Results 61 to 70 of about 240,752 (266)

Handling Homographs in Neural Machine Translation

, 2018
Homographs, words with different meanings but the same surface form, have long caused difficulty for machine translation systems, as it is difficult to select the correct translation based on the context.
Liu, Frederick, Lu, Han, Neubig, Graham
core   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

FEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga, Toshiki Takahashi, Akiko Kuma, Hiroyuki Kawahara   +3 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, Rodríguez Fonollosa, José Adrián, Ruiz Costa-Jussà, Marta   +2 more
core  

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

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Residual Information Flow for Neural Machine Translation

IEEE Access, 2022
Automatic machine translation plays an important role in reducing language barriers between people speaking different languages. Deep neural networks (DNN) have attained major success in diverse research fields such as computer vision, information ...
Shereen A. Mohamed, Mohamed A. Abdou, Ashraf A. Elsayed   +2 more
doaj   +1 more source

Unsupervised Multi-Modal Neural Machine Translation [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Accepted to CVPR ...
Su, Yuanhang, Fan, Kai, Bach, Nguyen, Kuo, C. -C. Jay, Huang, Fei   +4 more
openaire   +2 more sources

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Controlled beam search for neural machine translation using subword units leveraging phrase-based statistical machine translation outputs

Discover Computing
The decoding phase is a crucial component in machine translation systems, alongside the creation of the model. Beam search is the most commonly used algorithm for decoding in these systems.
Emre Satir, Hasan Bulut
doaj   +1 more source

Statistical Machine Translation Features with Multitask Tensor Networks

, 2015
We present a three-pronged approach to improving Statistical Machine Translation (SMT), building on recent success in the application of neural networks to SMT.
Devlin, Jacob, Huang, Zhongqiang, Lamar, Thomas, Makhoul, John, Schwartz, Richard, Setiawan, Hendra, Zbib, Rabih   +6 more
core   +1 more source