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The link between translation difficulty and the quality of machine translation: a literature review and empirical investigation
We survey the relevant literature on translation difficulty and automatic evaluation of machine translation (MT) quality and investigate whether...
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Democratizing neural machine translation with OPUS-MT
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into...
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Machine Translation Versus Human Translation of Artionyms
The paper considers how artionyms are represented in human and machine translation, which is relevant for applied, corpus and comparative...
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Preservation of sentiment in machine translation of low-resource languages: a case study on Slovak movie subtitles
This research explores the effectiveness of machine translation from Slovak to English for sentiment analysis, specifically focusing on the...
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adaptNMT: an open-source, language-agnostic development environment for neural machine translation
adaptNMT streamlines all processes involved in the development and deployment of RNN and Transformer neural translation models. As an open-source...
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A comparative evaluation for question answering over Greek texts by using machine translation and BERT
Although there are numerous and effective BERT models for question answering (QA) over plain texts in English, it is not the same for other...
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Rei Miyata: controlled document authoring in a machine translation age
Machine translation (MT) has already been widely applied in various fields, such as businesses, health, communication, and international relations....
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Revolutionising Translation with AI: Unravelling Neural Machine Translation and Generative Pre-trained Large Language Models
This work explores the technical advancements in artificial intelligence (AI) for translation, with a focus on neural machine translation (NMT) and...
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Machine Translation and Foreign Language Learning
The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is...
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Machine translation in society: insights from UK users
Machine translation (MT) tools like Google Translate can overcome language barriers and increase access to information. These tools also carry risks,...
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On the Influence of Machine Translation on Language Origin Obfuscation
In the last decade, machine translation has become a popular means to deal with multilingual digital content. By providing higher quality...
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Plain Language in the Age of Neural Machine Translation: An Opportunity for Translators
Plain language writing and neural machine translation are two trends that are taking hold in the world of professional communication. Often...
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Making the most of comparable corpora in Neural Machine Translation: a case study
Comparable corpora can benefit the development of Neural Machine Translation models, in particular for under-resourced languages. We present a case...
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New Advances in Translation Technology Applications and Pedagogy
From using machine learning to shave seconds off translations, to using natural language processing for accurate real-time translation services, this...
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Error Classification and Evaluation of Machine Translation Evaluation Metrics for Hindi as a Target Language
Evaluation of Machine Translation (MT) is an onerous but a critical task. Automatic evaluation metrics evaluates the adequacy and fluency of a...
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Neural Machine Translation Systems and Chinese Wuxia Movies: Moving into Uncharted Territory
This chapter contributes to the discourse on the fansubbing of wuxiaWuxia movies movies using neural machine translationNeural machine translation...
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The Utility of Hierarchical Phrase-Based Model Machine Translation for Low Resource Languages
The paper uses a hierarchical phrase-based model to develop Statistical Machine Translation (SMT) Systems for four low resourced South Asian...
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A Neural Network Classifier Based on Dependency Tree for English-Vietnamese Statistical Machine Translation
Reordering in MT is a major challenge when translating between languages with different of sentence structures. In Phrase-based statistical machine...
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Corpora and Translation Education Advances and Challenges
This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based...
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Machine translation systems and quality assessment: a systematic review
Nowadays, in the globalised context in which we find ourselves, language barriers can still be an obstacle to accessing information. On occasions, it...
