Text Collections Research Articles

Finnic comparative constructions in an areal context

This paper discusses comparative constructions in the Finnic languages. The main focus is on the southern Finnic languages with separate attention paid to dialect variation. By including a maximally complete micro­areal dataset, the article reviews already identified patterns and their spread, while also introducing some (later) developments that have received less attention or gone unnoticed. The results are viewed in the context of neighbouring non­cognate contact languages (Latvian, Latgalian, and Russian); some parallels are also drawn with Lithuanian. As appears, due to being at the crossroads of Finnic and Baltic, it is in the southernmost Finnic languages where the genuine separative comparative construction meets various other patterns, including those borrowed from the Baltic languages. In general, the results enable us to shed more light on the outcomes of more ancient as well as more recent contact situations. The linguistic data originate from text collections, language corpora, example sentences in dictionaries and grammar books, and our own field work data.

التكوين العلمي لابن باديس وأثره التجديدي في مجال التعليم بالجزائر: (1913-1940 ) Educational Background of Ibn Badis and Its Regenerative Impالتكوين العلمي لابن باديس وأثره التجديدي في مجال التعليم بالجزائر: (1913-1940 ) Educational Background of Ibn Badis and Its Regenerative Impact on the Field of Education in Algeria: (1913-1940)act on the Field of Education in Algeria: (1913-1940)

The research seeks to discover the renewal brought by Ibn Badis to education in Algeria through the study of his personality, academic background, significant scientific achievements both within and outside Algeria, curriculum for education, and teaching methods that he discovered beneficial and efficient for learners. Furthermore, the research intends to shed light on how Ibn Badis overcame the obstacles and challenges caused by French colonization, which denied Algerian citizens access to all types of learning, especially Arabic and Islamic education. The study takes a historical approach by examining a sizable collection of texts and pictures that represent Ibn Badis’s vision for science and education. The research leads to the conclusion that Ibn Badis’s strong scientific foundation which he achieved under the guidance of specialized academics from numerous fields and countries, had a huge impact on improving his abilities and views of the world and increasing his sense of need to refresh and enhance the educational system of his country. Additionally, he set himself apart from his contemporaries and forebears by getting around France’s restrictions through the advantage of legal loopholes to prevent the use of violence, particularly during the planning and construction phases.

التكوين العلمي لابن باديس وأثره التجديدي في مجال التعليم بالجزائر: (1913-1940 ) Educational Background of Ibn Badis and Its Regenerative Impact on the Field of Education in Algeria: (1913-1940)

The research seeks to discover the renewal brought by Ibn Badis to education in Algeria through the study of his personality, academic background, significant scientific achievements both within and outside Algeria, curriculum for education, and teaching methods that he discovered beneficial and efficient for learners. Furthermore, the research intends to shed light on how Ibn Badis overcame the obstacles and challenges caused by French colonization, which denied Algerian citizens access to all types of learning, especially Arabic and Islamic education. The study takes a historical approach by examining a sizable collection of texts and pictures that represent Ibn Badis’s vision for science and education. The research leads to the conclusion that Ibn Badis’s strong scientific foundation which he achieved under the guidance of specialized academics from numerous fields and countries, had a huge impact on improving his abilities and views of the world and increasing his sense of need to refresh and enhance the educational system of his country. Additionally, he set himself apart from his contemporaries and forebears by getting around France’s restrictions through the advantage of legal loopholes to prevent the use of violence, particularly during the planning and construction phases.

„Ciało wiersza” – corpus (alter) ego poety – artefaktualizacja tekstu. Psyche lirycznej persony Eugeniusza Tkaczyszyna-Dyckiego

The article is an analysis of Ciało wiersza [The Body of the Poem], a poetic volume by Eugeniusz Tkaczyszyn-Dycki, in the light of psychoanalysis, somatopoetics and philosophy of the body. The author juxtaposes the category of the “body of the poem” with Jean-Luc Nancy’s Corpus. In this context he presents Ciało wiersza as a collection of texts describing the situation of a subject embodying the content of its psyche, transgressing and being on the verge of mental entropy or schizophrenia. Close to Freud’s cathartic method, Tkaczyszyn-Dycki treats the poem as a reservoir of psychogenic material and a projection instrument. The somatext, as embodied unconsciousness, analyzed through the prism of basic Freudian tools (defense mechanisms, regressive shifts), appears as a resultant of the dialectic of repression and the imperative of commemoration, which channels libidinal energy through imaginative displacements. Referring to the recurring leitmotifs of Tkaczyszyn-Dycki’s imagination in Ciało wiersza, the author traces how the poet reflects in the poetic text the workings of the psychic apparatus and the “multiple names” of schizophrenia.

