Hasil untuk "Philology. Linguistics"

Krasimir Kabakciev

Tense, aspect and modality are important issues relevant both in and across languages – in contrastive and typological terms, and for linguists worldwide they have always been major and very special points of interest and research. In July 2024 and July 2025, Special Sessions entitled “TAM In and Across Languages” were organized and took place within Atiner’s 17th and 18th Annual International Conferences on Languages and Linguistics in Athens. They drew the attention of a group of linguists who made presentations on TAM, most of which later turned into research articles published by the Athens Journal of Philology. This article offers a summary of the two Special TAM Sessions within the perspective of current theoretical linguistics and an overview of three of the papers based on the conference presentations, authored by Shinian Wu (USA), Sema Kutsarova (Bulgaria), and Desislava Dimitrova (Bulgaria). Keywords: tense, aspect, modality, the Perfect, (non )cancellability, (non )witnessing, speaker ghosting, grammaticalization, pragmatic aspects of aspect

Anna Aleksandrovna Pylkova

The aim of the study is to identify the possibilities of applying the ethnocentric model of teaching Russian as a foreign language (RFL) to Chinese students from the perspective of linguistic and cultural adaptation at the stage of pre-university education. The article analyzes the experience of ethnocentric RFL education at the Higher School of Russian Philology of the Institute of Linguistics and Intercultural Communication of the Pacific National University. The scientific novelty lies in an integrated approach to considering the ethnocentric model of teaching Chinese students in different formats of educational activities. As a result, the importance of the ethnocentric model of linguistic and cultural adaptation in teaching Russian as a foreign language to the Chinese contingent of students is revealed and methodological recommendations for teachers on the introduction of an ethnocentric model of teaching RFL to Chinese students from the perspective of linguistic and cultural adaptation in traditional and non-traditional teaching formats are developed. Non-traditional teaching formats include a variety of forms and methods of teaching that differ from traditional teaching methods (conference lessons, concert lessons, interactive lectures, etc.).

Vittorio Frigerio

Kuo-Hsuan Hung, Xugang Lu, Szu-Wei Fu et al.

Linguistic knowledge plays a crucial role in spoken language comprehension. It provides essential semantic and syntactic context for speech perception in noisy environments. However, most speech enhancement (SE) methods predominantly rely on acoustic features to learn the mapping relationship between noisy and clean speech, with limited exploration of linguistic integration. While text-informed SE approaches have been investigated, they often require explicit speech-text alignment or externally provided textual data, constraining their practicality in real-world scenarios. Additionally, using text as input poses challenges in aligning linguistic and acoustic representations due to their inherent differences. In this study, we propose the Cross-Modality Knowledge Transfer (CMKT) learning framework, which leverages pre-trained large language models (LLMs) to infuse linguistic knowledge into SE models without requiring text input or LLMs during inference. Furthermore, we introduce a misalignment strategy to improve knowledge transfer. This strategy applies controlled temporal shifts, encouraging the model to learn more robust representations. Experimental evaluations demonstrate that CMKT consistently outperforms baseline models across various SE architectures and LLM embeddings, highlighting its adaptability to different configurations. Additionally, results on Mandarin and English datasets confirm its effectiveness across diverse linguistic conditions, further validating its robustness. Moreover, CMKT remains effective even in scenarios without textual data, underscoring its practicality for real-world applications. By bridging the gap between linguistic and acoustic modalities, CMKT offers a scalable and innovative solution for integrating linguistic knowledge into SE models, leading to substantial improvements in both intelligibility and enhancement performance.

Ezgi Başar, Francesca Padovani, Jaap Jumelet et al.

We introduce TurBLiMP, the first Turkish benchmark of linguistic minimal pairs, designed to evaluate the linguistic abilities of monolingual and multilingual language models (LMs). Covering 16 linguistic phenomena with 1000 minimal pairs each, TurBLiMP fills an important gap in linguistic evaluation resources for Turkish. In designing the benchmark, we give extra attention to two properties of Turkish that remain understudied in current syntactic evaluations of LMs, namely word order flexibility and subordination through morphological processes. Our experiments on a wide range of LMs and a newly collected set of human acceptability judgments reveal that even cutting-edge Large LMs still struggle with grammatical phenomena that are not challenging for humans, and may also exhibit different sensitivities to word order and morphological complexity compared to humans.

Ben Blum-Smith, Claudia Brugman, Thomas Conners et al.

This essay develops a parallel between the Fundamental Theorem of Galois Theory and the Stone--Weierstrass theorem: both can be viewed as assertions that tie the distinguishing power of a class of objects to their expressive power. We provide an elementary theorem connecting the relevant notions of "distinguishing power". We also discuss machine learning and data science contexts in which these theorems, and more generally the theme of links between distinguishing power and expressive power, appear. Finally, we discuss the same theme in the context of linguistics, where it appears as a foundational principle, and illustrate it with several examples.

