Results 71 to 80 of about 221,770 (298)
Multi-Source Neural Translation
, 2016 We build a multi-source machine translation model and train it to maximize the probability of a target English string given French and German sources. Using the neural encoder-decoder framework, we explore several combination methods and report up to +4 ...
Knight, Kevin, Zoph, Barret
core +1 more source
Context Gates for Neural Machine Translation [PDF]
Transactions of the Association for Computational Linguistics, 2017 In neural machine translation (NMT), generation of a target word depends on both source and target contexts. We find that source contexts have a direct impact on the adequacy of a translation while target contexts affect the fluency. Intuitively, generation of a content word should rely more on the source context and generation of a functional word ...
Zhengdong Lu +4 more
openaire +4 more sources
Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Neural Machine Translation into Language Varieties
, 2018 Both research and commercial machine translation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among language varieties.
Erofeeva, Aliia +2 more
core +1 more source
Current trends in single‐cell RNA sequencing applications in diabetes mellitus
FEBS Open Bio, EarlyView.Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian +6 more
wiley +1 more source
Neural machine translation using bitmap fonts [PDF]
, 2016 Recently, translation systems based on neural networks are starting to compete with systems based on phrases. The systems which are based on neural networks use vectorial repre- sentations of words.
Aldón Mínguez, David +2 more
core
Liver‐specific lncRNAs associated with liver cancers
FEBS Open Bio, EarlyView.Long non‐coding RNAs (lncRNAs) are regulatory molecules with various functions. They are more tissue‐specific than proteins and can be used as potential biomarkers, particularly in cancer diagnostics and prognosis. In this review, we have systematically compiled all lncRNAs with exclusive expression in the human liver, verified their liver specificity ...
Olga Y. Burenina +3 more
wiley +1 more source
Neural machine translation system for the Kazakh language based on synthetic corpora
MATEC Web of Conferences, 2019 The lack of big parallel data is present for the Kazakh language. This problem seriously impairs the quality of machine translation from and into Kazakh.
Tukeyev Ualsher +2 more
doaj +1 more source
Neural Machine Translation with Word Predictions
, 2017 In the encoder-decoder architecture for neural machine translation (NMT), the hidden states of the recurrent structures in the encoder and decoder carry the crucial information about the sentence.These vectors are generated by parameters which are ...
Chen, Jiajun +4 more
core +1 more source
Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024
FEBS Open Bio, EarlyView.The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior +5 more
wiley +1 more source