Results 71 to 80 of about 418,591 (309)

A Bayesian approach to translators' reliability assessment [PDF]

arXiv, 2022
Translation Quality Assessment (TQA) is a process conducted by human translators and is widely used, both for estimating the performance of (increasingly used) Machine Translation, and for finding an agreement between translation providers and their customers.
arxiv  

TRANSLATION SYSTEMS AND MACHINE TRANSLATION

, 2023
In this article were discussed the relevance of the study is due to the need to clarify the strategies for the implementation of special translation in accordance with the communicative-functional approach to translation. The question of the dependence of the degree to which the content of the text is reproduced in translation depends on the ...
openaire   +1 more source

Limitations of Machine Translation [PDF]

Armenian Folia Anglistika, 2010
Along with technological advancements worldwide there is a growing demand in machine translation as well. With its various and most diverse translation opportunities, computer translation, however, has its disadvantages and restrictions. At the current stage of technological development, translation done by a translator will provide a higher quality ...
openaire   +2 more sources

Generalizing Back-Translation in Neural Machine Translation [PDF]

Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), 2019
Published by Association for Computational Linguistics (ACL), Stroudsburg ...
Graça, Miguel M., Kim, Yunsu, Schamper, Julian, Khadivi, Shahram, Ney, Hermann   +4 more
openaire   +3 more sources

CRISPR targeting of FOXL2 c.402C>G mutation reduces malignant phenotype in granulosa tumor cells and identifies anti‐tumoral compounds

Molecular Oncology, EarlyView.
FOXL2 c.402C>G mutation drives granulosa cell tumors. Using CRISPR technology, we selectively corrected this mutation, reducing malignancy and increasing sensitivity to dasatinib and ketoconazole. Transcriptomic changes revealed potential therapeutic targets, demonstrating CRISPR's promise for treating this rare ovarian cancer.
Sandra Amarilla‐Quintana, Paloma Navarro, Iván Hernández, Alejandra Ramos, Ana Montero‐Calle, Pablo Cabezas‐Sainz, Maria J Barrero, Diego Megías, Borja Vilaplana‐Martí, Carolina Epifano, Déborah Gómez‐Dominguez, Sara Monzón, Isabel Cuesta, Laura Sánchez, Rodrigo Barderas, Jesús García‐Donas, Alberto Martín, Ignacio Pérez de Castro   +17 more
wiley   +1 more source

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

Molecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

Neural Machine Translation of Spanish-English Food Recipes Using LSTM

JOIV: International Journal on Informatics Visualization, 2022
Nowadays, food is one of the things that has been globalized, and everyone from different parts of the world has been able to cook food from other countries through existing online recipes.
Khen Dedes, Agung Bella Putra Utama, Aji Prasetya Wibawa, Arif Nur Afandi, Anik Nur Handayani, Leonel Hernandez   +5 more
doaj   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS.

Journal of ICT, 2017
Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.
Zakaria El Maazouzi, Badr Eddine El Mohajir, Mohammed Al Achhab   +2 more
doaj   +3 more sources

Neural machine translation of chemical nomenclature between English and Chinese

Journal of Cheminformatics, 2020
Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu, Weiming Chen, Junhong Zhou, Jingfang Dai, Yingyong Li, Yingli Zhao   +5 more
doaj   +1 more source