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Home Machine Learning

Data for Machine Learning Gets a New Lease on Language

January 9, 2020
in Machine Learning
Data for Machine Learning Gets a New Lease on Language
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InVimage
by Venga Global creates clean data sets for annotation of text within images

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San Francisco, CA – Venga has released its third solution in its rapidly growing
suite of products for Natural Language Processing (NLP) Data Collection. The
new addition to the family is InVimage – a cloud-based solution for
annotating text within images. With each annotation, we automatically capture
the X and Y coordinates, OCR (Optical Character Recognition) the annotation and have the option to machine or manually
translate the captured text. 

Through our
Human-in-the-Loop step, both the OCR and translation text can be reviewed and
edited. This ensures Venga’s clients receive the cleanest datasets possible for
their training models. InVimage was built with scalability in mind and
can handle hundreds of thousands of images daily.

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At the beginning of
2019, Venga released a completely redesigned version of our first solution InVtext,
a solution that eliminates many of the quality issues that have plagued
data set text translation. This was followed shortly by  InVvoice
that summer which simplified the management and translation of voice data.

 “It has been a
busy year for us”
, says Chris Phillips
(COO), who designed and architected the Product Suite. “Our data collection
work has grown exponentially and we have had to scale our supply chain and
development efforts accordingly. We’ve built those tools into a platform
offering more options for our clients and resources. We are planning further
growth and continuous development in 2020.”
 

Venga started working on
data collection projects back in 2017. Some of the larger data collection
buyers were not getting the improvements expected in their models from other
providers and wanted to test Venga is this field. Venga is the first to admit
it wasn’t smooth sailing and suffered from delivery issues early on but learned
very quickly and overcame many of the challenges that were causing models to
stagnate in their development.  

“We paid attention to
our clients’ needs and invested heavily in our Supply Chain, quality, and
technology. The effect was that our clients kept sending more and more data to
us as a result of their machine learning improvements. As we scaled, we found
that the traditional technology used in the language industry caused supply
chain, quality, and delivery issues and needed to be adapted. 

When working with 130 language
pairs and well over 1,000 linguists, your processes must be on point. If
technology is causing problems, people get frustrated, pull out from projects,
or find ways to cut corners. 

We gathered our internal
expertise and went through every pain point with a fine comb. Then we designed
solutions that were up to the tasks. Our systems have been put to the test with
the volumes we have processed this year and we haven’t had a single complaint
or drop out due to technology.
” continued Chris.

The three data tools
InVtext, InVvoice, and InVimage have been designed based on specific customer
needs but are flexible enough to adapt to project-specific requirements.

When asked about Venga’s
2020 plans Chris concluded, “We have now succeeded in delivering the key
points for large scale NLP data collection. These include data integrity,
adherence to researchers’ rules, working with low resource languages, simple
UX, and ability to work in the cloud with low internet speeds. 

Our current solutions
are tried and tested so now we can focus on customizations and can move
development resources onto other interesting projects for our clients. We are
currently talking to two clients about new solutions for text annotation and
creative ways to collect colloquial conversation audio so we are expecting an
interesting 2020 for sure.”
 

ABOUT VENGA GLOBAL

With expertise in translation, localization, and
creative services in over 100 languages, Venga partners with clients to support
their global ambitions.

They follow a strategy of building robust
programs for continuous translation and localization for enterprise clients.
These programs are supported by an agile production team, an innovative tools
and technology approach, a specialized supply chain, and an ISO-certified quality
assurance team.

Clients can expect a long-term and transparent
partnership. Venga is committed to continuous improvement and supporting our
client’s accelerated growth and localization maturity.

For more information about Venga,
please visit their website at www.vengaglobal.com

MEDIA
CONTACT:

Stephanie Harris

Venga Global

+1 415 738-7705

media@vengaglobal.com

www.vengaglobal.com

Credit: Google News

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