Online machine translation for L2 writing across languages and proficiency levels by Antonie Alm, Yuki Watanabe

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Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer by Sio-Kei Im, Ka-Hou Chan

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Machine Translation: Phrase-Based, Rule-Based and Neural Approaches with Linguistic Evaluation by Macketanz Vivien, Avramidis Eleftherios, Burchardt Aljoscha, Helcl Jindrich, Srivastava Ankit

Subjects: “…machine translation…”
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Semantic Connections in the Complex Sentences for Post-Editing Machine Translation in the Kazakh Language by Aliya Turganbayeva, Diana Rakhimova, Vladislav Karyukin, Aidana Karibayeva, Asem Turarbek

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Machine Translation in Website Localization: Assessing its Translation Quality for Language Learning by Dewi Kesuma Nasution

“…This study seeks to investigate the quality of translation generated by a popular Machine Translation (MT) platform, viz. Google Translate (GT) in translating the content of a Russian flight charterer’s website from English into Indonesian. …”
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Improving Non-Autoregressive Machine Translation Using Sentence-Level Semantic Agreement by Shuheng Wang, Heyan Huang, Shumin Shi

Subjects: “…machine translation…”
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Introducing Machine Translation in the Translation Classroom: a Survey on Students’ Attitudes and Perceptions by Diana González Pastor

Subjects: “…machine translation…”
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Language Model Adaptation Using Machine-Translated Text for Resource-Deficient Languages by Jensson ArnarThor, Iwano Koji, Furui Sadaoki

“…This paper introduces an LM adaptation technique to improve an LM built using a small amount of task-dependent text with the help of a machine-translated text corpus. Icelandic speech recognition experiments were performed using data, machine translated (MT) from English to Icelandic on a word-by-word and sentence-by-sentence basis. …”
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Translation Quality and Error Recognition in Professional Neural Machine Translation Post-Editing by Jennifer Vardaro, Moritz Schaeffer, Silvia Hansen-Schirra

Subjects: “…neural machine translation…”
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Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments by Umit V. Ucak, Islambek Ashyrmamatov, Junsu Ko, Juyong Lee

“…The authors present a retrosynthetic prediction model using the fragment-based representation of molecules and the Transformer architecture in neural machine translation.…”
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The Attitude of the Lithuanian Translation Market Participants towards Machine Translation and Post-editing by Karolina Levanaitė

Subjects: “…machine translation…”
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Identifying the Machine Translation Error Types with the Greatest Impact on Post-editing Effort by Joke Daems, Sonia Vandepitte, Robert J. Hartsuiker, Lieve Macken

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Building a Controlled Natural Language Framework for Real-time Machine Translation by Sebastián León Calderón

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On internal language representations in deep learning : an analysis of machine translation and speech recognition by Belinkov, Yonatan

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Machine translation through clausal syntax : a statistical approach for Chinese to English by Wheeler, Dan Lowe

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Grammar-based and example-based techniques in machine translation from English to Arabic by Alawneh, M., Sembok, Tengku Mohd, Mohd, Masnizah

“…A major design goal of this system is that it will be used as a stand-alone tool, and can be integrated with a general machine translation system for English sentences. The evaluation is carried out on 250 independent test suites, and the analysis indicates that HERBMT achieved good performance with an average of 97.2% precision.…”
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HIERARCHICAL PHRASE-BASED ENGLISH – INDONESIAN MACHINE TRANSLATION USING ADJ TECHNIQUE by Adji, Teguh Bharata

“…We also developed an English to Indonesian Machine Translation (MT) system using those transfer rules to be compared with the phrase-based system, which is our previous version that outperforms other available English to Indonesian MT systems.…”
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Evaluation of Instagram's neural machine translation for literary texts: an MQM-Based Analysis by Fakih, Altaf, Ghassemiazghandi, Mozhgan, Fakih, Abdul-Hafeed, Manjet K. M. Singh

“…Yet, the accuracy of these platforms' machine translation systems is still a concern. Therefore, this paper aims to explore the potential of Neural Machine Translation utilized by Instagram in producing high-quality translations. …”
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Building An Ontology-Based Multilingual Lexicon For Word Sense Disambiguation In Machine Translation. by Lim, Lian-Tze, Tang, Enya Kong

“…WSD efforts in machine translation require) in addition) the equivalent translation words in target languages.…”
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Optimal translation of English to Bahasa Indonesia using statistical machine translation system by Mantoro, Teddy, Asian, Jelita, Octavian, Riza, Ayu, Media Anugerah

“…Our results show that this approach has better performance than a popular Rule Based Machine Translation (RBMT) system.…”