Chiara Alzetta, Serena Auriemma, Alessandro Bondielli et al.

Over the past decade, Computational Linguistics (CL) and Natural Language Processing (NLP) have evolved rapidly, especially with the advent of Transformer-based Large Language Models (LLMs). This shift has transformed research goals and priorities, from Lexical and Semantic Resources to Language Modelling and Multimodality. In this study, we track the research trends of the Italian CL and NLP community through an analysis of the contributions to CLiC-it, arguably the leading Italian conference in the field. We compile the proceedings from the first 10 editions of the CLiC-it conference (from 2014 to 2024) into the CLiC-it Corpus, providing a comprehensive analysis of both its metadata, including author provenance, gender, affiliations, and more, as well as the content of the papers themselves, which address various topics. Our goal is to provide the Italian and international research communities with valuable insights into emerging trends and key developments over time, supporting informed decisions and future directions in the field.

George Mikros

Large language models (LLMs) present a dual challenge for forensic linguistics. They serve as powerful analytical tools enabling scalable corpus analysis and embedding-based authorship attribution, while simultaneously destabilising foundational assumptions about idiolect through style mimicry, authorship obfuscation, and the proliferation of synthetic texts. Recent stylometric research indicates that LLMs can approximate surface stylistic features yet exhibit detectable differences from human writers, a tension with significant forensic implications. However, current AI-text detection techniques, whether classifier-based, stylometric, or watermarking approaches, face substantial limitations: high false positive rates for non-native English writers and vulnerability to adversarial strategies such as homoglyph substitution. These uncertainties raise concerns under legal admissibility standards, particularly the Daubert and Kumho Tire frameworks. The article concludes that forensic linguistics requires methodological reconfiguration to remain scientifically credible and legally admissible. Proposed adaptations include hybrid human-AI workflows, explainable detection paradigms beyond binary classification, and validation regimes measuring error and bias across diverse populations. The discipline's core insight, i.e., that language reveals information about its producer, remains valid but must accommodate increasingly complex chains of human and machine authorship.

Sergey Viktorovich Chebanov

István Csernicskó, Anikó Beregszászi, Andrea Pősze et al.

The role and significance of the courses “Introduction to Linguistics” and “General Linguistics” in the training of future philologists at leading universities worldwideIstvánCsernicskó, doctor of sciences in linguistics, professor. Ferenc Rákóczi II Transcarpathian Hungarian College of Higher Education, Department of Philology, full professor; University of Pannonia, Institute for Hungarian and Applied Linguistics, full professor. csernicsko.istvan@kmf.org.ua, ORCID: 0000-0003-4512-988X.Anikó Beregszászi,habilitated doctor. Ferenc Rákóczi II Transcarpathian HungarianCollege of Higher Education, Department of Philology, full professor. beregszaszi.aniko@kmf.org.ua, ORCID: 0000-0001-6860-7579.Andrea Pősze, candidate of pedagogical sciences, associate professor. Ferenc Rákóczi II Transcarpathian Hungarian College of Higher Education,Department of Philology, associate professor. University of Nyíregyháza, Institute of Linguistics and Literature, associate professor. pevse.andrea@kmf.org.ua, ORCID: 0000-0002-0564-2307.Krisztián Váradi. Ferenc Rákóczi II Transcarpathian Hungarian College of Higher Education, Department of Philology, trainee lecturer. University of Pannonia, Multilingualism Doctoral School, PhD student. varadi.krisztian@kmf.org.ua, ORCID: 0000-0001-7554-4158.The article presents a comparative analysis of the role and significance of the courses Introduction to Linguisticsand General Linguisticsin the training of future philologists at twelve leading universities worldwide, as identified by the Academic Ranking of World Universities 2024. The study examines the availability of these courses, their core thematic components, recommended textbooks and teaching materials, while also identifyingcommonalities and key differences across the selected programmes. It was found that Introduction to Linguisticsand General Linguisticsconstitute fundamental educational components of philological training, encompassing essential areas such as phonetics, phonology, morphology, syntax, semantics, pragmatics, historical linguistics, and sociolinguistics. The leading universities included in the sample demonstrate a variety of pedagogical approaches, ranging from highly theoretical frameworks to practically oriented models, frequently integrating diverse aspects of language study, including empirical data, corpus-based analysis, and multidisciplinary perspectives that draw on cognitive and social dimensions of language. The findings provide a solid basis for developing recommendations aimed at improving the training of philologists—particularly in Ukraine—with the goal of aligning withcontemporary global standards and challenges. The comparative format highlightsvariations incourse structures, curricular sequencing, and resource selection across institutions, emphasisingboth best practices and areas forenhancement. Notably, the integration of interactive learning modules, digital platforms, and student-centred activities emerged as an innovative trend among several top-rated programmes. The article concludes that maintaininga balance between rigorous theoretical instruction and experiential learning is vital forproducing well-rounded philologists capable of meetingevolving scholarly demands and fostering international academic collaboration.Keywords:Introduction to Linguistics, General Linguistics, training of philologists, interdisciplinary approach, leading universities

