الترجمة الآلية - الواقع والآفاق- by Zahira Kebir

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Effect of Word Sense Disambiguation on Neural Machine Translation: A Case Study in Korean by Quang-Phuoc Nguyen, Anh-Dung Vo, Joon-Choul Shin, Cheol-Young Ock

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Fully Unsupervised Machine Translation Using Context-Aware Word Translation and Denoising Autoencoder by Shweta Chauhan, Philemon Daniel, Shefali Saxena, Ayush Sharma

“…Learning machine translation by using only monolingual data sets is a complex task as there are many possible ways to connect or associate target sentences with source sentences. …”
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Keeping Models Consistent between Pretraining and Translation for Low-Resource Neural Machine Translation by Wenbo Zhang, Xiao Li, Yating Yang, Rui Dong, Gongxu Luo

Subjects: “…low-resource neural machine translation…”
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Empirical Analysis of Phrase-Based Statistical Machine Translation System for English to Hindi Language by Arun Babhulgaonkar, Shefali Sonavane

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ATLASLang NMT: Arabic text language into Arabic sign language neural machine translation by Mourad Brour, Abderrahim Benabbou

Subjects: “…Machine translation system…”
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AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas by Katharina Kann, Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, John E. Ortega, Annette Rios, Angela Fan, Ximena Gutierrez-Vasques, Luis Chiruzzo, Gustavo A. Giménez-Lugo, Ricardo Ramos, Ivan Vladimir Meza Ruiz, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu

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Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation by Markus Freitag, George Foster, David Grangier, Viresh Ratnakar, Qijun Tan, Wolfgang Macherey

“… AbstractHuman evaluation of modern high-quality machine translation systems is a difficult problem, and there is increasing evidence that inadequate evaluation procedures can lead to erroneous conclusions. …”
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MACHINE TRANSLATION IN THE FIELD OF LAW: A STUDY OF THE TRANSLATION OF ITALIAN LEGAL TEXTS INTO GERMAN by Eva WIESMANN

Subjects: “…neural machine translation…”
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Challenging machine translation engines: Some Spanish-English linguistic problems put to the test by Argelia Peña Aguilar

Subjects: “…Machine Translation…”
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Recurrent Neural Network-Gated Recurrent Unit for Indonesia-Sentani Papua Machine Translation by Rizkial Achmad, Yokelin Tokoro, Jusuf Haurissa, Andik Wijanarko

Subjects: “…machine translation, rnn-gru, papua, indonesia…”
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Implicit Cross-Lingual Word Embedding Alignment for Reference-Free Machine Translation Evaluation by Min Zhang, Hao Yang, Yanqing Zhao, Xiaosong Qiao, Shimin Tao, Song Peng, Ying Qin, Yanfei Jiang

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The Use of Machine Translation for Outreach and Health Communication in Epidemiology and Public Health: Scoping Review by Paula Sofia Herrera-Espejel, Stefan Rach

“…Research on whether machine-translated texts are received differently by addressees is lacking, as well as research on MT in communication scenarios that warrant a response from the addressees.…”
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MACHINE TRANSLATION IN THE FIELD OF LAW: A STUDY OF THE TRANSLATION OF ITALIAN LEGAL TEXTS INTO GERMAN by Eva WIESMANN

Subjects: “…neural machine translation…”
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Using Dependency Tree Grammar to Enhance the Reordering Model of Statistical Machine Translation Systems by Zahra Rahimi, Shahram Khadivi, Heshaam Faili

Subjects: “…statistical machine translation…”
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EDITOR: An Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints by Weijia Xu, Marine Carpuat

“…EDITOR also achieves comparable or better translation quality with faster decoding speed than the Levenshtein Transformer on standard Romanian-English, English-German, and English-Japanese machine translation tasks.…”
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WCC-JC: A Web-Crawled Corpus for Japanese-Chinese Neural Machine Translation by Jinyi Zhang, Ye Tian, Jiannan Mao, Mei Han, Tadahiro Matsumoto

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The use of machine translation algorithm based on residual and LSTM neural network in translation teaching. by Beibei Ren

“…In summary, the performance and quality of the translation model are improved significantly by learning the language characteristics in translations by teachers and students, providing ideas for applying machine translation in professional translation teaching.…”
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Polyseme Transfer in the Chinese to English Machine Translation Output and Chinese Students' English Writing by Zhenyan Ye

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Text Globalization and Machine Translation (Case of English-Russian Translation of U.S. Travel Site) by Volkova Irina D.

“…The paper deals with the pre-editing process before it goes through machine translation. The main argument is to improve the source in order to improve the raw output quality. …”
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