英語 での Neural machine translation の使用例とその 日本語 への翻訳
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All language pairs leverage neural machine translation.
Neural Machine Translation has recently received a lot of hype.
Google and Microsoft both introduced neural machine translation back in November 2016.
Neural machine translation is a recently proposed approach to machine translation. .
The AI program is called‘Google Neural Machine Translation'(GNMT).
State of the art neural machine translation(NMT) in a secure, cloud-based environment.
All supported language pairs are based on state-of-the-art neural machine translation algorithms.
Neural machine translation is a particularly interesting niche field of artificial intelligence.
Google is working on to roll out Neural Machine Translation to all 103 languages.
Neural machine translation is leading the way and achieving new heights in terms of quality and fluency.
All supported language pairs are based on state-of-the-art neural machine translation algorithms.
Leverage neural machine translation to turn your workflow into a productive and cost-effective process.
Baidu itself had published a pathbreaking paper about the possibility of neural machine translation in July 2015.
Neural Machine Translation(NMT) is the new standard for high-quality AI-powered machine translations. .
Google develops a modelincorporating Adversalial Examples to overcome the weakness of neural machine translation.
SDL BeGlobal Datasheet| SDL State of the art neural machine translation(NMT) in a secure, cloud-based environment.
Neural machine translation(NMT) differs from SMT because it uses an artificial neural network(ANN) rather than strict rules.
We propose a simple solution to use a single Neural Machine Translation(NMT) model to translate between multiple languages.
Neural machine translation is a recently proposed framework for machine translation based purely on neural networks.
Request a Live Demo of SDL ETS| SDL Ready to seehow you can easily bring powerful neural machine translation to your corporate network?
Et al.: Google's neural machine translation system: bridging the gap between human and machine translation. .
You may remember that back in September, Google announced that its Neural Machine Translation system had gone live.
Amazon Translate is a neural machine translation engine which is well suited to localizing high volume projects, such as websites or applications efficiently.
We propose a simple, elegant solution to use a single Neural Machine Translation(NMT) model to translate between multiple languages.
Neural Machine Translation(NMT) is a new approach that makesmachines learn to translate through one large neural network(multiple processing devices modelled on the brain).
SDL Enterprise Translation Server(ETS) uses state-of-the-art proprietary neural machine translation to accelerate globalization of content intensive business processes.
Recently proposed neural machine translation models often belong to the encoder-decoder family in which a source sentence is encoded into a fixed length vector that is, in turn, decoded to generate a translation. .
Typically statistical systems deliver more fluent-sounding butless consistent translations. Neural Machine Translation(NMT) is a new approach that makesmachines learn to translate through one large neural network multiple processing devices modeled on the brain.
Today, we announce the google neural machine translation system(gnmt), which utilizes state-of-the-art training techniques to achieve the largest improvements to date for machine translation quality.
The models proposed recently for neural machine translation often belong to a family of encoder-decoders and consists of an encoder that encodes a source sentence into a fixed-length vector from which a decoder generates a translation. .