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.
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Rico Sennrich
New Research Flips the Script on CAT Tools — Literally
November 2020 paper by University of Zurich and Lilt researchers measures how text presentation impacts translation quality via three tasks: copying, identifying errors, and revision.
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.
Facebook Patents Alternative to ‘Expensive’ BLEU
Facebook has been granted a patent for its machine translation quality evaluation system, which relies on user engagement data to decide which translation users prefer.
Google, