Results 11 to 20 of about 67,007 (186)

Machine Translation Post-Editing at TransPerfect – the ‘Human’ Side of the Process

Revista Tradumàtica, 2017
Machine translation post-editing (MTPE) is becoming a common practice in translation industry. Proper collaboration with linguists is key to successful MT implementation in the translation workflow.
Anna Zaretskaya
doaj   +1 more source

Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT

Frontiers in Oncology, 2022
BackgroundThe current clinical workflow for esophageal gross tumor volume (GTV) contouring relies on manual delineation with high labor costs and inter-user variability.PurposeTo validate the clinical applicability of a deep learning multimodality ...
Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho   +24 more
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The Translator's Amanuensis 2020

JoSTrans: The Journal of Specialised Translation, 2017
This paper is an exercise of imagination. Based on Kay's (1980) inspiring idea of a translator's amanuensis, we attempt to describe a post-editing tool that enables ubiquitous translation (Cronin 2010).
Elisa Alonso, Lucas Nunes Vieira
doaj   +1 more source

Quantifying the Effect of Machine Translation in a High-Quality Human Translation Production Process

Informatics, 2020
This paper studies the impact of machine translation (MT) on the translation workflow at the Directorate-General for Translation (DGT), focusing on two language pairs and two MT paradigms: English-into-French with statistical MT and English-into-Finnish ...
Lieve Macken, Daniel Prou, Arda Tezcan
doaj   +1 more source

Web-Scale Normalization of Geospatial Metadata Based on Semantics-Aware Data Sources

ISPRS International Journal of Geo-Information, 2017
Geospatial metadata are largely denormalized inasmuch as resource descriptions typically accommodate property values as plain text. Hence, it is not possible to bring multiple references to the same entity (say, a keyword from a controlled vocabulary ...
Cristiano Fugazza, Paolo Tagliolato, Luca Frigerio, Paola Carrara   +3 more
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GIS-BASED SURFACE ANALYSIS OF ARCHAEOLOGICAL FINDS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The international research project HiMAT (History of Mining Activities in the Tyrol and adjacent areas) is dedicated to the study of mining history in the Eastern Alps by various scientific disciplines.
K. Kovács, K. Hanke, M. Moser
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Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers

Radiation Oncology, 2021
Purpose We recently described the validation of deep learning-based auto-segmented contour (DC) models for organs at risk (OAR) and clinical target volumes (CTV).
Jordan Wong, Vicky Huang, Derek Wells, Joshua Giambattista, Jonathan Giambattista, Carter Kolbeck, Karl Otto, Elantholi P. Saibishkumar, Abraham Alexander   +8 more
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Establishment of a CRISPR/Cas9-Based Genome Editing System in Macrobrachium rosenbergii

Animals
The giant freshwater prawn Macrobrachium rosenbergii is a globally farmed decapod species of high economic and nutritional value, but its genetic improvement has been constrained by the lack of an efficient genome editing workflow.
Junjun Yan, Siyu Qian, Guo Li, Yujie Liu, Liqian Zhou, Tiantian Ye, Cui Liu, Jilun Meng, Yukun Jie, Zhimin Gu   +9 more
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Translation Quality and Error Recognition in Professional Neural Machine Translation Post-Editing

Informatics, 2019
This study aims to analyse how translation experts from the German department of the European Commission’s Directorate-General for Translation (DGT) identify and correct different error categories in neural machine translated texts (NMT) and their ...
Jennifer Vardaro, Moritz Schaeffer, Silvia Hansen-Schirra   +2 more
doaj   +1 more source

Optimising the Machine Translation Post-editing Workflow

Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019, 2019
In this article, we describe how machine translation is used for post-editing at TransPerfect and the ways in which we optimise the workflow. This includes MT evaluation, MT engine customisation, leveraging MT suggestions compared to TM matches, and the lessons learnt from implementing MT at a large scale.
openaire   +1 more source