TAGES AND PRINCIPLES OF BUILDING PARALLEL TEXT CORPORA

Аннотация

The article discusses the stages and principles of constructing parallel text corpora used in linguistic research and educational applications. It outlines the key stages in corpus creation: from selecting representative texts in the source language to aligning them with translations in other languages and implementing multi-level annotation. Criteria ensuring the representativeness and target orientation of the corpora are described, including genre diversity, types of linguistic data, and machine-processability. Special attention is given to characteristics that define the functionality of parallel corpora, such as contextual alignment, textual synchrony, and adaptation to profession-oriented tasks. The paper analyzes the didactic potential of parallel corpora, which enables precise study of linguistic patterns and lexical variability. Keywords:parallel text corpora, principles of corpus construction, stages of corpus development, representativeness, contextual alignment, multi-level annotation, professional vocabulary, linguisticanalysis. Introduction. Parallel text corpora are a tool that enables systematic analysis of linguistic phenomena based on original texts and their translations. They hold high value for linguistic research and educational purposes, ensuring precise interpretation of language units andanalysis oftheir usage in comparablecontexts. The process of creating such corpora requires a strict methodological sequence. This includes the selection of texts that are representative in terms of genre, style, and period, synchronization of the original data with translations, and the implementation of annotation for subsequent analysis. The principles of corpus formation determine their practical value: representativeness, multilingualism, morphological and syntactic annotation, as well as applicabilityto profession-oriented tasks. Studying the stages and principles of building parallel text corpora is essential for improving language analysis methods, developing modern educational materials, and constructing automated text processing systems. The present study aims to systematize approaches to corpus creation and adapt them to the requirements of scientific and educational objectives. Materials and Methods. To study the stages and principles of constructing parallel text corpora, texts in two languages were selected that met genre and thematic requirements. The source materials included scientific articles, literary works, and technical documentation. The principles of text selection were based on genre representativeness, synchrony in publicationdates, andtranslational equivalence. page911 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue04,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai Text processing included preliminary preparation: segmentation (into sentences or paragraphs), tokenization, and alignment of originals and translations. Specialized alignment tools such as HunAlign and Bleualign were used, ensuring accurate correspondence between textsegments. For corpus annotation, automated annotation systems such as Stanford NLP and SpaCy were used to determine the morphological and syntactic characteristics of the texts. The annotation process included part-of-speech tagging, lemmatization, and syntactic tree construction. Additionally, semantic markers were introduced for analyzing lexical units in context. The result of this process was the creation of a database that integrates texts and their translations into a unified structure. For corpus analysis, programs such as AntConc and Sketch Engine were employed, enabling the identification of linguistic patterns, frequency analysis oflexical items, and contextualexamination. The constructed corpus underwent a quality assessment, including verification of original- translation correspondence, segmentation accuracy, and annotation completeness. These stages ensured theapplicability ofthecorpus for further linguisticandapplied research. Literature Review. The process of constructing parallel text corpora involves several keystages. First and foremost, texts in thesource language andtheir translations are collected. To ensure representativeness, materials covering various genres and styles are selected, which allows for the study of a wide range of linguistic features [1]. At the next stage, text alignment is performed, during which each unit of the source language is matched with the corresponding unit in the translation. This process relies on automated alignment algorithms thataccount forlexical and syntacticdifferences between languages [2]. Following alignment, linguistic annotation is carried out, including the identification of morphological and syntactic characteristics of language units. This annotation is essential for analyzing lexico-grammatical features and identifying patterns in translation. Modern software tools make it possible