Language Corpora Research Articles

Evolución semántica y lexicalización del somatismo español cerrar los ojos

The aim of this paper is to demonstrate the feasibility of applying the Invited Inferencing Theory of Se- mantic Change in order to establish the semantic evolution of idioms with literal correlates, in particular somatisms or kinegrams. The methodology is applied to analyze the testimonies (until 1700) of Spanish somatism cerrar los ojos in a diachronic corpus of Spanish language (CORDE), so as to find out what inferences generated contextual meanings that conditioned its lexicalization as idiom, semanticizing symbolic meanings related to death, sleep, knowledge, irrationality, submission or trust.

Transformer-Based Composite Language Models for Text Evaluation and Classification

Parallel natural language processing systems were previously successfully tested on the tasks of part-of-speech tagging and authorship attribution through mini-language modeling, for which they achieved significantly better results than independent methods in the cases of seven European languages. The aim of this paper is to present the advantages of using composite language models in the processing and evaluation of texts written in arbitrary highly inflective and morphology-rich natural language, particularly Serbian. A perplexity-based dataset, the main asset for the methodology assessment, was created using a series of generative pre-trained transformers trained on different representations of the Serbian language corpus and a set of sentences classified into three groups (expert translations, corrupted translations, and machine translations). The paper describes a comparative analysis of calculated perplexities in order to measure the classification capability of different models on two binary classification tasks. In the course of the experiment, we tested three standalone language models (baseline) and two composite language models (which are based on perplexities outputted by all three standalone models). The presented results single out a complex stacked classifier using a multitude of features extracted from perplexity vectors as the optimal architecture of composite language models for both tasks.

Corpus of Mandarin Child Language: a preliminary study on the acquisition of semantic content categories in Mandarin-speaking preschoolers.

In studying language acquisition in children, sizable research studies have been focusing on the investigation of form and lexical semantics. This study aims to establish a child language database annotated both syntactically with part of speech and semantically with semantic content category to supplement the study of child language acquisition in the semantic domain beyond lexical level. The Corpus of Mandarin Child Language (CMCL) that documented the production of different semantic content categories by Mandarin-speaking children was established. Naturalistic language samples of 82 native Mandarin-speaking children aged 25-60 months, divided into three age groups, were obtained. The corresponding semantic content categories coded in each utterance were tagged according to previous studies, in addition to the annotations of part of speech. MLU and lexical diversity were examined and the usage and acquisition of different semantic content categories were also analyzed. The results regarding syntactic complexity and lexical diversity replicated the typical language acquisition pattern from previous studies, which supported the validity of the data obtained in the CMCL. To investigate the trajectory of acquisition of various semantic content categories by age, a 90% acquisition criterion was used. Our findings regarding the acquisition order of semantic content category were basically in line with previous studies in general, with some minor differences. This acquisition order observed is largely explained by the cognitive and syntactic complexity associated with the semantic content category, with additional influence from language specific properties and cultural specific factors of Mandarin. In addition, with the tags in both part-of-speech and semantic content category, the CMCL potentially provides a platform for examining the form-content interface in early child language acquisition, which also implies significantly on the theoretical and clinical ground.

Precedence in Modern Spanish Journalism

The relevance of this article is due to the need to track the dynamics of the nature of the use of precedent units as an indicator of the level of linguistic competence in modern Spanish journalism. The purpose of the study is to identify the factors influencing the use of precedent units and trends in the dynamics of their content in modern Spanish journalism. The object of the study is precedent units, and the subject is their linguistic implementation in the modern Spanish press. The objectives of the study include the analysis of the representation of precedent units in modern media texts based on the study of stylistic characteristics, the definition of their content and the nature of their functioning in journalism. Any, even very minimal, shift in the value paradigm leads to a change in the content of the precedent unit, connections with its original content are lost and a complete deactualization of meaning may even occur. In the course of the study, methods of observation, definitional, quantitative, contextual, component and discourse analysis were used. The study was carried out based on Diccionario de dichos y frases hechas / "Dictionary of sayings and stable expressions" by Alberto Buitrago, the Corpus of the Spanish language of the XXI century (CORPES XXI) was used to track the frequency of use of precedent units. The article defines the tendency to change the content of precedent units in Spanish journalism. When updating the cultural content presented in the set of precedent units of Spanish linguoculture, the authors mainly use them as elements of headings that attract the reader's attention, while in the text of the article they often explain the meaning of this unit, which indicates the possible deactualization of this expression in the future.

