Linguistic Research Research Articles

Emotional tone in clinical high risk for psychosis: novel insights from a natural language analysis approach.

Individuals at clinical high risk (CHR) for psychosis experience subtle emotional disturbances that are traditionally difficult to assess, but natural language processing (NLP) methods may provide novel insight into these symptoms. We predicted that CHR individuals would express more negative emotionality and less emotional language when compared to controls. We also examined associations with symptomatology. Participants included 49 CHR individuals and 42 healthy controls who completed a semi-structured narrative interview. Interview transcripts were analyzed using Linguistic Inquiry and Word Count (LIWC) to assess the emotional tone of the language (tone -the ratio of negative to positive language) and count positive/negative words used. Participants also completed clinical symptom assessments to determine CHR status and characterize symptoms (i.e., positive and negative symptom domains). The CHR group had more negative emotional tone compared to healthy controls (t=2.676, p=.009), which related to more severe positive symptoms (r2=.323, p=.013). The percentages of positive and negative words did not differ between groups (p's>.05). Language analyses provided accessible, ecologically valid insight into affective dysfunction and psychosis risk symptoms. Natural language processing analyses unmasked differences in language for CHR that captured language tendencies that were more nuanced than the words that are chosen.

MACHINE LEARNING AND THE STUDY OF LANGUAGE CHANGE: A REVIEW OF METHODOLOGIES AND APPLICATION

Language change, a fundamental aspect of human communication, has long been a central focus in linguistic research. Traditional methods of analysis, while valuable, have been limited by the scale and complexity of linguistic data. The advent of machine learning (ML) offers transformative potential in this field, enabling the analysis of vast datasets and the discovery of subtle patterns that may elude manual scrutiny. This review paper comprehensively examines the current state of ML methodologies in the study of language change, synthesizing findings from 67 peer-reviewed articles. We delve into diverse ML approaches, including supervised, unsupervised, and deep learning techniques, and critically evaluate their applications across various linguistic domains, such as historical linguistics, sociolinguistics, and language contact. We address challenges related to data availability, bias, and model interpretability, emphasizing the need for transparent and rigorous methodologies. By summarizing key findings and outlining future directions, this review aims to foster interdisciplinary collaboration between linguists and computer scientists, advancing our understanding of the complex dynamics of language evolution.

A Linguistic Analysis of United States Navy Orthopaedic Surgery Applicant Personal Statements.

Despite the importance of linguistic analysis, no systematic research has been explored in the form of linguistic analysis on personal statements for military orthopedic surgery residency programs. This study was conducted to analyze U.S. Navy (USN) orthopedic surgery applicants' personal statements using an automated textual analysis program to assess personal statements for linguistic styles. A retrospective analysis of USN orthopedic applicant personal statements from application years 2016 to 2019 was performed utilizing the Linguistic Inquiry and Word Count (LIWC) software. LIWC analyzed the text for summary variables: analytical thinking, clout, authenticity, and emotional tone. We compared this analysis with Step 1 and Step 2 scores and determined whether an applicant matched. A total of 94 personal statements (60,230 words) were analyzed using LIWC. The average word count was 640.7, with an average of 23 words per sentence. The average-matched applicant USMLE Step 1 and Step 2 scores were 240 and 250, respectively. When examining summary traits utilizing multiple logistic regression analysis, only analytical thinking demonstrated a statistically significant difference in matched versus unmatched applicants with a P = .011 (OR = 1.10). As the USMLE Step 1 exam transitions from a scoring system to Pass/Fail grading, programs will look at other characteristics to determine who would likely succeed in residency. From a linguistic analysis standpoint, matched applicants' personal statements demonstrated higher analytical thinking, clout, affiliation, power, and risk focus than unmatched applicants. Unmatched applicants demonstrated higher authenticity than matched applicants.

