International Journal Of Literature And Languages

Optimizing English Pronunciation Instruction for Hanzhonghua Speakers: A Transfer-Based Model for Reducing Cross-Linguistic Phonological Interference

Faisal Abdullah Al-Harbi — Tue, 01 Sep 2026 00:00:00 +0000

English pronunciation difficulties among speakers of Hanzhonghua can be understood partly through the interaction between first-language phonological patterns and the target English sound system. This research develops a transfer-based instructional model designed to identify, prioritize, and reduce cross-linguistic phonological interference affecting English pronunciation among Hanzhonghua-speaking learners. The study adopts a qualitative, theory-driven research and review design based exclusively on the provided literature. Its theoretical foundation integrates language-transfer theory, pronunciation pedagogy, intelligibility and comprehensibility perspectives, second-language research methodology, learner autonomy, and approaches to intonation and discourse. The proposed model consists of five interconnected stages: phonological contrast identification, interference diagnosis, targeted perceptual training, controlled production, and communicative transfer with learner self-monitoring. Particular attention is given to the distinction between pronunciation accuracy and communicative effectiveness, since pronunciation instruction should ultimately support intelligibility and comprehensibility rather than merely approximate native-speaker norms. The analysis indicates that a Hanzhonghua-focused instructional framework should move beyond generalized pronunciation correction and instead establish explicit links between likely first-language influence, perceptual discrimination, articulatory practice, prosodic organization, and communicative performance. The model provides a structured pedagogical architecture that can be adapted to English-major classrooms in Shaanxi Province while recognizing the limitations of generalizing from dialect-level tendencies to individual learners. The study contributes a systematic framework for integrating transfer analysis with contemporary pronunciation instruction and learner-centered practice.

Describing the Dialectal Linguistic Personality in Dialectological and Dialectographic Research

Sherzod Normuminov Tuychievich — Tue, 22 Sep 2026 00:00:00 +0000

The article examines the issue of developing dialectological and dialectographic research within an anthropocentric paradigm through the concept of the dialectal linguistic personality. Whereas traditional dialectology has focused on describing the phonetic, lexical and grammatical features of dialects, this study argues for the necessity of analysing dialectal units in an inseparable connection with the individual who actualises them. The aim of the study is to develop the methodological foundations for describing the dialectal linguistic personality as an independent object of dialectological and dialectographic research. The study utilised descriptive, comparative-analytical, anthropocentric, sociolinguistic, and linguopersonological approaches. As a result of the analysis, a methodological model for describing the dialectal linguistic personality was proposed, based on the language, personality, and commonality. This model allows for the explanation of the linguistic characteristics of dialectal units in relation to the speaker’s sociodemographic profile, communicative activity, and territorial-cultural experience.

Methodological Problems and Structural Solutions in Preparing Digitalized Texts for Scientific Analysis

Alikulova Mohinur O‘ktam kizi — Thu, 10 Sep 2026 00:00:00 +0000

This article analyzes the philological, methodological, and algorithmic limitations of digital resources and text corpora in the Uzbek language. The study reveals how the exact character-based matching principles used in national information retrieval systems, the lack of “fuzzy matching” models, and the absence of robust morphological analyzers lead to a significant “silent loss” of scientific data. Furthermore, the paper provides a scientific justification for the necessity of implementing linguistic annotation based on international TEI P5 and LAF standards, as well as the urgent need to develop a customized national TEI schema for the Uzbek language.

Language, Society, And Identity: Exploring The Role Of Language In Social Interaction

Sheher Bano , Aziz Ur Rehman , Razi Fatima, Tayyabah Saleem — Thu, 03 Sep 2026 00:00:00 +0000

Language is never merely a neutral instrument for transmitting information. Every act of speaking simultaneously conveys propositional content and positions the speaker within a web of social relations, signalling regional origin, class, ethnicity, gender, generation, and stance toward the interlocutor. This article synthesises the interdisciplinary scholarship on how language constitutes, reproduces, and occasionally transforms social life. It traces the field’s theoretical foundations linguistic relativity, Bernstein’s codes, Labovian variationism, Goffman’s interaction order, Bourdieu’s linguistic marketplace, and the constructionist turn then examines how language indexes and enacts the principal dimensions of social identity: class, ethnicity and race, gender and sexuality, and age. It turns next to the micro-mechanics of interaction, to language ideology and symbolic power, to multilingual practices including diglossia, code-switching and translanguaging, and to identity work in digital environments. Drawing on current figures, it documents the consequences of global linguistic inequality: of roughly 7,100–7,200 living languages, some 42–43 per cent are endangered, while English alone accounts for nearly half of all web content. It closes with a review of methods, applied implications, and directions for research in an era of algorithmic mediation.