Implementation of Dynamic Topic Modeling to Discover Topic Evolution on Customer Reviews

Annotation and analysis of online customer reviews were identified as significant problems in various domains, including business intelligence, marketing, and e-governance. In the last decade, various approaches based on topic modeling have been developed to solve this problem. The known solutions, however, often only work well on content with static topics. As a result, it is challenging to analyze customer reviews that include dynamic and constantly expanding collections of short and noisy texts. A method was proposed to handle such dynamic content. The proposed system applied a dynamic topic model using BERTopic to monitor topics and word evolution over time. It would help decide when the topic model needs to be retrained to capture emerging topics. Several experiments were conducted to test the practicality and effectiveness of the proposed framework. It demonstrated how a dynamic topic model could handle the emergence of new and over-time-correlated topics in customer review data. As a result, improved performance was achieved compared to the baseline static topic model, with 25% of new segmented texts discovered using the dynamic topic model. Experimental results have, therefore, convincingly demonstrated that the proposed framework can be used in practice to develop automatic review annotation tools.

"HISTORICISM" OF THE NEW EUROPEAN DRAMA (LESYA UKRAINKA – B. BRECHT – Y. KOSACH)

The article deals with the development of the historical theme in drama, the stage of the new drama traced on the examples of Lesya Ukrainka’s plays "Boyarynya", 1910, B. Brecht’s "Mother Courage and her children", 1939, Y. Kosach’s "Action about Yuriy the Victorious", 1947. The first collection of these different texts under one slogan ensures the scientific novelty of research. The purpose of the research: to trace the development of the historical theme in the modernist drama of the 20th venture and outline the problematic aspects of the concept of historicism of the new drama.
 The analysis of three dramas allows us to make a conclusion about the historicism of different aesthetics systems, romantic, realistic and modernist. A romantic story is, in fact, the metanarrative of national history, which is written with the aim of producing a national one identity, elevation of national culture. Realism focuses on displaying modernity, indifferent to historical topics, but gives authors of historical topics a lot of image means necessary for the effect of authenticity. Modernism in the displaying of historical events is miscellaneous. It is important to highlight the symbolist, expressionist and surrealist methods of mediating historical material. Most of Lesya Ukrainka’s dramas are historical or mythological subjects belonging to the genre of symbolist drama, in which the price of the choice is realized between private and public, which every person makes in any era. B. Brecht’s Epic / expressionist theater is a unique story that goes on and on. The playwright forces the viewer to look at the story consciously and critically, not emotionally, to see it through the eyes of a playwright who has already gone through his path of self-awareness. Surreal the picture of history is painted by Yuriy Kosach: his historical event is also distanced, but looks like a labyrinth in which a person wanders and blindly chooses between good and evil. It is always a story appropriated by the author.

The Intertextual Hub: a platform for intertextual studies of 18th-century France

This article presents a comprehensive overview of the Intertextual Hub, an innovative digital platform designed to facilitate intertextual studies of 18th-century French literature. The platform leverages sophisticated computational methods such as text mining, natural language processing, or machine learning to enable a comprehensive analysis of extensive textual data, a series of approaches known as ‘distant reading’. The Hub incorporates various digital resources, including a vast collection of 18th-century French literary works, laws, decrees and revolutionary pamphlets, all of which are intended to provide a nuanced understanding of the intellectual and cultural landscape of the era. One of the notable challenges the Hub addresses is the disparity in digitisation quality and the inherent differences among various text collections. These challenges include variations in text formats, inconsistencies in metadata, and the diverse nature of the source materials, which range from literary works to official documents. The Hub’s modular architecture, built on the PhiloLogic text analysis engine, accommodates these variances by providing a unified experience for each collection. Researchers are presented with different entry points to explore the multifaceted nature of intertextuality in the period. The platform’s close reading interface is a pivotal aspect, facilitating an immersive and interconnected research experience through guided text exploration. By combining close and distant reading perspectives, users can seamlessly navigate between individual and larger groups of texts through shared themes, concepts or references, thus bridging the gap between these two different modes of reading. In short, the Intertextual Hub aims to foster a deeply interconnected research experience that enhances the understanding of the 18th-century corpus and the intellectual exchanges that shaped the period.