Hierarchical syntax model of music predicts theta power during music listening

Linguistic research showed that the depth of syntactic embedding is reflected in brain theta power. Here, we test whether this also extends to non-linguistic stimuli, specifically music. We used a hierarchical model of musical syntax to continuously quantify two types of expert-annotated harmonic dependencies throughout a piece of Western classical music: prolongation and preparation. Prolongations can roughly be understood as a musical analogue to linguistic coordination between constituents that share the same function (e.g., ‘pizza’ and ‘pasta’ in ‘I ate pizza and pasta’). Preparation refers to the dependency between two harmonies whereby the first implies a resolution towards the second (e.g., dominant towards tonic; similar to how the adjective implies the presence of a noun in ‘I like spicy … ’). Source reconstructed MEG data of sixty-five participants listening to the musical piece was then analysed. We used Bayesian Mixed Effects models to predict theta envelope in the brain, using the number of open prolongation and preparation dependencies as predictors whilst controlling for audio envelope. We observed that prolongation and preparation both carry independent and distinguishable predictive value for theta band fluctuation in key linguistic areas such as the Angular, Superior Temporal, and Heschl's Gyri, or their right-lateralised homologues, with preparation showing additional predictive value for areas associated with the reward system and prediction. Musical expertise further mediated these effects in language-related brain areas. Results show that predictions of precisely formalised music-theoretical models are reflected in the brain activity of listeners which furthers our understanding of the perception and cognition of musical structure.

Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer.

Breast cancer affects the lives of not only those diagnosed but also the people around them. Many of those affected share their experiences on social media. However, these narratives may differ according to who the poster is and what their relationship with the patient is; a patient posting about their experiences may post different content from someone whose friends or family has breast cancer. Weibo is 1 of the most popular social media platforms in China, and breast cancer-related posts are frequently found there. With the goal of understanding the different experiences of those affected by breast cancer in China, we aimed to explore how content and language used in relevant posts differ according to who the poster is and what their relationship with the patient is and whether there are differences in emotional expression and topic content if the patient is the poster themselves or a friend, family member, relative, or acquaintance. We used Weibo as a resource to examine how posts differ according to the different poster-patient relationships. We collected a total of 10,322 relevant Weibo posts. Using a 2-step analysis method, we fine-tuned 2 Chinese Robustly Optimized Bidirectional Encoder Representations from Transformers (BERT) Pretraining Approach models on this data set with annotated poster-patient relationships. These models were lined in sequence, first a binary classifier (no_patient or patient) and then a multiclass classifier (post_user, family_members, friends_relatives, acquaintances, heard_relation), to classify poster-patient relationships. Next, we used the Linguistic Inquiry and Word Count lexicon to conduct sentiment analysis from 5 emotion categories (positive and negative emotions, anger, sadness, and anxiety), followed by topic modeling (BERTopic). Our binary model (F1-score=0.92) and multiclass model (F1-score=0.83) were largely able to classify poster-patient relationships accurately. Subsequent sentiment analysis showed significant differences in emotion categories across all poster-patient relationships. Notably, negative emotions and anger were higher for the "no_patient" class, but sadness and anxiety were higher for the "family_members" class. Focusing on the top 30 topics, we also noted that topics on fears and anger toward cancer were higher in the "no_patient" class, but topics on cancer treatment were higher in the "family_members" class. Chinese users post different types of content, depending on the poster- poster-patient relationships. If the patient is family, posts are sadder and more anxious but also contain more content on treatments. However, if no patient is detected, posts show higher levels of anger. We think that these may stem from rants from posters, which may help with emotion regulation and gathering social support.

Researchers Training Researchers: Ethics Training in Quantitative Applied Linguistics

AbstractThis forum piece reports on a brief survey of current quantitative research ethics training materials in Applied Linguistics (AL). This survey was conducted as a step towards an increased understanding of the ways in which we, as a field, train students and researchers to conduct quantitative research ethically. The survey was carried out in the process of creating research ethics training materials as part of a grant‐funded project related to questionable research practices (QRPs). Through manual and computer‐assisted searches in twenty‐four textbooks and twenty‐three course syllabi from the past five years, three themes emerged: (1) research ethics is most often conceptualized in terms of IRB‐related topics, (2) when ‘ethical gray‐zone’ issues are mentioned, the focus is primarily on methodological transparency, data sharing/open science, and selecting the appropriate research design and statistical tests, and (3) materials tend to address the topic of research ethics in a single section or chapter, or in a single day or week of a course. Against this background, we provide three recommendations that our field can implement to provide more robust and thorough research ethics training for students and researchers in TESOL and Applied Linguistics: (1) expand our conceptualization of research ethics to include ethical gray‐zone issues, (2) be thorough and explicit in our discussion of ethical issues related to research decisions, and (3) incorporate research ethics as a recurring theme throughout textbooks and courses.

