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
Application of dynamic time warping optimization algorithm in speech recognition of machine translation. [PDF]
Heliyon, 2023 Jiang S, Chen Z.
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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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Advanced Engineering Materials, Volume 27, Issue 8, April 2025.This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon +7 more
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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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Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch +2 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
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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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