Applied corpus linguistics and legal interpretation: A rapidly developing field of interdisciplinary scholarship

This article offers an overview of developments in a newly emerging interdisciplinary research field: legal corpus linguistics. The field brings together corpus research and legal theory by applying corpus-analytic techniques and linguistic concepts to facilitate the interpretation of legal texts. Despite the field's short history, it has already contributed important new insights into the meaning of statutory texts and parts of the U.S. Constitution, insights that may have significant practical implications for the American legal system. Our article provides an overview of relevant developments in legal corpus linguistics, from early success stories to recent and ongoing collaborative work between corpus linguists and legal scholars. It aims to highlight the benefits and illustrate the potential of this type of interdisciplinary work by summarizing three recent case studies, each of which deals with an important topic in American constitutional law. The case studies focus in turn on the following parts of the U.S. Constitution: (1) Article III and the meaning of “cases,” (2) the Appointments Provision in Article II, Section 2 and the meaning of “such inferior officers,” and (3) the Impeachment Provision in Article II, Section 4 and the meaning of “misdemeanors.” All three case studies use corpus analysis to explore phraseological patterns in large collections of Founding Era texts to provide insights into the meanings of the selected words and phrases in context during the time the Constitution was drafted and ratified. The article discusses the practical relevance of results from these case studies and potential implications of this and related work in legal corpus linguistics for contemporary and future litigation.

Corpus linguistics and generative AI tools in term extraction: a case of Kashubian – a low-resource language

Electronic corpora have been an indispensable resource in a variety of language studies, including linguistics, lexicography or terminology. Provided that they are compiled in a systematic manner, such text collections can provide high quality data that can be readily used in a specific study or can be directly applied to a specific practical project. However, the creation of a usable corpus depends on the availability and the quality of source texts and the tools that are used for its processing. Another factor that often plays a significant role in successful ad hoc applications of corpora is their immediate accessibility. Recent developments in generative artificial intelligence (GenAI) have rendered the idea of instantaneous access to language data a feasible possibility. This paper discusses the results of a study into the feasibility of applying modern corpus and GenAI tools in the extraction of biological terminology in Kashubian, a regional language spoken in the north-central part of Poland (Kashubia). The overarching goal was to identify modern and effective tools that could be used by terminologists, lexicographers, translators, and teachers of Kashubian.

A Comparative Analysis of Cultural Terms in Arabic-Javanese Religious Texts Through the Lens of al-Hikam Aphorisms Translation

Local wisdom stood as a cornerstone of Indonesia's cultural richness. Regrettably, this invaluable asset, particularly in the form of "translation products," was overlooked and underappreciated. Despite Indonesia boasting a substantial collection of Arabic religious texts translated into Javanese, utilizing the pegon script, these Arabic-Javanese texts demanded preservation, scholarly exploration, and development grounded in specific theoretical frameworks. This research undertook a comparative analysis of "cultural terms" within religious texts, focusing on al-Hikam aphorisms translated from Arabic (L1) into both Indonesian and Javanese (L2). The primary objective was to dissect and analyze the local wisdom and Islamic Sufism moral values embedded in al-Hikam aphorisms through translation. The study drew on translations of words, phrases, clauses, and sentences from carefully selected sources related to cultural terms, including books and various Arabic-Javanese translation dictionaries. Employing a purposive sampling method, data collection followed a meticulous process. Qualitative data analysis unfolded through four pivotal stages: (1) domain analysis, (2) taxonomy analysis, (3) componential analysis, and (4) cultural theme analysis. The findings, gleaned from lexicography study and semantic analysis of translation, revealed the existence of two translation ideologies shaping cultural terms in Arabic-Javanese religious texts: domestication ideology and foreignization ideology. This research underscored that translation products were inseparable from the ideological dimensions of foreignization and domestication. Foreignization endeavored to assimilate source language elements into the target language, while domestication integrated original components with local elements. This research contributed to a deeper understanding of how foreignization and domestication shaped the depiction of local wisdom in Arabic-Javanese religious texts.

