Apac
  • Home
  • CXO Insights
  • CIO Views
  • News
  • Conferences
  • Newsletter
  • Whitepapers
  • About us
Apac
  • Admired Tech

    Agile

    AI Healthcare

    Artificial Intelligence

    Augmented Reality

    Aviation

    Big Data

    Blockchain

    Cloud

    Cryptocurrency

    Cyber Security

    DevOps

    Digital Transformation

    Drone

    HPC

    Infrared

    Internet of Things

    IT Services

    Marine Tech

    Networking

    PropTech

    Remote Work

    Robotics

    Scheduling Software

    Sensor Tech

    Simulation

    Smart City

    Software Testing

    Startup

    Storage

    Unified Communication

    Web Development

    Wireless

  • Automotive

    Banking

    Capital Market

    Construction

    E-Commerce

    Education

    FinTech

    Food and Beverages

    Gov and Public

    Healthcare

    Insurance

    Legal

    Logistics

    Manufacturing

    Media and Entertainment

    Metals and Mining

    Pharma and Life Science

    Retail

    Sports

    Travel and Hospitality

  • CISCO

    Google

    IBM

    Microsoft

    Oracle

    Salesforce

    SAP

    ServiceNow

  • Business Intelligence

    CEM

    Cloud-based Planning

    Cognitive

    Collaboration

    Compliance

    Contact Center

    Contact Tracing

    Contactless Payments

    Corporate Finance

    CRM

    Custom Software Development

    Data Center

    Digital Signage

    Enterprise Architecture

    Enterprise Asset Management

    Enterprise Communications

    Enterprise Contract Management

    Enterprise Performance Management

    ERP

    Facility Management

    Field Service

    Fleet Management

    Gamification

    HR Technology

    IT Infrastructure

    IT Service Management

    Managed Services

    PLM

    Procurement

    Product Management

    Project Management

    RegTech

    Revenue Management

    Sales Tech

Menu
    • CISCO
    • Collaboration
    • Compliance
    • Contact Center
    • Healthcare
    • IT Service Management
    • Microsoft
    • Retail
    • MORE
    #

    Apac CIO Outlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIO Outlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • News
    • Artificial Intelligence
    Editor's Pick (1 - 4 of 8)
    left
    The Right Technology And Reliable Partners; The Business Next Frontier

    Luke O'Brien, CIO, ISS Facility Services Australia & New Zealand

    Conquering Technological Transformation

    David Kennedy, Group CIO, Transaction Services Group

    How to Get to AI-first

    Ani Paul, CIO, ING Australia

    Legal Knowledge Management and the Rise of Artificial Intelligence

    Christopher Zegers, CIO, Lowenstein Sandler LLP

    Building an AI-Based Machine Learning for Global Economics

    Alexander Fleiss, CIO & CEO, Rebellion Research Partners LP

    Changing the tester DNA -From tester to Software Development Engineer in Test (SDET)

    Bernd Bornhausen, Senior Manager QA, TD Insurance [NYSE: TD]

    Booming Digital Healthcare Industry Post-COVID

    Utpal Chakraborty, AI Researcher, Head of Artificial Intelligence at YES Bank

    Winning in the Race of Efficiency: Semi Plug & Play AI Services

    Pooyan Asgari, Chief Data Officer, Domain Group

    right

    AI-Driven Neural Machine Translation Stealing the Show

    By Apac CIO Outlook | Saturday, December 14, 2019
    Tweet

    NMT is the latest one that uses machine learning (ML) and continuously updates itself. As a result, it is increasingly being incorporated in the translation machines.

    FREMONT, CA: On average, a human requires 480 to 720 hours of practice, depending upon the difficulty level, to gain basic fluency in a language. Simplifying it, if a person spends two hours a day, it will take him around eight to twelve months to achieve the same. Google Translate is a popular website that can translate between 100 different languages instantly. What is it that enables it with such a capability? The underlying technology is called Machine Translation.

    Based on increasing levels of advancements, there are a few variations of machine translation: Rule-Based Machine Translation (RBMT), Statistical Machine Translation (SMT), Example-Based Machine Translation (EBMT), and Neural Machine Translation (NMT). Of these, NMT is the latest one that uses machine learning (ML) and continuously updates itself. As a result, it is increasingly being incorporated in the translation machines.

    Neural Machine Translation (NMT) Powered with ML

    NMT infrastructure is based on the paradigm of ML. It uses neural networks consisting of nodes that are conceptually modeled after the human brain. The nodes can hold phrases, single words, or longer sentences and complement each other based on bilingual texts used to train the system. The algorithm in the application uses deep learning where massive datasets of translated expressions are utilized for training a model which is capable of translating between two languages.

    Working of an NMT

    NMT works cohesively to improve its performance, unlike the traditional methods of machine translation. It employs vector representations for words which transcripts the words into a vector representing it through a unique magnitude and direction. It uses a bidirectional recurrent neural network or the encoder to process the inputted sentence to vectors for the following neural network, or the decoder, which predict words in the target language.

    Applications of NMT

    One of its most popular applications is projected in Google Translate. The website uses Google NMT to increase fluency and accuracy. The system incorporates a large set of data for training its algorithms while its end-to-end design helps the system to improve over time, thereby producing better and more natural translations.

    Check Out : Review | CIOReview

    tag

    Machine Learning

    Weekly Brief

    loading
    ON THE DECK

    Content Management System 2020

    Top Vendors

    Contactless Payments 2020

    Top Vendors

    Admired Tech 2020

    Top Vendors

    Previous Next

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Read Also

    Popular E-Commerce Growth Trends in 2021

    Popular E-Commerce Growth Trends in 2021

    Four Reasons to Implement Cloud Managed Services

    Four Reasons to Implement Cloud Managed Services

    Leveraging CRM to Transform Leads Into Customers

    Leveraging CRM to Transform Leads Into Customers

    Major IoT Software Implementation Challenges

    Major IoT Software Implementation Challenges

    Key Advantages of Using Smart Home Technologies

    Key Advantages of Using Smart Home Technologies

    The Relevance of LMS in Education

    The Relevance of LMS in Education

    Loading...

    Copyright © 2021 APAC CIOoutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy  |  Sitemap |  Subscribe

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://www.apacciooutlook.com/news/aidriven-neural-machine-translation-stealing-the-show-nwid-6626.html