Trends in the use of information and communication technologies in the teaching of foreign languages and translator training by N. Kovalchuk

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LUCY MAUD MONTGOMERY’NİN “YEŞİL’İN KIZI” ADLI KİTABININ YAZIN ÇEVİRİSİ VE MAKİNE ÇEVİRİSİ ÇERÇEVESİNDE KARŞILAŞTIRMALI İNCELENMESİ by Rabia Aksoy Arıkan

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Automatiс Translation Process and Translation Technologies Advancement on International Translation Market: the Current Status and Development Trends by T. I. Makarevich

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Deep Learning-Based English-Chinese Translation Research by Yao Huang, Yi Xin

“…Neural machine translation (NMT) has been bringing exciting news in the field of machine translation since its emergence. …”
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Design of Intelligent Recognition English Translation Model Based on Deep Learning by Yuexiang Ruan

“…This paper improved the performance of machine translation based on deep learning network and studied the intelligent recognition of English-Chinese machine translation models. …”
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Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation by Aaron L.-F. Han, Derek F. Wong, Lidia S. Chao, Liangye He, Yi Lu

“…With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress. …”
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A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation by Longyue Wang, Derek F. Wong, Lidia S. Chao, Yi Lu, Junwen Xing

“…Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data. This paper performs an in-depth analysis of three different sentence selection techniques. …”
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On the Principles and Decisions of New Word Translation in Sino-Japan Cross-Border e-Commerce: A Study in the Context of Cross-Cultural Communication by Gaowa Sulun

“…In the context of the rapid development of multimedia and information technology, machine translation plays an indispensable role in cross-border e-commerce between China and Japan. …”
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Research on Literary Translation Based on the Improved Optimization Model by Hongjian Liu

“…Machine translation is widely used in people’s daily lives and production, occupying an important position. …”
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AN APPLICATION TO TRANSLATE FROM VIETNAMESE INTO K’HO USING STMT APPROACH by Nguyễn Minh Hiệp, Nguyễn Thị Lương, Lê Văn Phượng, Nguyễn Thị Minh Huyền, Đinh Viết Tuấn

“…This paper describes the Statistics Machine Translation (STMT) application to translate from Vietnamese into K’Ho. …”
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Adaptive Language Processing Based on Deep Learning in Cloud Computing Platform by Wenbin Xu, Chengbo Yin

“…Finally, the adaptive method of massive corpus filtering and statistical machine translation based on cloud platform is verified. …”
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NMT-translation – basic models, quality assessment by I. A. Borunov

“…The purpose of this study is to provide a comprehensive review of current neural machine translation (NMT) models and methods for assessing the quality of translated texts produced using them, with a focus on the application of these models to the translation of legal and legislative literature. …”
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Model and Simulation of Maximum Entropy Phrase Reordering of English Text in Language Learning Machine by Weifang Wu

“…This paper proposes a feature extraction algorithm based on the maximum entropy phrase reordering model in statistical machine translation in language learning machines. The algorithm can extract more accurate phrase reordering information, especially the feature information of reversed phrases, which solves the problem of imbalance of feature data during maximum entropy training in the original algorithm, and improves the accuracy of phrase reordering in translation. …”
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Innovation in der Translation. Aspekte der Patentübersetzung am Beispiel der Relation Deutsch-Polnisch by Łukasz M. Plęs

“…The article deals with aspects of patent translation, such as formal issues, text specifics, style, terminology, and the use of computer-assisted and machine translation.…”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging is the basis of the other Natural Language Processing methods, such as machine translation, word sense disambiguation, and sentiment analysis. …”
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A Systematic Analysis of Various Word Sense Disambiguation Approaches by Chandra Ganesh, Sanjay K. Dwivedi, Satya Bhushan Verma, Manish Dixit

“…This paper also describes the various applications of WSD, such as information retrieval, machine translation, speech recognition, computational advertising, text processing, classification of documents and biometrics.…”
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Tracing the evolution of ancient Chinese military science through classical texts by Mengcheng Wu, Dongbo Wang

“…By collecting representative military texts from various historical periods in China and supplementing the data with translations via machine translation technology, a comprehensive corpus of ancient Chinese military texts has been constructed. …”
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Graph Convolutional Network for Word Sense Disambiguation by Chun-Xiang Zhang, Rui Liu, Xue-Yao Gao, Bo Yu

“…Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval. In order to improve disambiguation accuracy, this paper proposes a WSD method based on the graph convolutional network (GCN). …”
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Exploring the Performance of Tagging for the Classical and the Modern Standard Arabic by Dia AbuZeina, Taqieddin Mostafa Abdalbaset

“…In fact, the PoS taggers contribute as a preprocessing step in various NLP tasks, such as syntactic parsing, information extraction, machine translation, and speech synthesis. In this paper, we examine the performance of a modern standard Arabic (MSA) based tagger for the classical (i.e., traditional or historical) Arabic. …”
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Instrumental Competence Development of Internship Students in English Translation and Interpreting Department by Hüsna Ekşioğlu

“…The research specifically examines how fourth-year students' proficiency in Computer-Assisted Translation (CAT) tools, machine translation systems, and digital resources evolves throughout their mandatory internships. …”
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