[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118382-en":3,"doc-seo-118382-105":30,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118382,1099514067415,"Rowan","https://ap-avatar.wpscdn.com/avatar/100002539d78ffe74a7?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779092875211072502",8,"Research & Report","NEW TECHNOLOGIES IN TRANSLATION - MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE","Study purpose focuses on analyzing how new technologies, especially machine learning and artificial intelligence, are used in translation workflows. The material explains machine learning as a data-driven AI subset trained on extensive examples, and summarizes practical benefits of machine translation, including speed and broad accessibility. Key limitations are addressed, such as insufficient contextual understanding, low quality, and lexical or grammatical errors. The text also outlines grammatical, statistical, and hybrid translation types and notes automatic subtitle/video translation.","Sofia Minaeva  \nKyiv National University of Technologies and Design (Kyiv)  \nLanguage and scientific supervisor – Kseniia Kugai  \nNEW TECHNOLOGIES IN TRANSLATION: MACHINE LEARNING  \nAND ARTIFICIAL INTELLIGENCE  \nThe inception of written translation coincided with the evolution of written language, with its initial focus primarily on religious texts. It is commonly accepted that St. Jerome was the first translator, undertaking the translation of the Bible from Greek and Hebrew into Latin. He dedicated 23 years to this endeavor, followed by an additional 15 years spent annotating his finished work to provide further elucidation of its content (Hes, 2019) .  \nNowadays, translation activities are becoming more and more in demand due to the rapid development of information technologies. A modern specialist, such asan engineer, economist or manager, has to not only review technical and other literature to get the information they need, but also translate it to understand the meaning.  \nThe purpose of the study is to analyze the use of new technologies in translation, such as machine learning and artificial intelligence.  \nInitially, it’s important to acknowledge that machine learning represents a subset of artificial intelligence techniques, addressing problems indirectly through the identification of patterns within data following extensive training of algorithmson numerous examples (Hlaiboroda, 2023) . As commonly understood, machine learning empowers computers to tackle tasks previously exclusively managed by humans.  \nMachine translation also has its advantages and disadvantages. The first and foremost advantage is the high translation speed. Just a few seconds and your text  \ntranslation is ready. You don’t need to look up every word in a dictionary or look for a professional interpreter to do your job.  \nThe next advantage is accessibility. Anyone who has access to the Internet or installs an offline version of a machine translator can access it anytime from anywhere and get a translation. Also, machine translation can handle multiple languages, which means that businesses can reach a wider audience by translating their content into multiple languages simultaneously. In general, machine translators are not useless: they help Internet users quickly solve work problems, choose a hobby, and communicate with friends.  \nNext, let us look at the disadvantages of machine translation. First, it is a lack of accuracy: machine translation cannot fully understand the meaning and context of the text, which can lead to inaccurate translations. Essentially, translating text from one language to another requires not only comprehending the text itself but also grasping the cultural context in which it originated. A broad spectrum of knowledge, particularly in recognizing the contextual elements related to pragmatics, is essential for accurate translation (Kugai et al. , 2018, 407) .  \nThe main disadvantage of machine translation is its low quality. Automatic translation services mostly translate text verbatim. They can convey the general essence of the text. However, they make lexical and grammatical mistakes. Of course, the lack of a human factor is a big drawback. Machine translation cannot understand all the nuances and emotions in the text like a human. Therefore, such types of text as literature, poetry and legal documents are best translated by humans, as they are better able to cope with this task, than machine technologies.  \nToday, there are three types of automatic translation: grammatical, statistical, hybrid (Hes, 2019) .  \nThe grammar framework examines the text utilized during the process. Translation relies on comprehensive dictionaries and grammatical rules that encompass semantics, morphology, and syntax. This process involves the  \ntransformation of the text, resulting in two interconnected texts: the source and target, with related structures.  \nStatistical translation is carried out on the basis of statistical analysis of ","cbCaib3teeUluUrO","https://ap.wps.com/l/cbCaib3teeUluUrO","pdf",212679,1,4,"English","en",105,"# Introduction\n# Machine Learning and AI in Translation\n# Advantages and Disadvantages of Machine Translation\n## Accuracy and Context\n## Quality and Human Factor\n# Types of Automatic Translation\n## Grammatical\n## Statistical\n## Hybrid\n# Video Translation Technologies\n# Conclusion","[{\"question\":\"What is the study purpose regarding new technologies in translation?\",\"answer\":\"The study analyzes the use of new technologies in translation, particularly machine learning and artificial intelligence.\"},{\"question\":\"What are the main advantages of machine translation mentioned in the text?\",\"answer\":\"The key advantages are high translation speed and accessibility, including availability online or via offline versions, plus support for multiple languages.\"},{\"question\":\"Why can machine translation still not fully replace professional translation?\",\"answer\":\"Machine translation lacks complete accuracy and contextual understanding, often produces lexical and grammatical mistakes, and cannot convey nuances and emotions that require human expertise.\"}]","NEW TECHNOLOGIES IN TRANSLATION - 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