T. Dobrosklonskaya, V. Robustova

In 2025 the scientific community, colleagues and students celebrate the jubilee of Professor Galina Georgievna Molchanova, Honored Worker of Higher Education of the Russian Federation, winner of the Lomonosov Prize for Pedagogical Activity, Doctor of Philology, Honorary Professor of Lomonosov Moscow State University, Honorary Worker of Professional Higher Education of the Russian Federation, Dean and Head of the Department of Linguistics, Translation and Intercultural Communication of the Faculty of Foreign Languages and Area Studies at Lomonosov Moscow State University. In 2018 Galina Georgievna Molchanova was awarded the gratitude of the President of the Russian Federation for her scientific and academic achievements. In 2024, she was awarded a high state award — the Order of Friendship for achievements in scientific and pedagogical activities, training of highly qualified specialists and achievements in the field of humanities.

Gunilla Gren-Eklund

This article is based on a lecture on metrics in literature given at an internal workshop at the Department of Linguistics and Philology at Uppsala University in 2004, with contributions on the topic in classical and oriental languages. It can be read as an introduction to Indian poetics with its focus on presenting metric patterns in Indian poetry with regard to the linguistic issue of prosody as the primary basis for potential comparative studies.

E. Barkhudarova, O. Dementeva

The Lomonosov Moscow State University hosted a scholarly and methodological seminar “Linguodidactic Description of the Russian Language in the ‘Mirror’ of Foreign Language Systems”, dedicated to the 95th anniversary of the birth of Professor M.V. Vsevolodova and her academic heritage. The seminar was organized by the Faculty of Philology, the Department of Didactic Linguistics and Theory of Teaching Russian as a Foreign Language in conjunction with the Department of General and Comparative Historical Linguistics. Three sections worked at the seminar and thirty reports were made. The topics of the reports embodied diverse theoretical and practical scientific problems reflecting the breadth of research areas and the diverse academic interests of M.V. Vsevolodova. In total, more than seventy people took part in the seminar.

V.G. Kulpina

The peer-reviewed book offers the analysis of the selected scientific articles from different years by the leading specialist in general linguistics, history of linguistics, linguistic typology and Japanese studies, Doctor in Philology, the Member of the Russian Academy of Sciences V. M. Alpatov. Attention is paid to the Japanese studies’ direction; it consists of articles that illuminate the traditional and basic problems of Japanese studies. These include Japanese grammatical categories, such as the category of case, the category of number, the category of aspect, part-of-speech tagging, which has very specific characteristics in the Japanese language, the variants of the Japanese language, linguistic communication, gender-based speech differences, dictionary bases.

Jiexuan Liu

This study explores the influencing mechanisms of time-space-interest (TSI) factors on readers’ reading behaviors in the field of language and literature, with a specific focus on the mediating role of interest category scope and the moderating effect of interactions among these factors. Data were derived from nine-year (2016–2024) borrowing records of H-category books (language and philology) from the Library of Nanjing Normal University, encompassing a sample of 15,312 unique readers, 27,151 distinct books, and 129,643 valid borrowing transactions. Principal component analysis (PCA) was utilized to extract two key factors: TSI and Spatial Interest (SI) factor. SPSS PROCESS Model 4 was then employed to test the mediating effect of interest category scope. The results indicate that interest category scope exerts a partial mediating effect on the relationship between the TSI factor and total borrowing volume—with the indirect effect accounting for approximately 10.5% of the total effect, which was validated through bootstrap analysis. Notable differences in reading preferences were observed across reader groups: undergraduate students prioritize practical foreign language learning (corresponding to H3 category), graduate students emphasize theoretical linguistics (H0 category) and advanced Chinese studies (H1 category), while staff members demonstrate scattered interests in applied and interdisciplinary areas. Subject word clustering analysis identified eight core academic categories (e.g., language teaching, literary studies, historical linguistics), shedding light on the thematic focuses and interdisciplinary connections within language and literature research. This study contributes to a deeper understanding of how time, space, and interest interact to shape reading behaviors. It also provides actionable insights for library resource management, the optimization of reader services, and the design of academic research in the domains of language and literature.

