Why Enterprises Fail to Integrate AI and What to Do About It
At SlatorCon Remote December 2020, Intento Co-founder and CEO Konstantin Savenkov discusses alternative pricing models that account for machine translation quality. Continue reading
Tag: NMT
Here Are the Top 10 Most Influential Research Papers on Neural Machine Translation
The most-cited neural machine translation research papers show how NMT came to dominate the field — and how academia and industry’s interests have evolved. Continue reading
Dodging AI Biases in Machine Translation
Machine translation company Intento uses metadata and MT-agnostic natural language processing to dodge AI biases around gender and tone of voice. Continue reading
MIT Tackles the Ultimate Low-Resource Machine Translation Challenge
MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) derives algorithm to handle lack of training data, making it easier to adopt current machine translation methods. Continue reading
Prospector, the Source English Terminology Extraction Tool, Is Updated
Logrus Global has significantly updated Prospector the terminology extraction tool confirmed as best-in-class by an independent study Continue reading
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Memose TMS: Integration with Intento MT Hub
Memose is a cloud-based translation memory server with CAT-tool functionality Continue reading
Amazon Releases New Iteration of Neural Machine Translation Toolkit Sockeye
Since its 2017 debut, Sockeye has powered Amazon Translate and gathered decent traction elsewhere. The new version adopts Gluon base code and gets a boost from Intel and NVIDIA. Continue reading
Meet the New Owners of MT Provider SYSTRAN
French machine translation provider SYSTRAN has a new owner, STIC Investments. Minority shareholders include SoftBank Korea, others. Plans M&A. Continue reading
Facebook Researchers Say Machine Translation Quality Estimation Lacking
New research suggests biases of QE datasets lead to guesstimates on machine translation quality. Researchers propose modified dataset, debut it at WMT 2020. Continue reading
Salesforce Just Open-Sourced a Large, XML-Tagged Machine Translation Dataset
Salesforce research on speeding up the work of post-editors by training MT engines with XML tags culminates in a 17-language online help dataset published on Github. Continue reading
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Lilt Raised USD 25m Just Before Pandemic Hit
Tech-enabled LSP Lilt raised USD 25m just in time before Covid-19 disruption. CEO Spence Green talks about how they plan to expand within the enterprise and which MT trends excite him most. Continue reading
Cambridge Researchers Tackle Neural Machine Translation’s Gender Bias
A research paper published in April 2020 explores how to reduce gender bias in neural machine translation (NMT) using transfer learning and fine-tuning. Continue reading
How to Fix the 5 Flaws in Evaluating Machine Translation
Group of leading researchers finds that the way machine translation quality is evaluated by humans is broken. Group issues five recommendations on how to fix it. Continue reading
The Masakhane Project Puts Africa on the Machine Translation Map
Over 60 contributors in 15 African countries are gathering data and developing machine translation models to translate the Internet into indigenous languages. Continue reading
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