Linguistic-induced life insurance consumption

Linguistic research shows that there are differences in how language distinguishes future events from the present. When a language speaker separates the grammatical structure of a language from the future and present, they also separate the future and present in behavior when facing intertemporal choices. In this study, we investigate language induced time perception as a determinant of cross-country life insurance consumption. The evidence demonstrates that life insurance consumption is higher in countries where there is non-obligatory grammatical future tense in language. This result still confirms the language-insuring hypothesis after considering cultural dimensions, alternative language variables, alternative insurance variable and endogeneity problem. To sum up, the results suggest that language featured by future time reference affects speaker’s time perception and life insurance decision. Our evidence also provides implication for life insurer in multinational businesses.

Linguistic Analysis of Nonsuicidal Self-Injury Reddit Posts: Implications for Family Therapy

Nonsuicidal self-injury (NSSI) is a growing phenomenon, yet there is still a limited understanding of the behavior, intent behind the behavior and what individuals themselves say about their behavior. This study collected pro-NSSI public blog posts from Reddit and analyzed the content linguistically using Linguistic Inquiry and Word Count software, to examine the use of NSSI specific words, linguistic and psychological linguistic properties. The results inform current mental health practices by dispelling myths and providing insight into the inner world of people who engage in NSSI. The linguistic properties found in the analysis reflected the predicted results; authors of pro-NSSI posts used first-person singular pronouns extensively, indicating high levels of mental health distress and isolation. This study demonstrates how understanding the language of self-harm can help inform mental health treatment using family therapy.

Exploring Stemming Techniques in Ambon Malay Languages: A Systematic Literature Review

Stemming in Ambonese posed a significant challenge due to its extensive lexicon, encompassing approximately 127,000 base words as recorded in the Kamus Besar Bahasa Indonesia (Indonesian Dictionary). This complexity arises from the task of extracting base words from those with affixes, necessitating the removal of various affixes such as prefixes, infixes, suffixes, and their combinations. This process greatly influences analytical outcomes. To address this linguistic complexity, several stemming algorithms were developed. These include Nazief Adriani, Enhanced Confix Stripping, Sastrawi, and Tala, each offering unique techniques to handle stemming complexities in Indonesian. The selection of the appropriate algorithm is crucial for ensuring the accuracy and reliability of the stemming process within the analytical framework. In conducted stemming research, there were variations in methods used. The most frequently used algorithm was Nazief Adriani, with 17 recorded cases, followed by Enhanced Confix Stripping with 12 cases. Sastrawi, although less frequent, was used in 4 cases, while Tala appeared in 1 case. This diversity reflects the available choices in selecting a fitting stemming method. However, this may relate to factors such as ongoing research projects, funding availability, or other external conditions affecting research production during that period. Consequently, stemming research remains an interesting and relevant topic, with the potential for continued growth and significant contributions to text processing and linguistic research in the future.

Investigating Patient Satisfaction Through Web-Based Reviews of Norwegian Dentists: Quantitative Study Using the Meaning Extraction Method.

Challenging encounters in health care professions, including in dentistry, are relatively common. Challenging encounters can be defined as stressful or emotional situations involving patients that could impact both treatment outcomes and patients' experiences. Through written web-based reviews, patients can share their experiences with health care providers, and these posts can be a useful source for investigating patient satisfaction and their experiences of challenging encounters. This study aims to identify dominant themes from patient-written, web-based reviews of dentists and investigate how these themes are related to patient satisfaction with dental treatment. The study data consisted of 11,764 reviews written by dental patients, which included 1- to 5-star ratings on overall satisfaction and free-text comments. The free-text comments were analyzed using Linguistic Inquiry and Word Count software, and the meaning extraction method was used to group words into thematic categories. These themes were used as variables in a multilevel logistic regression analysis to predict patient satisfaction. Eight themes emerged from the analyses, of which 6 (75%)-explanation (odds ratio [OR] 2.56, 95% CI 2.16-3.04; P<.001), assurance (OR 3.61, 95% CI 2.57-5.06; P<.001), performance assessment (OR 2.17, 95% CI 1.84-2.55; P<.001), professional advice (OR 1.81, 95% CI 1.55-2.13; P<.001), facilities (OR 1.78, 95% CI 1.08-2.91; P=.02), and recommendation (OR 1.31, 95% CI 1.12-1.53; P<.001)-increased the odds of high patient satisfaction. The remaining themes (2/8, 25%)-consequences of treatment need (OR 0.24, 95% CI 0.20-0.29; P<.001) and patient-centered care (OR 0.62, 95% CI 0.52-0.74; P<.001)-reduced the odds of high patient satisfaction. The meaning extraction method is an interesting approach to explore patients' written accounts of encounters with dental health professionals. The experiences described by patients provide insight into key elements related to patient satisfaction that can be used in the education of dental health professionals and to improve the provision of dental health services.