How People With a Bipolar Disorder Diagnosis Talk About Personal Recovery in Peer Online Support Forums: Corpus Framework Analysis Using the POETIC Framework.

Personal recovery is of particular value in bipolar disorder, where symptoms often persist despite treatment. We previously defined the POETIC (Purpose and Meaning, Optimism and Hope, Empowerment, Tensions, Identity, Connectedness) framework for personal recovery in bipolar disorder. So far, personal recovery has only been studied in researcher-constructed environments (eg, interviews and focus groups). Support forum posts can serve as a complementary naturalistic data resource to understand the lived experience of personal recovery. This study aimed to answer the question "What can online support forum posts reveal about the experience of personal recovery in bipolar disorder in relation to the POETIC framework?" By integrating natural language processing, corpus linguistics, and health research methods, this study analyzed public, bipolar disorder support forum posts relevant to the lived experience of personal recovery. By comparing 4462 personal recovery-relevant posts by 1982 users to 25,197 posts not relevant to personal recovery, we identified 130 significantly overused key lemmas. Key lemmas were coded according to the POETIC framework. Personal recovery-related discussions primarily focused on 3 domains: "Purpose and meaning" (particularly reproductive decisions and work), "Connectedness" (romantic relationships and social support), and "Empowerment" (self-management and personal responsibility). This study confirmed the validity of the POETIC framework to capture personal recovery experiences shared on the web and highlighted new aspects beyond previous studies using interviews and focus groups. This study is the first to analyze naturalistic data on personal recovery in bipolar disorder. By indicating the key areas that people focus on in personal recovery when posting freely and the language they use, this study provides helpful starting points for formal and informal carers to understand the concerns of people diagnosed with a bipolar disorder and to consider how to best offer support.

Analyzing the Albanian Translations of Ernest Hemingway’s "The Old Man and the Sea" Ismail Kadare and Vedat Kokona: A Comparative Study

Translation, or more precisely translation studies, constitutes a very important topic nowadays and on which different theories continue to be thrown depending on the way of treatment and the importance given to the special aspects related to the translation process. Despite ongoing discussions, importance is attached to the fact that the translation should create an effect on the readers of the translated text as close as possible to that of the readers of the source text. This study aims to provide a detailed analysis based on the two versions translated into Albanian of the work The Old Man and the Sea by Hemingway, namely by Ismail Kadare in 1963 and by Vedat Kokona in 1997. The methodology of this study analyzes the features and characteristics of the aspects especially the two translated versions of the original work, emphasizing the similarities as well as the changes that the translation methodology has undergone over the years. By comparing the two different periods, this study brings to light the possible transformations that take place in the translation process, as well as in this way determine the course that the translation took until a few years ago. This study allows us to observe if those features continue to be part of the translation process even today. This research consists of two linguistic corpora, one in English and one in Albanian, which makes possible the realization of this work. Due to the nature of this work, the corpus in English is the work in the original language "The Old Man and the Sea" by Ernest Hemingway, as well as the Albanian language corpus, which constitutes the two versions of the translation of the work in the original language as well as scientific literature rich and contemporary in the service of elaborating this paper.
 
 Received: 11 September 2023 / Accepted: 20 October 2023 / Published: 5 November 2023

Par dažu bezpriedēkļa un priedēkļa verbu lietojumu ar adverbiem un prievārdu pār

In Latvian language, prefix and prefix-free verb constructions with prepositions and adverbs are used in parallel, where the prefix, adverb and preposition are close in terms of the meaning. The aim of the research is to study the connection of prefix-free and prefix verbs with prepositions and adverbs, to study the use of these constructions, reciprocal attitudes and semantics. The novelty of the research is indicated by the fact that extensive systematic studies have not been conducted on the connection between prefixed and prefix-free verb and preposition and/or adverb, their semantics, as well as the possible motivation for doubling the preposition and adverb. The article examines constructions with prepositions uz, no, caur, pār, expressing spatial direction attitudes and which, in modern Latvian, have prefixes corresponding in the meaning – uz-, no-, pār-, as well as adverbs: virsū, ārā, cauri, pāri, nost. The source of the examples analysed in the study is written language on the Internet – chatting, i.e. microblogging site „Twitter”, news publications, comments on the Internet, „Web Corpus of Latvian Language” (Tīmeklis2020) and other sources where coverage of spoken language is available. It has been observed that in cases when a prefix, adverb and preposition of close meaning are used in the same sentence, it is easier to visualize what is being said as if it is being „drawn” before the eyes, and such structures make the text more imaginative. The meaning of a verb plays an important role in what adverb or preposition it binds to itself. In the research, a tendency was observed that most of the time, in constructions of prefixed verb and prefix-free verb, preposition and adverb with verbs of motion of close meaning and of literal sense, are used.

Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely.

Word co-occurrence patterns in language corpora contain a surprising amount of conceptual knowledge. Large language models (LLMs), trained to predict words in context, leverage these patterns to achieve impressive performance on diverse semantic tasks requiring world knowledge. An important but understudied question about LLMs' semantic abilities is whether they acquire generalized knowledge of common events. Here, we test whether five pretrained LLMs (from 2018's BERT to 2023's MPT) assign a higher likelihood to plausible descriptions of agent-patient interactions than to minimally different implausible versions of the same event. Using three curated sets of minimal sentence pairs (total n = 1215), we found that pretrained LLMs possess substantial event knowledge, outperforming other distributional language models. In particular, they almost always assign a higher likelihood to possible versus impossible events (The teacher bought the laptop vs. The laptop bought the teacher). However, LLMs show less consistent preferences for likely versus unlikely events (The nanny tutored the boy vs. The boy tutored the nanny). In follow-up analyses, we show that (i) LLM scores are driven by both plausibility and surface-level sentence features, (ii) LLM scores generalize well across syntactic variants (active vs. passive constructions) but less well across semantic variants (synonymous sentences), (iii) some LLM errors mirror human judgment ambiguity, and (iv) sentence plausibility serves as an organizing dimension in internal LLM representations. Overall, our results show that important aspects of event knowledge naturally emerge from distributional linguistic patterns, but also highlight a gap between representations of possible/impossible and likely/unlikely events.

Stem overgeneralizations in the acquisition of Croatian verbal morphology: Evidence from parental questionnaires

Studies on verbal overgeneralization often focus on languages with low morphological complexity. The Croatian conjugational system exhibits varying degrees of complexity, and this complexity is not primarily based on the number of inflectional morphemes, but on an elaborate system of stem changes. During early language development, children face the difficult task of acquiring this system, using overgeneralized forms to overcome its complexity. To date, studies have used a corpus-based method to retrieve overgeneralizations in child language, which has had limited success in capturing this phenomenon. The aim of this study was to investigate the production of overgeneralized verb forms in Croatian monolingual children aged 2;6 to 5;11 using a questionnaire in which parents report overgeneralizations used by their children. We tested the relationship between the production of overgeneralized forms and features of the input language (token frequency and class size). We hypothesized that the rate of overgeneralizations will depend on input language features, i.e. a higher rate of overgeneralizations for infrequent verbs and for verbs with smaller class size. The items selected for the questionnaire are the verbs with stem change used by parents in the longitudinal Croatian corpus of child language. Parents report overgeneralized forms in all verb classes, and verb frequency and class size negatively correlate with the proportion of overgeneralizations. Our results show that children gradually abstract morphological systems in a way that is highly sensitive to the properties of the input.

Studying negative evidence in Finnish language corpora

This study explores the relationship between lower-than-expected frequencies of word forms and inherent gaps in Finnish inflectional paradigms. The research aims to determine whether it is possible to predict paradigmatic gaps from lower-than-expected frequencies of word forms. We examined Finnish nouns inflected in a marginal case (the instructive) and hypothesized that some of these nouns may potentially have gaps in their inflectional paradigms. However, we found that such gaps are contingent and do not cause uncertainty when filled. We find that the correlation between inherent gaps and lower frequencies is one-directional: predicting inherent gaps from lower-than-expected frequencies is problematic. The results suggest that any paradigmatic gap suggested by corpus frequency is more likely to be contingent than inherent, and that the less semantic need there is for a particular word form, the more likely it will be unattested even in a large corpus. The research highlights the importance of considering semantic profiles when analyzing the grammaticality of word forms and suggests that statistical tests like Fisher’s exact are not necessarily the right approach to tackle the problem of negative evidence in corpus studies.

