Results 131 to 140 of about 4,478,538 (365)
TRANSLATION SYSTEMS AND MACHINE TRANSLATION
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 +2 more sources
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang+10 more
wiley +1 more source
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+2 more
doaj +3 more sources
Neural Machine Translation of Spanish-English Food Recipes Using LSTM
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+5 more
doaj +1 more source
Evaluation of Hindi to Punjabi Machine Translation System [PDF]
Machine Translation in India is relatively young. The earliest efforts date from the late 80s and early 90s. The success of every system is judged from its evaluation experimental results.
Goyal, Vishal, SINGH LEHAL, Gurpreet
core +1 more source
Unsupervised Statistical Machine Translation [PDF]
While modern machine translation has relied on large parallel corpora, a recent line of work has managed to train Neural Machine Translation (NMT) systems from monolingual corpora only (Artetxe et al., 2018c; Lample et al., 2018). Despite the potential of this approach for low-resource settings, existing systems are far behind their supervised ...
Artetxe Zurutuza, Mikel+2 more
openaire +4 more sources
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran+16 more
wiley +1 more source
Neural machine translation of chemical nomenclature between English and Chinese
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+5 more
doaj +1 more source
Can neural machine translation do simultaneous translation? [PDF]
We investigate the potential of attention-based neural machine translation in simultaneous translation. We introduce a novel decoding algorithm, called simultaneous greedy decoding, that allows an existing neural machine translation model to begin translating before a full source sentence is received.
arxiv
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