K. Tuilebayeva, Zh. A. Zhakupov

This research paper explores one of the fundamental principles of synergetics — the concept of bifurcation, its essence, and functional role. The main objective of the study is to reveal the nature of bifurcation as a key factor in the formation of synergetic phenomena. The tasks of the research are planned to be achieved by identifying the general essence of the bifurcation phenomenon in synergetics, describing its manifestation in linguistics, and analyzing its function through linguistic evidence. Although the synergetic paradigm (including linguistic synergetics) has become a global trend in various areas of general education, the conceptual foundations of synergetic phenomena have not yet been thoroughly examined. Therefore, this article represents one of the first attempts to define and interpret the term "bifurcation" in linguistics, including its application to the Kazakh language through specific examples and linguistic data. Theoretical findings contribute to a deeper understanding of the dynamic nature of language systems, including the Kazakh language. The practical relevance of the study lies in enhancing communication between speakers and improving their linguistic competence. The results may be useful for philology students during lectures, seminars, and practical sessions.

O. Kalinin, A. Ignatenko

The article explores the relationship between the functional potential of metaphor and the expression and perception of the author’s opinion. Metaphor is considered as a means of implicit speech impact exerted both from the positions of its generation and perception. This paper aims to identify the correlation between the author’s opinion and various aspects of metaphor power, namely density (the number of metaphors per text), intensity (the ratio of new and conventional metaphors) and the metaphor projections typology (the ratio among orientational, ontological, and structural metaphors). The data for the study were obtained from a two-stage linguistic experiment. First, 20 experts in Russian Philology and Journalism composed three-part texts about Russia (its history, culture, and people), and were asked to summarise their personal opinion in the most relevant part. Then 180 respondents who were students of Moscow State Linguistics University identified the author’s position in the composed essays. The latter were analysed using metaphor-driven discourse analysis (MDDA), which included the identification of metaphor density, their intensity, and functional typology indices. Next, the MDDA numerical values of indices were juxtaposed with the data reflecting the author’s opinion expression and its perception by the respondents. The findings showed that metaphor intensity and density are related to the verbal message persuasion, since in 80% of the cases personal opinion was set forth in those text parts that contained the greatest number of the author’s metaphors. The proven relationship between metaphor power and the author’s opinion expression makes it possible to identify metaphorical speech impact, which reflects forms and degrees of speech impact in different types of texts. Thus, the results expand the theoretical and practical framework for the study of metaphorical speech persuasion.

Iryna Strashko, I. Melnyk, Valentyna Kozak et al.

Artificial intelligence is beginning to spread to all fields of science, and philology, linguistics and literature are no exception. This intersection of technology and the humanities opens a new era of linguistic and literary analysis. The relevance lies in the fact that artificial intelligence offers innovative ways of understanding and interpreting texts. Linguistic analysis of texts is an important part of philological research, as it helps to uncover the meaning, style, and other elements of language use in texts. This study aims to explore the innovative technology of Salesforce Einstein Artificial Intelligence, which can be used for linguistic text analysis in philological research. Research methods include literature review, correlation analysis, social analysis, impact analysis, syntactic analysis, and factor analysis. The results of the work showed that the system deeply learns the language and learns to recognize and analyze various language features and emotions. The paper examines the technical and ethical aspects of Salesforce Einstein AI. A cross-sectional study allowed us to describe the technological capabilities of the system and to debate the problem of replacing the author with artificial intelligence from an ethical perspective. The authors conclude that linguistic text processing in philology has revolutionized the way authors interact with technology and has become a valuable tool in text analysis. Salesforce Einstein AI has opened up a whole new world of opportunities for the field of philology.

Tuğçe Elif Taşdan Doğan, Merve Ergüney

This study analyzes the original version, Turkish and French dubbings of the movie Mona Lisa Smile, through the Feminist Critical Discourse Analysis (FCDA) method. The study aims to reveal the potential of the Turkish and French dubs of the movie to reproduce gender stereotypes towards women. The movie was chosen through purposive sampling, one of the non-random sampling methods. The observation-notetaking technique was used as the data collection method.10 examples were determined. These discourses were analysed through the FCDA method by comparing the original version with its French and Turkish dubs on the Netflix platform. Gender-based discourses were seen to be preserved in all examples in the French language. In Turkish dubbing, serious losses occurred in all examples from the perspective of gender roles. This study is the first research evaluating the French and Turkish dubbings of an audiovisual product through FCDA; therefore, it presents authentic data for future studies.

Mohamed Elgaar, Hadi Amiri

Controlled paraphrase generation produces paraphrases that preserve meaning while allowing precise control over linguistic attributes of the output. We introduce LingConv, an encoder-decoder framework that enables fine-grained control over 40 linguistic attributes in English. To improve reliability, we introduce a novel inference-time quality control mechanism that iteratively refines attribute embeddings to generate paraphrases that closely match target attributes without sacrificing semantic fidelity. LingConv reduces attribute error by up to 34% over existing models, with the quality control mechanism contributing an additional 14% improvement.