Korean jamo-level byte-pair encoding for neural machine translation by Lee, Junyoung

“…To exploit the characteristics of the Korean language for a more parameter-efficient tokenization strategy in Neural Machine Translation pipeline, this project considers the compositional nature of Korean syllables. …”
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Passive and pervasive use of a bilingual dictionary in statistical machine translation by Tan, Liling, Josef van Genabith, Bond, Francis

“…Previous studies have shown that both approaches provide external lexical knowledge to statistical machine translation thus improving translation quality. …”
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OxLM: A Neural Language Modelling Framework for Machine Translation by Baltescu, P, Blunsom, P, Hoang, H

Human-machine translation model evaluation based on artificial intelligence translation by Li, Ruichao, Mohd. Nawi, Abdullah, Kang, Myoung Sook

“…The research results suggested that the language fluency score rose from 4.9667 for conventional Statistical Machine Translation to 6.6333 for the AI-based translation model. …”
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A retrospective view on the promise on machine translation for Bahasa Melayu-English by Mohd Noor, Yusnita, Jamaludin, Zulikha, Jusoh, Shaidah

“…It has been more than 30 years since the machine translation was introduced and yet a Malay language or Bahasa Melayu (BM) to English machine translation engine is not available. …”
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Some Weaknesses of Modern Machine Translation (by Example of Google Translate Web Service) by I. S. Samokhin, N. L. Sokolova, M. G. Sergeyeva

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ADAPTING HYBRID MACHINE TRANSLATION TECHNIQUES FOR CROSS-LANGUAGE TEXT RETRIEVAL SYSTEM by P. ISWARYA, V. RADHA

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MarianCG: a code generation transformer model inspired by machine translation by Ahmed S. Soliman, Mayada M. Hadhoud, Samir I. Shaheen

“…Our code generation approach, MarianCG, is based on fine-tuning a machine translation pre-trained language model. This allows us to demonstrate that the pre-trained translation model can also operate and work as a code generation model. …”
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The neural machine translation models for the low-resource Kazakh–English language pair by Vladislav Karyukin, Diana Rakhimova, Aidana Karibayeva, Aliya Turganbayeva, Asem Turarbek

Subjects: “…Neural machine translation…”
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Improving Low-Resource Neural Machine Translation With Teacher-Free Knowledge Distillation by Xinlu Zhang, Xiao Li, Yating Yang, Rui Dong

Subjects: “…Neural machine translation…”
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UPC: An Open Word-Sense Annotated Parallel Corpora for Machine Translation Study by Van-Hai Vu, Quang-Phuoc Nguyen, Joon-Choul Shin, Cheol-Young Ock

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Machine Translation in Foreign Language Writing: Student Use to Guide Pedagogical Practice by Emily A. Hellmich

Subjects: “…machine translation…”
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An Automatic Error Detection Method for Machine Translation Results via Deep Learning by Weihong Zhang

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Revisiting Back-Translation for Low-Resource Machine Translation Between Chinese and Vietnamese by Hongzheng Li, Jiu Sha, Can Shi

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Investigating implicature in the machine translation of selected conversations from the novel ‘The hunger games’ by Laila Ahmed Kamal, Nesma Mahmoud Shoshan, Seham El Kareh

Subjects: “…pragmatics, machine translation, grice’s maxims, implicature, google translate…”
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Named Entity Correction in Neural Machine Translation Using the Attention Alignment Map by Jangwon Lee, Jungi Lee , Minho Lee , Gil-Jin Jang

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Machine translation literacy and undergraduate students in applied languages: Report on an exploratory study by Rudy Loock, Sophie Léchauguette

Subjects: “…(neural) machine translation…”
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The Effectiveness of Machine Translation Using “Google Translate” in English Language Learning in Bangladesh by Arafat Shahriar

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The effect of editing techniques on machine translation-informed academic foreing language writing by Vahid Reza Mirzaeian

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A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation by Yu Li, Xiao Li, Yating Yang, Rui Dong

Subjects: “…neural machine translation…”
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