Investigation on author’s concept in the Russian National Corpus

The data analysis of the Russian National Corpus (RNC) is being carried out by an increasing number of researchers, since the choice of lexical units and their description are now radically facilitated by corpus linguistics, which compiled all available texts in a particular database language based on a computer analysis and presented on the open Internet. The purpose of the study is to identify and describe the conceptual cognitive features and structural modeling of the CIVIC CONSCIOUSNESS concept in the works of Ye.A. Yevtushenko, i.e.: (1) based on the RNC data, to determine the place of the CIVIC CONSCIOUSNESS concept in the Russian social and artistic worldviews; (2) based on Yevtushenko’s works, to identify the features of the artistic CIVIC CONSCIOUSNESS concept in the individual author’s worldview; and (3) to characterize the interaction of the national and individual author’s worldviews in Yevtushenko’s works. To this end, the research involved general scientific methods of observation, description, and generalization as well as the method of conceptual analysis. The analysis of the RNC material shows that the structure of the CIVIC CONSCIOUSNESS concept is represented by five classes of features: (1) etymological and denotative motivating signs of the word representative of the concept; (2) conceptual attributes objectified as semantic word components; (3) figurative features; (4) categorical features; and (5) values (examples were taken from the main corpus of the Russian language as well as from the newspaper and poetic corpora). The analysis of the CIVIC CONSCIOUSNESS concept in Yevtushenko’s works suggests the anthropocentricity of its figurative component. Its content is revealed in terms of the Russian national worldview and, at the same time, the individual author’s worldview of Ye.A. Yevtushenko. As the analysis of ways of conceptualizing the CIVIC CONSCIOUSNESS concept has shown, the most actual characteristics in Yevtushenko’s worldview are conceptual figurative features, including: anthropomorphic, animate and inanimate ones. In addition, categorical (dimensional, qualitative, etc.) and value attributes of the CIVIC CONSCIOUSNESS concept were identified. The analysis of Yevtushenko’s literary texts made it possible to identify some occasional signs of the CIVIC CONSCIOUSNESS concept, in particular, a figurative sign of inanimate nature and a temporal attribute related to categorical features.

METHODS OF TRANSFERRING FULL WORD-FORMATION AFFIXES IN THE NATIONAL CORPUS OF THE KAZAKH LANGUAGE

This scientific article studies methods of transferring full word-formation affixes in the National Corpus of the Kazakh language. Affixes play an essential role in the forming of word formation and semantics of a language, and the study of their transmission is crucial for linguistic theory and practice. The purpose of the study is to analyze and systematize approaches to word-forming affixes in the corpus of the Kazakh language.The main areas of research include the analysis of the morphological features of affix transfer, as well as the identification of contexts in which various transmission options for transfer are possible.A short description of the scientific and practical significance of the work: the study allows us to better understand the proc esses of word formation in the Kazakh language and develop effective methods for automatic processing of texts in this language. It is also of practical importance for the creation of linguistic resources and the development of language applications. Brief description of the research methodology: the research methodology includes the analysis of textual material from the national corpus of the Kazakh language, as well as the use of linguistic tools and data analysis to determine the features of the transmission of affixes. The main results and analysis of the research work, conclusions: the study revealed various ways of transmitting wordforming affixes, including morphological constructions, in the corpus of the Kazakh language. The analysis made it possible to identify the features and frequency of these methods. Value of the conducted research: this study contributes to the linguistic theory, and enriches our knowledge about the mechanisms of word formation and ways of transmitting linguistic elements in the language corpus. In addition, the results obtained can be useful for the development of language technologies and resources for the Kazakh language. Practical significance of the results: the study can be used in the creation of automatic systems of text processing systems in the Kazakh language, and the development of language applications, such as in linguistic training and translation. The obtained results and conclusions can become the basis for further research in the field of linguistics and computational linguistics.

Mountain Gazelle Optimizer with Deep Learning Driven Satirical News Classification on Low-resource Language Corpus