“Здесь птицы не поют...” (российские антивоенные песни)

After 24 February 2022, anti-war songs emerged as a new phenomenon in Russian culture. They cover a variety of genres, from bardic song to rap, from travesty to tragedy. Songs containing clear anti-war stances reflect the shock of war, the tragic death of people, the destruction of culture and society in which the authors lived or with which they were spiritually connected before the attack on Ukraine, the end of an era in the existence of the Russian Federation. Anti-war songs mark a constantly expanding thematic field, and this article is only an early attempt to analyse and survey them. The presented text collection reveals the clear awareness among creative circles that after the war against Ukraine Russians will face the task of rebuilding their country on the wreckage of a failed state.

Quality aspects of annotated data

The quality of Machine Learning (ML) applications is commonly assessed by quantifying how well an algorithm fits its respective training data. Yet, a perfect model that learns from and reproduces erroneous data will always be flawed in its real-world application. Hence, a comprehensive assessment of ML quality must include an additional data perspective, especially for models trained on human-annotated data. For the collection of human-annotated training data, best practices often do not exist and leave researchers to make arbitrary decisions when collecting annotations. Decisions about the selection of annotators or label options may affect training data quality and model performance.In this paper, I will outline and summarize previous research and approaches to the collection of annotated training data. I look at data annotation and its quality confounders from two perspectives: the set of annotators and the strategy of data collection. The paper will highlight the various implementations of text and image annotation collection and stress the importance of careful task construction. I conclude by illustrating the consequences for future research and applications of data annotation. The paper is intended give readers a starting point on annotated data quality research and stress the necessity of thoughtful consideration of the annotation collection process to researchers and practitioners.

Language corpus and data driven learning (DDL) in language classrooms: A systematic review

This systematic review presents a comprehensive analysis of the literature on the use of corpora and data-driven learning (DDL) in language education. Corpus linguistics encompasses the use of electronic text collections for linguistic analysis, while DDL entails using corpora for pedagogical purposes in second/foreign language teaching. DDL allows language educators to move beyond traditional methods to enhance teaching practices and learning skills. An extensive database search identified 89 pertinent studies published between 1997 and 2022 that met the inclusion criteria. The selected studies focused on keywords such as "DDL," "corpus linguistics," and related phrases to identify relevant literature discussing DDL interventions in language classrooms. Only English, peer-reviewed texts with accessible PDFs were considered for inclusion. These studies described DDL implementation in classroom settings and the common pedagogical practices, difficulties, and limitations encountered. The findings suggest that DDL has significant potential as a pedagogical tool, but challenges exist that limit its positive impact on language learning. Tailored tasks, auxiliary guidance, supplemental support, and peer/group learning were identified as effective strategies for facilitating meaningful corpus engagement for lower-proficiency students.

Prototype to Investigate the Extent to Which Words with Specific Attributes Can Be Retrieved Using Granular Metadata

Despite the growth in digital text collections, the ability to retrieve words or phrases with specific attributes is limited, for example, to retrieve words with a specific meaning within a specific section of a text. Many systems work with coarse bibliographic metadata. To enable fine-grained retrieval, it is necessary to encode texts with granular metadata. Sample texts were encoded with granular metadata. Five categories of metadata that can be used to capture additional data about texts were used, namely, morphological, syntactic, semantic, functional and bibliographic. A prototype was developed to parse the encoded texts and store the information in a database. The prototype was used to test the extent to which words or phrases with specific attributes could be retrieved. Retrieval on a detailed level was possible through the prototype. Retrieval using all five categories of metadata was demonstrated, as well as advanced searches using metadata from different categories in a single search. This article demonstrates that when granular metadata is used to encode texts, retrieval is improved. Relevant information can be selected, and irrelevant information can be excluded, even within a text.

Zhuang Song Preservation Efforts

Songs are at the centre of music transmission in many educational institutions around the world. People in China say ‘song’, but they may mean “music and dance” or they just mean all consciously produced sounds they are confronted with in their daily lives, such as rap coming out of a technical device or the noise of birds around a trash bin.
 One of the main ways to overcome these shortcomings is to break up with conventional habits of holding on to assumptive statements without having clarified their purpose and diversification from sources taken as ‘the original ones’. Millions of songbooks and text collections are published and distributed. They are offering easy teaching and easy performing on stages in front of an unknown majority. Using songs and other ‘easy-to-teach’-items for presenting research goals could lead to many misunderstandings in more complex situations of cultural life, which absorb over time many different appearances of sound, a large part of which is commercial output. This cannot be ignored and should inspire further discussions.