Do pictures' emotional valence and arousal affect younger and older adults' narratives?

Emotional content, specifically negative valence, can differentially influence speech production in younger and older adults' autobiographical narratives, which have been interpreted as reflecting age differences in emotion regulation. However, age differences in emotional reactivity are another possible explanation, as younger and older adults frequently differ in their affective responses to negative and positive pictures. The present experiment investigated whether a picture's valence (pleasantness) and arousal (intensity) influenced older adults' production of narratives about those pictures. Thirty younger and 30 older participants produced narratives about pictures that varied in valence (positive, negative, and neutral) and arousal (high, low). Narratives were recorded via Zoom, transcribed, and analyzed with Linguistic Inquiry and Word Count-22 to get measures of emotional word use, disfluencies, and linguistic distance. Results showed that negative valence increased age differences in speech production independent of picture arousal: Relative to younger adults, older adults used more positive words, fewer negative words, and had more silent pauses when telling narratives about negative pictures. In contrast, high arousal decreased age differences such that older adults used fewer positive words in narratives about positive pictures and more linguistically distant words evidenced by fewer present-tense verbs, relative to narratives about low-arousal pictures. Contrary to an explanation of enhanced regulation or control over emotions in older adulthood, these findings support the idea that older adults' speech production is influenced by their reactivity or affective response to emotional stimuli even when the task is not to communicate one's emotions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

She Speaks for Millions: The Emergence of Female Diplomatic Voices in the Russo-Ukrainian War

This research critically investigates the public diplomacy strategies deployed by a cohort of influential female European leaders on Twitter during the Russo-Ukrainian War of 2022-2023. The study comprises eight leaders - Kallas (Estonia), Marin (Finland), von der Leyen (President of the European Commission), Metsola (President of the European Parliament), Sandu (Moldova), Simonyte (Lithuania), Zourabichvili (Georgia), and Meloni (Italy) - representing millions of constituents. By mirroring the analytical attention given to Ukraine's President, Volodymyr Zelenskyy, this study scrutinizes the distinct approaches and differences in emotional, cognitive, and structural language use between these influential female figures and President Zelenskyy in their respective Twitter discourse during the crisis. By employing the Linguistic Inquiry and Word Count (LIWC)-22 dictionary, this research intends to uncover unique patterns and nuances in the language use of these leaders, thereby offering fresh insights into the gendered communication and diplomacy employed by the female cohort during conflicts. Keywords: Public diplomacy, Female leadership, Russo-Ukrainian War, Twitter communications, Linguistic Inquiry and Word Count (LIWC), Diplomacy, gendered communication

Elicited imitation in second language acquisition research: New insights to advance methodological rigor (Introduction to the special issue)

This introduction provides an overview of the state of research on and knowledge about the use of elicited imitation in applied linguistics research, highlighting gaps in our current understanding of this tool. It then introduces the eight articles that comprise the special issue.

Specificity and generality of lexical bundles in the rhetorical moves of Applied Linguistics research article introductions

Investigating the linguistic realizations of rhetorical moves through lexical bundles is a research area that has recently gained momentum. However, the lack of a fully annotated corpus has impeded the full understanding of the relationship between formulaic sequences and their corresponding moves. Accordingly, this study addressed this lacuna by annotating 1000 Applied Linguistics research article (RA) introductions using a framework developed for the current study to identify bundles characterizing communicative moves that configure introductions. Following a manual move identification of RA introductions, lexical bundles were extracted using AntConc and manually refined. This was followed by systematic identification of their functions in their co-text. Results indicated that some lexical bundles (i.e., move-general) occur in several moves or steps, whereas other bundles (i.e., move-specific) perform distinct discursive functions within each move. In other words, the development of rhetorical moves and bundles within each move is intricately interwoven and collaboratively contributes to developing ideas in the analyzed section. Furthermore, the functional analyses indicated that text-oriented bundles emerged as a strong indicator of the communicative moves of RA introductions, which performed distinct functions within each move. Drawing on key pedagogical insights, findings can serve as an instructional framework for instructors, students, and novice writers.