The development of satirical and fake news on digital platforms has source of major concern about the spread of misinformation and its control on society. As part of the Arabic language, fake news detection (FND) shows particular problems because of language difficulties and the scarcity of labeled data. FND on Arabic corpus utilizing deep learning (DL) contains leveraging advanced neural network (NN) techniques and methods to automatically recognize and classify deceptive data in the Arabic language text. This procedure is vital in combating the spread of disinformation and misinformation, promoting media literacy, and make sure the credibility of data sources for the Arabic-speaking community. Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) are common selections for FND because of their capability for learning hierarchical features and model sequential data from the text. In this view, this study develops a Mountain Gazelle Optimizer with Deep Learning-Driven Fake News Classification on Arabic Corpus (MGODL-FNCAC) technique. The presented MGODL-FNCAC approach aims to increase the performance of the fake news classification on the Arabic corpus. Primarily, the MGODL-FNCAC technique involves different stages of pre-processing to make the input data compatible for classification. For fake news detection, the MGODL-FNCAC technique applies the deep belief network (DBN) model. At last, the MGO approach can be used for the better hyperparameter tuning of the DBN approach, which supports in enhancing the overall training process and detection rate. The simulation outcomes of the MGODL-FNCAC technique can be examined on Arabic corpus data. The extensive outcomes exhibit the importance of the MGODL-FNCAC system over other methodologies with maximum accuracy of 97.68% and 95.14% on Covid19Fakes and Satirical dataset, respectively.

Contextual Modulation of Adult–Child Language Interaction: Semantic Network Connectivity and Children’s Vocabulary Development

Word learning encompasses the understanding of interconnected clusters of words, where the comprehension of one word aids in the learning of another. Semantic networks, which have a long history in cognitive science, are commonly employed to explore these semantic relationships. However, limited research has been conducted on adults’ use of semantically relevant conversations in the field of early childhood education, and there is insufficient information regarding contextual factors influencing the development of semantic networks. The present study investigated the extent to which the use and effectiveness of semantically relevant conversations vary across activity contexts. This study analyzed data from the Home-School Study of Language and Literacy Development (HSLLD) Corpus available in the CHILDES database, focusing on a subset of 62 children. This study utilized four statistical features to describe the structure of semantic networks: short path length, diameter, density, and clustering coefficient. The following findings emerged: (1) Book reading displayed a significantly greater diameter than toy play and mealtime, indicating that there exist specific pairs of concepts or words within its semantic networks that are notably more distant from each other than in the other two activity settings. (2) Toy play exhibited a significantly greater density in comparison to book reading and mealtime, suggesting a higher degree of overlap or interdependence among the concepts within its semantic networks. (3) Book reading demonstrated a significantly greater clustering coefficient compared to toy play and mealtime, signifying the existence of cohesive word communities or groups of words characterized by dense internal connections. (4) Adults’ use of semantically relevant conversations during book reading was positively associated with children’s lexical diversity.

Analysis of English Translation of Corpus Based on Blockchain

Blockchain technology can create a shared platform for English translation and reserve a large number of practical corpus resources, thus improving the quality of machine translation. This paper first introduces the research status of foreign language corpus and blockchain English translation in China. Then it introduces the basic principles of BPNN and particle swarm optimization and constructs the PSO-BP model. Experiments show that the prediction accuracy of BPNN optimized by particle swarm optimization algorithm is greatly improved, the convergence speed is faster, and it will not fall into the local optimal trap. Finally, this paper proposes the implementation path of blockchain in corpus translation application: (1) build “blockchain+ AI” English translation corpus and (2) improve the machine English translation software of the “blockchain+ AI” English translation training platform.

ON THE NATIONAL-CULTURAL SEMANTICS OF THE VALUE ‘YOU SHAN’ (৻ழ) IN CHINESE

The article examines the national-cultural semantics of ‘You Shan’ (৻ழ) in Chinese from the perspective of linguoculturology reflected in etymology, dictionary and periodicals. Authoritative Chinese dictionaries and the main corpora of the Chinese language (the Chinese language corpus of the State Commission on Language and Writing, the BCC corpus, the National press index database) served as the research material. The analysis made it possible to conclude that ‘You Shan’ is a traditional virtue and one of the main socialist values in China. It has rich semantics including such elements as friendship, mutual assistance, auspiciousness, sincerity, etc. The semantic realm of ‘You Shan’ is continuously expanding, from the most elementary relations between people to relations between nations and countries. The subject of ‘You Shan’ can be people and animals, and the applicable objects can be animals, the environment, and even things. ‘You Shan’ plays a positive role in the formation of national or personal image, and promotes close interpersonal relationships and social harmony. However, according to the principle of the ‘golden mean’ in ancient Chinese philosophy, to be too friendly is not advocated. Sometimes, ‘You Shan’ is regarded as a disguise for dominance and personal goals, which is negatively evaluated since sincerity is included in its original meaning.

