Results 231 to 240 of about 47,700 (259)

A Humanized Anti‐gD Broadly Neutralizing Antibody Confers Complete Post‐Exposure Protection against Pseudorabies Virus

Advanced Science, EarlyView.
Pseudorabies virus (PRV), an emerging zoonotic α‐herpesvirus, causes life‐threatening human encephalitis. We identified a broad‐spectrum neutralizing antibody 6F7 targeting PRV gD. It blocks gD‐Nectin‐1 binding and membrane fusion, inhibiting replication across all PRV variants, representing a promising candidate for anti‐PRV therapy.
Yue Sun, Jianbo Liu, Shi‐Jia Xu, Meng‐Xin Wang, Hongliang Zhang, Yanhe Zhang, Zhi‐Jun Tian, Jin‐Mei Peng, Xin Yin, Tong‐Qing An, Xue‐Hui Cai, Yan‐Dong Tang   +11 more
wiley   +1 more source

A lightweight Chinese-English translation model integrating compressed BERT attention and phrase discard mechanism. [PDF]

Front Neurorobot
Qi X, Bao H.
europepmc   +1 more source

Gated transformer with shallow decoder for machine translation. [PDF]

Sci Rep
Li F, Yin F, Deng S, Cui Y, Sun H.
europepmc   +1 more source

From Virtual Molecules to Clinical Trials: How AI Is Reshaping Preclinical Drug Discovery. [PDF]

J Med Internet Res
Cuffari B.
europepmc   +1 more source

Neural Pre-Translation for Hybrid Machine Translation.

, 2017
Du, Jinhua, Way, Andy
openaire   +2 more sources

Interactive neural machine translation [PDF]

Computer Speech and Language, 2017
Despite the promising results achieved in last years by statistical machine translation, and more precisely, by the neural machine translation systems, this technology is still not error-free. The outputs of a machine translation system must be corrected by a human agent in a post-editing phase.
Alvaro Peris, MIGUEL Domingo, FRANCISCO Casacuberta   +2 more
exaly   +3 more sources

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Multilingual Neural Machine Translation

Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts, 2020
The advent of neural machine translation (NMT) has opened up exciting research in building multilingual translation systems i.e. translation models that can handle more than one language pair. Many advances have been made which have enabled (1) improving translation for low-resource languages via transfer learning from high resource languages; and (2 ...
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan   +2 more
openaire   +1 more source

Combining Translation Memory with Neural Machine Translation

Proceedings of the 6th Workshop on Asian Translation, 2019
In this paper, we report our submission systems (geoduck) to the Timely Disclosure task on the 6th Workshop on Asian Translation (WAT) (Nakazawa et al., 2019). Our system employs a combined approach of translation memory and Neural Machine Translation (NMT) models, where we can select final translation outputs from either a translation memory or an NMT
Akiko Eriguchi, Spencer Rarrick, Hitokazu Matsushita   +2 more
openaire   +1 more source