square test for Informative Language and Location.
Table 3. Contingency Table and Chi-Square test for Informative Language and Location.
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Thus, to answer our second research question (to what extent does location affect the use of linguistic codes in the linguistic landscape of Armenia?), it can be stated that location does influence the use of linguistic codes in Armenia’s public spaces, but differently depending on the type of language. There is a significant –though not predictive– association in the use of symbolic languages, which varies between zones, while the use of informative language remains stable and shows no significant association with location. This suggests that although geographic location influences the symbolic language used in public spaces, other factors may account for the stability in the use of informative language.
Another variable considered in this study was the type of establishment. Before conducting statistical analyses, the levels of symbolic and informative language were modified to reduce the degrees of freedom. Instead of considering the variables with the levels of Spanish, English, hybrid, and others, the measurement of the association of establishments was simplified by focusing solely on the use of Spanish versus other languages in general. Thus, the variables were redefined as Spanish vs. others.
The results indicate that there is a statistically significant association between the type of establishment and symbolic language (Χ² = 36.044, df = 12, p < .001, V = 0.319). This suggests that the type of establishment influences the choice of language used in signs and advertisements, reflecting the identity and target market of each business. In contrast, no significant association was found between the establishment type and informative language (Χ² = 20.727, df = 12, p = 0.055, V = 0.242), indicating that the type of establishment does not significantly affect the use of informative language in signs and advertisements. In this case, Spanish continues to be the majority language in informative communication, regardless of the type of business.
Graphic 1. Symbolic Languages and Establishments
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These results reveal clear patterns in the use of Spanish versus other languages across different types of establishments. For example, in service establishments, such as payment services, money transfers, or law offices, 80.95% use Spanish. In contrast, in clothing stores, only 34.78% use Spanish, while 65.22% prefer other languages for naming their businesses. Thus, certain types of establishments show a clear preference for Spanish or for other languages. Sectors such as Health (74.24% in Spanish), Services (80.95% in Spanish), and Religion (80% in Spanish) tend to predominantly use Spanish. On the other hand, establishments like Clothing (65.22% in other languages), Entertainment (61.11% in other languages), and Beauty and Spa (53.12% in other languages) show a preference for other languages or for hybrid names where Spanish is combined with English or other languages.
In this way, we answer the third research question (how does the type of establishment influence the linguistic code of the city of Armenia?) by pointing out that the type of establishment presents a significant association with symbolic languages but not with informative languages. The results indicate that sectors such as vehicle sales and repair, clothing stores, entertainment venues, and beauty salons and barbershops show a clear tendency to use languages other than Spanish for naming their businesses. On the other hand, religious establishments, service offices, and home goods stores maintain their names in Spanish, reflecting a preference for this language in contexts involving more formal or traditional communication.

5. Conclusions

Through our exploration of the LL of Armenia, Colombia, we have shed light on the impact of globalization on the use of Spanish and English in public signage, particularly in business names. Our findings aim to add to the literature of the sociolinguistics of globalization and to our understanding of linguistic hybridization, cultural identity, and social dynamics.
The study was guided by three primary research questions: the extent to which English is part of the linguistic landscape of Armenia, how location affects language choice, and how the type of establishment influences language use. These questions were addressed through a quantitative methodology, employing Chi-square tests and logistic regression to analyze the relationship between symbolic language choice and variables such as location and type of establishment.
The analysis revealed several significant findings. On the one hand, there was a statistically significant association between location and language choice (Χ² = 39.353, p <.001), with commercial zones having high tourist traffic, such as Zone 2, showing a pronounced preference for English (46.55%). This reflects branding strategies aimed at attracting a younger, cosmopolitan audience. Similarly, the type of establishment also significantly influenced language use. Traditional sectors like health services (74.24% in Spanish) and religious institutions (80% in Spanish) predominantly used Spanish, emphasizing the community's need for accessible communication.
On the other hand, we highlighted the presence of hybrid names, indicating a blending of languages, particularly in the most commercial areas. This hybridization serves as both a reflection and reinforcement of cultural identity and social hierarchies. At the same time, English functions as symbolic capital, enhancing the prestige and appeal of commercial establishments. This phenomenon is emblematic rather than denotative, possessing a "chic appeal" that reflects the influence of globalization on local cultural dynamics.
With our study we underscore the importance of location and type of establishment in shaping the linguistic landscape of urban environments and aim to support the notion that linguistic hybridization is a complex process influenced by both local identities and global trends. Furthermore, our study emphasizes that Quindío's pluri-ethnic and multicultural identity is further complicated by globalization. The use of English in public spaces is not a sign of gentrification but rather a manifestation of globalization's impact, adding a new layer of complexity to the region's cultural diversity.
Drawing from our sociolinguistic ethnographic approach, in this paper we aim to highlight the relationship between language use and sociocultural processes, demonstrating how language shapes and is shaped by social dynamics within urban landscapes, particularly in the context of globalization. Finally, we argue that ––in Armenia, Colombia–– English serves as symbolic capital, influencing social hierarchies and cultural identity within the urban landscape of the city. This symbolic function of language is crucial in understanding how globalization affects local language practices.
Future studies could further explore the dynamics of linguistic hybridization in other urban environments, particularly in regions with diverse cultural and linguistic backgrounds. Investigating the perceptions of local residents and business owners regarding the use of English in public signage could provide additional insights into the social and cultural implications of linguistic hybridization. Moreover, a longitudinal study could track changes in the linguistic landscape over time, offering a more comprehensive understanding of how globalization continues to shape local language practices.

Supplementary Materials

In alignment with ethical procedures in academic research, all data and corpus compiled for this study are available for exploration and use. Interested researchers can obtain access by contacting the corresponding author of this paper via email.

Author Contributions

[blinded for peer review]

Funding

This research received no external funding

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The supporting data for the reported results in this article are available in an Excel sheet hosted on Overdrive. This dataset contains the information analyzed during the study and is open for public scrutiny. Access to the dataset is facilitated through contacting the main author for further inquiries or clarifications.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Data Collection Zones.
Figure 1. Data Collection Zones.
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Figure 2. Example of Symbolic and Informative Languages. Photograph Taken in Zone 1.
Figure 2. Example of Symbolic and Informative Languages. Photograph Taken in Zone 1.
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Figure 3. English as Symbolic Language.
Figure 3. English as Symbolic Language.
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Figure 4. English as Informative Language.
Figure 4. English as Informative Language.
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Figure 5. Linguistic Hybridization in the LL.
Figure 5. Linguistic Hybridization in the LL.
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Figure 6. Example of a bilingual advertisement in a religious institution.
Figure 6. Example of a bilingual advertisement in a religious institution.
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