L7 mastered to nativelike proficiency in adulthood – a case study of simultaneous multiple language acquisition processes challenging Lenneberg’s (1967) critical period hypothesis

ABSTRACT This paper seeks to present the case of successful nativelike proficiency in L7, achieved in adulthood. As a case study of multiple language acquisition processes acquired, both in childhood and adulthood, this study operates in the fields of multilingualism and language acquisition. The author presents her experiences of language acquisition and command of the languages: Mauritian Creole Kreol, French, English, Arabic, Urdu, Italian, and Turkish. The paper is shaped into a narrative as it is stipulated that autobiography can be used as data in linguistics research [Pavlenko (2007). Autobiographic narratives as data in applied linguistics. Applied Linguistics, 28(2), 163–188]. Simultaneous acquisition of five languages, in early childhood, is a phenomenon of success in light of Lenneberg’s theory of Critical Period Hypothesis (CPH) (1967). However, Lenneberg’s CPH is challenged when Turkish is analysed as a chronological L7, acquired successfully in adulthood to nativelike proficiency. This is assessed using an eclectic theoretical framework comprising: the theory of Muñoz on the age of learning languages [(2008). Age-related differences in foreign language learning. Revisiting the empirical evidence. IRAL, International Review of Applied Linguistics in Language Teaching, 46(3), 197]; the Dynamic Model of Multilingualism by Philip Herdina and Ulrike Jessner [(2002). A dynamic model of multilingualism: Perspectives of change in psycholinguistics (Vol. 121). Multilingual Matters]; the Factor Model [Hufeisen (2000). A European perspective: Tertiary languages with a focus on German as L3. In J. W. Rosenthal (Ed.), Handbook of undergraduate second language education (pp. 209–229). Routledge], Hammarberg’s [(2017). Becoming multilingual: The macro and the micro time perspective. International Review of Applied Linguistics in Language Teaching, 55(1), 3–22] theory on time perspectives. While justifying the shift of status of Turkish to second language, the author discusses the processes to multilingual success in communicative competence [Hymes (1972) On communicative competence. In J. B. Pride & J. Holmes (Eds.), Sociolinguistics. Selected readings (pp. 269–293). Penguin] in the discussed languages.

ISSUES OF DEVELOPMENT OF THE KAZAKH LANGUAGE TRAINING CORPUS

The creation of national corpora is an urgent problem of the modern digital era. The creation of corpora in the world linguistics began in the middle of the last century. The experience of creating a corpus of the first English language served as a basis for creating corpora of other European languages, as well as Russian and Turkic languages. Research and teaching corpora, which were previously carried out manually, have achieved great results through the use of. The corpora provided the user with more materials, created new dictionaries and facilitated linguistic research. The number of corpus users increased day by day. Such needs favored the creation of corpora depending on the purpose of the user. For historians or researchers of historical linguistics – historical corpus, for translators and language learners – parallel corpus, for researchers of speech peculiarities and development of speech culture - there was a need to create oral corpora. At the same time, there is an urgent need to create educational corpuses – the only tool for digitalization of education. An educational corpus is an information and corpus base for language learners. The article gives an overview of the world experience in the development of educational corpora. The questions of what texts are contained in the text base of English, Russian language learning corpora, what linguistic information is provided to linguists, etc. are studied. The necessary prerequisites for thedevelopment of the Kazakh language training course being developed at the A. Baitursynov Institute of Linguistics will also be determined. Metadata and linguistic markups aimed at teaching/learning the language, ways of adapting reference tools to Kazakh language acquisition by language learners, computer-software methods are considered.

