Application of dynamic time warping optimization algorithm in speech recognition of machine translation. [PDF]
Heliyon, 2023 Jiang S, Chen Z.
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Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts [PDF]
arXivIn this paper we present a step-by-step approach to long-form text translation, drawing on established processes in translation studies. Instead of viewing machine translation as a single, monolithic task, we propose a framework that engages language models in a multi-turn interaction, encompassing pre-translation research, drafting, refining, and ...
arxiv
Handling syntactical ambiguity in machine translation [PDF]
, 1984 Vladimir Pericliev
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PalimpsestesThis is an interdisciplinary study investigating to what extent a machine translation (MT) system can reproduce a translator’s style if it is trained on a corpus of previous translations by the same translator. Leech and Short’s (2007) methodology of stylistic analysis was adapted to determine the stylistic features of a prominent Turkish translator ...
Dallı, Harun +6 more
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation task. [PDF]
PLoS Comput Biol, 2023 Valencia JD, Hendrix DA.
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A case analysis method cooperating with ATNG and its application to machine translation [PDF]
, 1984 Hitoshi Iida +2 more
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Advanced Engineering Materials, EarlyView.Acoustic emissions during direct laser interference patterning are shown to strongly correlate with surface texture depth. By implementing a closed‐loop control system utilizing acoustic feedback, consistent microstructures with uniform depth are achieved despite laser power fluctuations.
Tobias Steege +4 more
wiley +1 more source
Lost in Machine Translation: The Promises and Pitfalls of Machine Translation for Multilingual Group Work in Global Health Education [PDF]
Discov Educ, 2022 Hill DC +6 more
europepmc +2 more sources
Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury Scale. [PDF]
Accid Anal Prev, 2023 Hartka T +4 more
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