Adam Bittlingmayer

Industry News, SlatorCon • By Marion Marking On 23 Sep 2022

At SlatorCon Remote, What to Focus on Amid All the ‘Wait and See’

SlatorCon Remote September 2022 saw the biggest percentage of buy-side participants of any SlatorCon to date. Here are the highlights.

Machine Translation • By Seyma Albarino On 18 Jan 2022

Google Research Brings ‘Massively Multilingual’ Machine Translation to 200+ Languages

How necessary is parallel data for improving machine translation quality for low-resource languages? Google researchers scale model with ‘pragmatic approach.’

Machine Translation • By Seyma Albarino On 9 Jun 2021

As Machine Translation Gains Ground, It Taints Training Data — New Research Shows

Is machine translation trained mostly on...machine translation? Research sparks discussion among MT experts. Quality issues found to be likely worse for non-English pairs, low-resource languages.

Machine Translation • By Seyma Albarino On 22 Mar 2021

Is TensorFlow ‘for Boomers’? PyTorch May Gain More Ground in Machine Translation

Developers praise PyTorch, Facebook’s open source framework, for its flexibility, speed, and usability. But the machine translation world is not ready to dethrone TensorFlow just yet.

Machine Translation • By Esther Bond On 18 Jul 2019

What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?

New research by Google AI explores multilingual NMT on an unprecedented scale. Good for low-resource languages, less so for the rest, results show.

Natural Language Processing • By Florian Faes On 21 Feb 2019

How Language Featured at the 2019 Applied Machine Learning Days

Language industry startups Unbabel and Lilt took to the stage at one of Europe’s largest machine learning conferences and explained how they build atop evermore sophisticated AI tech.

Adam Bittlingmayer

At SlatorCon Remote, What to Focus on Amid All the ‘Wait and See’

Google Research Brings ‘Massively Multilingual’ Machine Translation to 200+ Languages

As Machine Translation Gains Ground, It Taints Training Data — New Research Shows

Is TensorFlow ‘for Boomers’? PyTorch May Gain More Ground in Machine Translation

What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?

How Language Featured at the 2019 Applied Machine Learning Days

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