Results 81 to 90 of about 9,525,540 (330)

Multiword Units in Machine Translation and Translation Technology

open access: yesCurrent issues in linguistic theory, 2018
The correct interpretation of Multiword Units (MWUs) is crucial to many applications in Natural Language Processing but is a challenging and complex task.
J. Monti   +3 more
semanticscholar   +1 more source

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

open access: yesMolecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu   +18 more
wiley   +1 more source

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

open access: yesInformatics, 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

Highlighting matched and mismatched segments in translation memory output through sub-­tree alignment [PDF]

open access: yes, 2010
In recent years, it is becoming more and more clear that the localisation industry does not have the necessary manpower to satisfy the increasing demand for high-quality translation.
Zhechev, Ventsislav
core  

Technology and translator training

open access: yes, 2019
There is broad consensus in the literature that anyone who wishes to become a professional translator of pragmatic and technical texts should acquire an understanding of, and an ability to use and critically appraise, contemporary translation technologies.
openaire   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

open access: yesMolecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié   +16 more
wiley   +1 more source

Human Translation Vs Machine Translation: the Practitioner Phenomenology [PDF]

open access: yes, 2018
The paper aimed at exploring the current phenomenon regarding human translation with machine translation. Human translation (HT), by definition, is when a human translator—rather than a machine—translate text. It's the oldest form of translation, relying
Xeauyin, L. (Liming), Xiu, P. (Peng)
core  

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

open access: yesMolecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker   +16 more
wiley   +1 more source

Translator Education in the AI Era: Challenges and Opportunities

open access: yesContemporary Social Sciences, 2020
Graduates of translation programs are increasingly encountering the structural changes in the language service industry brought about by machine translations.
Zhu Yifan and Guan Xinchao
doaj   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

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