A Vector Space Approach for Measuring Relationality and Multidimensionality of Meaning in Large Text Collections

In this article, we develop a methodological approach for organizational research regarding the construction of multidimensional and relational similarity measures by using the vector space model in natural language processing (NLP). Our vector space approach draws on the well-established premise in organizational research that texts provide a window into social reality and allow measuring theory-based constructs ( e.g., organizations’ self-representations). Using a vector space approach allows capturing the multidimensionality of these theory-based constructs and computing relational similarities between organizational entities ( e.g., organizations, their members, and subunits) in social spaces and with their environments, such as the organization itself, industries, or countries. Thus, our methodological approach contributes to the recent trend in organizational research to use the potential inherent in big (textual) data by using NLP. In an example, we provide guidance for organizational scholars by illustrating how they can ensure validity when applying our methodological contribution in concrete research practice.

Perilaku Berbisnis dan Implementasi Manajemen dalam Novel Harga Teman Design, Resign, Redesign Karya Debora Danisa

Business is an activity that includes economics carried out individually or in groups with the aim of making a profit. In a business that is created, the entrepreneur will definitely try to create ideas that are new and unique in each business. The aim of this research is to describe business behavior and management implementation in the novel Harga Teman by Debora Danisa. This type of research uses a qualitative approach. The data collection technique used is listening and data text collection. The listening method is a way to obtain data by listening to the story facts and economic problems that occur in the novel. The materials used to collect data come from novels that have been read. The results of the research explain that the content of the story that occurred is truly relevant in the real world, where building a business requires the implementation of the basics of management and an unyielding behavior. Uncertain economic conditions subtly require entrepreneurs to be able to survive under any conditions. In business, it turns out that these factors are very necessary for smooth business continuity.

Corpus Analysis with spaCy

This lesson demonstrates how to use the Python library spaCy for analysis of large collections of texts. This lesson details the process of using spaCy to enrich a corpus via lemmatization, part-of-speech tagging, dependency parsing, and named entity recognition. Readers will learn how the linguistic annotations produced by spaCy can be analyzed to help researchers explore meaningful trends in language patterns across a set of texts.

PEDL+: protein-centered relation extraction from PubMed at your fingertip.

Relation extraction (RE) from large text collections is an important tool for database curation, pathway reconstruction, or functional omics data analysis. In practice, RE often is part of a complex data analysis pipeline requiring specific adaptations like restricting the types of relations or the set of proteins to be considered. However, current systems are either non-programmable web sites or research code with fixed functionality. We present PEDL+, a user-friendly tool for extracting protein-protein and protein-chemical associations from PubMed articles. PEDL+ combines state-of-the-art NLP technology with adaptable ranking and filtering options and can easily be integrated into analysis pipelines. We evaluated PEDL+ in two pathway curation projects and found that 59% to 80% of its extractions were helpful. PEDL+ is freely available at https://github.com/leonweber/pedl.

Analisis Kebutuhan Pengembangan E-Modul Perubahan Iklim dan Pemanasan Global Terintegrasi Model Project Based Learning (PjBL)

This study aimed to assess the significance of creating a comprehensive electronic module on project-based learning (PjBL) focused on climate change and global warming. As a result, an initial investigation was undertaken within this research, comprising a review of existing literature and on-site data collection. The research carried out was a type of qualitative descriptive research. Research data was obtained from analyzing teacher needs through interviews and analyzing student needs through filling out questionnaires. The PjBL integrated e-module developed consists of text, images, videos, interactive quizzes, and assignment collection templates via g-form. The development of e-modules is aimed at supporting students to learn independently. During its creation, the e-module made use of the Flip PDF Professional software application. A requirement assessment was conducted to gather insights about the physics learning procedure, the utilization of instructional resources in physics education, and the requisites of students and educators for educational materials (e-modules). From the needs analysis of 51 classes, As many as 80% of students felt that the teacher's explanation alone was not enough. Apart from that, 86% of students need a long time to understand the material on climate change and global warming. Thus, it is necessary to develop an integrated PjBL e-module on climate change and global warming material.