Extraction of target structures in learners' corpora

Foreign language (FL) or second language (L2) corpora are sets of productions by non-native speakers, learners of a given language, which contemplate the errors and well-formed structures produced. These serve different research objectives, such as studies on language acquisition (LE and L2), phenomena of linguistic interference or analysis and diagnosis of LE/L2 proficiency levels. In the context of this research, the definition of the learner's proficiency level is often relevant, and this is done, typically, through the analysis of the presence or absence of errors in the learners' productions, based on mappings of typical or expected errors and well-formed structures for a given level of proficiency. However, contrary to the learner's error – which is explicitly marked in the corpus and whose typology and methodology of analysis constitutes a subtopic of investigation on its own –, the well-formed structures, and in particular the target structures (well-formed structures expected in the learners' productions of a given level of proficiency), are not easily identifiable in the corpora. The work presented here aims to fill this gap in COPLE2 – Corpus of Portuguese Foreign/Second Language through the use of expressions in CQL – Corpus Query Language. Based on pre-identified target structures and on the information made available in COPLE2, such as morphosyntactic tagging and different levels of information and annotation (learner production, teacher correction, normalized form, lemma, etc.), we propose query expressions in CQL that easily allow any user to immediately extract examples of target structures by proficiency level. The construction of the query expressions implies the definition and testing of the best strategies for each case and requires the systematization of linguistic rules and patterns of occurrence of the phenomena in question, but also the definition of ways to circumvent the limitations inherent to the corpus annotation, on the one hand, and the query language, on the other.

Semantics of the word tutor in modern Russian

In the late 20th – the early 21st century, new names of professions that can be called the key words of the epoch entered the terminological vocabulary of the sphere of education. One of these lexemes is the borrowed word tutor, which is currently characterised by a high frequency of use in connection with the active introduction of the tutor profession into the educational system of Russia. This article examines the features of the semantics of the word tutor based on lexicographic sources, the National Corpus of the Russian language, texts of scientific articles on pedagogic topics. During the study, it was found that in modern Russian the lexeme tutor is used to name a wide range of people in the Russian educational system. At the same time, there is no description of the above-mentioned word in lexicographic sources with the definition of its meaning at different stages and forms of the educational system, in connection with which there is a vague understanding of its content. The paper defines the meanings of this name of a person, taking into account the peculiarities of its functioning in different speech spheres. The conclusion is made about the transformation of the semantics of the word tutor, which is associated with the introduction, and later with the expansion of tutor activity in the system of education and upbringing in Russia. As a result of the analysis of examples of the combination of the noun tutor, the spheres of its functioning are determined.

The Role of Metaphors in Code-switching: A Qualitative Analysis of Italian-Arabic Bilingual Speakers

The use of figurative language is a pervasive aspect of daily communication across languages and cultures. This study investigates the use of metaphors by bilingual speakers who alternate between two languages on a daily basis and the potential role of these expressions in bilingual utterances. Specifically, we examine the spoken language of Italian-Arabic bilinguals and explore how metaphorical expressions in a bilingual context interact with code-switching, a prevalent linguistic phenomenon in bilingual contexts. Qualitative methods were employed, including interviews with Arabic-Italian bilinguals and a corpus of colloquial language. Our analysis focuses on identifying and analysing code-switching involving metaphorical expressions from both the perspectives of code-switching and metaphor. Our results reveal a higher frequency of intra-sentential forms of code-switching when metaphors are expressed. The majority of metaphors are expressed in Arabic, despite the prevalence of Italian in the statements. These findings aim at shedding light on the complex interplay between figurative language and bilingualism and contribute to our understanding of cross-linguistic communication.

Cultivating a New Ecosystem in English Language Teaching: A Focus on Researchers in a Textbook Development Project

This study explores the evolving landscape of English language teaching and the critical role researchers can play in textbook development. Traditional methods, often rigid and outdated, are increasingly giving way to dynamic, learner-centered approaches, influenced by advancements in pedagogy and sociocultural shifts. Despite these changes, textbooks, a cornerstone in language education, often remain static and unresponsive to current educational needs. This disconnect between research and practice not only questions the textbooks' relevance but also affects their effectiveness. By integrating researchers into the textbook development process, this study argues for a more empirically-grounded, dynamic, and responsive pedagogical framework. Researchers can offer cutting-edge insights in areas such as second language acquisition, corpus linguistics, and educational psychology, thus enhancing the quality and efficacy of textbooks. The study posits that the inclusion of researchers can help bridge the existing gap between theory and practice, thereby creating a more enriching and effective educational ecosystem for English language teaching.