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The Programming Historian, 2021 This lesson covers how to convert images of text into text files and translate those text files. The lesson will also cover how to organize and edit images to make the conversion and translation of whole folders of text files easier and more accurate ...
Andrew Akhlaghi
doaj +3 more sources
Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +4 more
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Gender Bias in Machine Translation [PDF]
Transactions of the Association for Computational Linguistics, 2021 Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, processing, and communicating information. However, it can suffer from biases that harm users and society at large.
Beatrice Savoldi +4 more
semanticscholar +8 more sources
Machine Translation and Translation Theory [PDF]
, 1997 Part 1 Aspects of human translation worth considering for machine translation: Process models in simultaneous interpretation, Barbara Moser-Mercer Using test mappings in teaching consecutive interpreting, Hans G. Honig The important of functional markers in (human) translation, Christiane Nord Translating cultural specifics - macro- and microstructural
Christa Hauenschild, Susanne Heizmann
openalex +3 more sources
Document-Level Machine Translation with Large Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks.
Longyue Wang +6 more
semanticscholar +1 more source
Adaptive Machine Translation with Large Language Models [PDF]
European Association for Machine Translation Conferences/Workshops, 2023 Consistency is a key requirement of high-quality translation. It is especially important to adhere to pre-approved terminology and adapt to corrected translations in domain-specific projects.
Yasmin Moslem, Rejwanul Haque, Andy Way
semanticscholar +1 more source
A Survey on Hybrid Machine Translation [PDF]
E3S Web of Conferences, 2020 Machine translation has gradually developed in past 1940’s.It has gained more and more attention because of effective and efficient nature. As it makes the translation automatically without the involvement of human efforts. The distinct models of machine
Anugu Anusha, Ramesh Gajula
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Neural Machine Translation of Rare Words with Subword Units [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem. Previous work addresses the translation of out-of-vocabulary words by backing off to a dictionary.
Rico Sennrich +2 more
semanticscholar +1 more source
Effective Approaches to Attention-based Neural Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation.
Thang Luong +2 more
semanticscholar +1 more source
The unreasonable effectiveness of few-shot learning for machine translation [PDF]
International Conference on Machine Learning, 2023 We demonstrate the potential of few-shot translation systems, trained with unpaired language data, for both high and low-resource language pairs. We show that with only 5 examples of high-quality translation data shown at inference, a transformer decoder-
Xavier García +7 more
semanticscholar +1 more source