To learn more how Systran
machine translation solutions can streamline your game localization process, be sure to visit their product website.
Bowker and Ciro describe ways that
machine translation is used in the context of scholarly communication, and suggest how to use it more effectively.
AppTek achieved this result by using its unified neural network platform for
machine translation and automated speech recognition to leverage features from each for noise adaptation, vocabulary normalization, punctuation prediction and speaker separation for functionally readable and understandable captions.
However, most of the current, if not future, Neural
Machine Translation services were designed to process information sentence by sentence, without taking the whole text into account.
G Suite Project Manager Vishnu Sivaji explained that
machine translation is used 'to build a model that can incorporate the complexity and nuances of grammar correction.'
Abdul Karim Baryialai said that
machine translation was need of the hour and it would take time to make it ideal and purposeful.
Neural
machine translation represents a groundbreaking model, and the attention mechanism (Bolton et al., 2018; Dicu, 2018; Farber, 2017; Machan, 2017; Mihaila, 2018; Nica et al., 2018; Popescu et al., 2017; Sion, 2018a, b) is the prominent method with the cutting-edge records in numerous language pairs.
All this is possible because of an end-to-end learning system built on Google's Neural
Machine Translation, which basically means that the system learns over time to create better, more natural translations.
Xuedong Huang, a technical fellow in charge of Microsoft's speech, natural language and
machine translation efforts, called it a major milestone in one of the most challenging natural language processing tasks.
According to Arul Menezes, an IIT-Bombay alumni and Partner Research Manager of Microsoft's
machine translation team, the team set out to prove that its systems could perform about as well as a person when it used a language pair -- like Chinese to English -- for which there is a lot of data.