BIS Tech Talk

1. Neural Machine
Translation
Mitchell Wong

2. What is NMT?
• A deep learning system within
linguistic technology that
achieves a breakthrough in
language fluency.
• A more accurate translating
system that works at fluent/
near-fluent levels.
• Any written communication can
be translated quickly and
accurately into multiple target
languages.
• Works best with technical nature.

3. How does NMT work?
• Looks at the entire input sentence based on context and language
patterns, rather than translating each individual word or phrase.
• Uses soft-alignment processing, similar human intuition, to create
more reliable, accurate translations.
• Compares the text to a large data set of other translations.

4. Why need a NMT System?
• The connectivity of the Internet
has lead to a global economy.
• Emails, web pages, and mobile
apps have increased
communication of ideas and
products.
• Internet is making the world
smaller and language is a large
part in it.
• Removes language barrier, one of
primary obstacles in international
business.

5. The Effect on Smaller Businesses
• Before NMT, translating documents
and business communications
required a lot time and manpower.
• These resources are limited to larger
international firms.
• With NMT, not meant to restricted to
large corporations.
• the technology is more available due to the
reduction of cost.
• Smaller businesses can grow their market
potential reach.
• Address clients and investors abroad.

6. Source
• Charles, Jeff. “What Small Businesses Should Know About Neural
Machine Translation.”Small Business Trends, Small Business
Trends, 26 May 2017, smallbiztrends.com/2017/05/neural-
machine-translation-small-business.html.