Role of Language in Emotions and Bias: A Cognitive Linguistic Perspective of Affective Political Media in the US

In todays digital era, where emotions are central to journalism and information disseminates rapidly, the role of language in transmitting emotions, stereotypes, and biases has become a subject of debate and study. The use of language in news media can be argued, as it may prioritize sensationalism over accuracy to tap into peoples feelings under new business models and the attention economy. While journalism ethics aim to minimize bias, journalism consistently incorporates emotions to captivate the audience and create an experience of involvement. This is significant because language, consumed from diverse media news channels, is integral to cognition. Research in cognitive linguistics demonstrates that human beings view the world in metaphoric terms, and language defines and constrains communication, thinking, and sense-making. This article explores linguistic mechanisms such as metaphors of flood and aliens, agenda setting, selectivity, framing, and expectancy bias, through which emotions, perspectives, and affectivity are sustained and propagated in political news reporting. It considers the impact of stereotypes and biases, particularly in the media portrayal of undocumented immigrants and different framings in the description of the War in Gaza. The article highlights that language is seldom neutral and is intertwined with motives, emphasizing the importance of understanding the persuasive power of words. In conclusion, this paper reveals the role of language in shaping perceptions of message receivers and contributes to enhancing linguistic justice, informing more ethical approaches to journalism and media production. It emphasizes the need for an editorially conscious and intelligent use of language to create engaging, empathetic content.

A Systematic Review of English Language Teacher Agency

This systematic review of literature aims to systematically investigate language teacher agency as the capacity of teachers to act purposefully to direct their professional growth, find solutions to educational challenges they face, and improve their classroom practices for the sake of effectiveness in the classroom. Four inclusion criteria were established before conducting the research. Only empirical studies published between 2000 and 2022, which were done in a context in which the instructional language is English, the articles investigating ESL/EFL student teachers’, pre-service or in-service teachers’ agency, and the ones investigating agency of teachers from non-English speaking countries were included. Piri database search engine was used for identifying published empirical articles for this systematic review. 410 studies to be eligible were identified, 67 articles were read, and 12 empirical studies met the inclusion criteria. The results showed that most of the studies have been done in a qualitative approach, and four out of 12 articles have adopted a CDST perspective, which is overwhelmed by non-CDST ones. This result demonstrates that the paradigm shift adopting a CDST perspective in applied linguistics research methods is in its infancy.

Minority genders in quantitative survey research: a data-driven approach to clear, inclusive, and accurate gender questions

Abstract Whilst linguistic research on speakers of minority genders has increased in the past decade, much less is known about how they can best be included in broader (socio)linguistic research. The current paper compares the way a range of five different gender measures for survey research are filled out and evaluated by a sample of LGBTQ+ people (N = 682). It finds that providing a larger range of answering options allows researchers to gain a better view of the gender diversity in their sample, whilst preventing refusals and loss of participants. The gender question that was least likely to be refused and was rated the most accurate, most inclusive, and clearest was a six-option multiple-choice question which included a “prefer not to say” and a write-in option. This question reconciles two competing interests in the treatment of queer data: it explicitly recognizes and names minority genders and simultaneously carves out space for participants to refuse categorization or write out gender identities beyond those preset by the researcher.

The Syntax of ʔiˈða al-fud͡ʒɑːʔiːja ‘If of Surprise’ in Classical Arabic

This scholarly investigation deals with the intricacies surrounding the syntactical nature of the phenomenon known as “If of Surprise” in the context of Classical Arabic, employing a methodological lens derived from the Minimalist framework. The “If of Surprise” construct represents a unique form of expression that incorporates a particle phonetically resembling the conditional particle “if” in Classical Arabic, yet its underlying structure diverges from establishing genuine conditional relationships. By employing the analytical tools provided by the Minimalist Program, this study scrutinizes the data associated with “If of Surprise” constructions, utilizing several syntactic diagnostics to uncover their distinctive characteristics. The findings of this study unequivocally demonstrate that “If of Surprise” exhibits remarkable traits that set it apart from conventional syntactic patterns. By shedding light on the mechanisms through which these projections operate, the study provides a comprehensive understanding of the sudden interpretive nature exhibited by “If of Surprise” By delving into the intricacies of its syntactic structure and exploring the role of Speech Act Projections, this research contributes to the broader field of linguistic inquiry and aids in unraveling the complexities inherent in the syntax of Classical Arabic.