Transformation of Plot Structure in The Fairy-Tale Novella in Karakalpak Literature: Tradition and Modernism

Ayimbetova Shiyrin Jabbar qizi — Wed, 23 Sep 2026 00:00:00 +0000

This article examines the transformation of plot structure in the fairy-tale novella within Karakalpak literature, focusing on the interaction between traditional folklore patterns and modern literary principles. The study analyzes changes in narrative sequence, conflict, characterization, time, space, supernatural motifs, and endings. Particular attention is given to the transformation of traditional heroic plots into psychologically complex narratives. The analysis demonstrates that modern Karakalpak fairy-tale prose does not reject folklore traditions but creatively reinterprets them, combining cultural memory with new aesthetic, social, and philosophical meanings.

Communicative Functions of Metaphorical Expressions in English And Uzbek Political Discourse

Jumaniyozova Sohiba Shukhratovna — Sat, 19 Sep 2026 00:00:00 +0000

Political discourse relies on linguistic choices that make complex programmes, conflicts and future projections intelligible to broad audiences. Metaphor is especially important because it organizes political concepts, evaluates events and influences listeners’ emotional orientation. This article examines the communicative functions of metaphorical expressions in contemporary English and Uzbek political discourse from a comparative cognitive-pragmatic perspective. The study combines Conceptual Metaphor Theory, Critical Metaphor Analysis, discourse-oriented metaphor research and the principles of MIP/MIPVU. The empirical material is a purposive micro-corpus of official political speeches delivered in Uzbek and English between 2020 and 2024. The analysis shows that JOURNEY, BUILDING, STRUGGLE, BODY/HEALTH and movement-related schemas occur in both discourse traditions, but their communicative realization differs according to rhetorical purpose and institutional context. In the selected English texts, metaphor frequently diagnoses crisis, attributes responsibility and legitimizes difficult policy choices by representing government action as repair, rebuilding or a change of direction. In the Uzbek texts, journey and construction metaphors are particularly productive in representing reform as a collective, historically continuous process and in mobilizing solidarity around national development. The findings demonstrate that metaphor simultaneously simplifies abstract processes, frames evaluation, legitimizes decisions, constructs collective identity, activates emotion and projects desirable futures.

Using Large Language Models for Automated Corpus Annotation and Linguistic Analysis: A Critical Methodological Framework

Maria Ibrar — Fri, 04 Sep 2026 00:00:00 +0000

Large language models (LLMs) are increasingly used to classify, label, summarize, and interpret large text collections, creating new possibilities for corpus linguistics. Their capacity for zero-shot and few-shot instruction following could reduce the cost of linguistic annotation and extend analysis beyond the categories handled by conventional part-of-speech taggers, parsers, and dictionary-based tools. At the same time, LLM outputs are probabilistic, prompt-sensitive, model-dependent, and potentially biased, raising fundamental questions about measurement validity, annotation reliability, and reproducibility. This article critically synthesizes foundational corpus-annotation principles with recent evidence on LLM-based text annotation and develops a validated human–LLM workflow for corpus research. The framework distinguishes token-, span-, sentence-, document-, and discourse-level annotation; requires a human-coded gold sample before large-scale deployment; treats prompt design as part of the annotation manual; and evaluates accuracy, precision, recall, F1, inter-annotator agreement, stability across repeated runs, subgroup performance, and error types. Recent studies show that LLMs can approach or exceed crowd-worker performance on some well-specified classification tasks, but that performance varies substantially across datasets, languages, models, prompts, text lengths, and annotation complexity. Span-level annotation and context-dependent semantic or pragmatic coding remain particularly challenging. The article therefore argues against unvalidated full automation and proposes selective automation, disagreement-based human adjudication, model/version documentation, and preservation of raw outputs. For corpus linguistics, the strongest near-term use of LLMs is as flexible annotators within a transparent, theory-driven, and auditable pipeline rather than as replacements for linguistic expertise. The resulting framework supports scalable corpus annotation while preserving the empirical principles on which corpus-based linguistic inference depends.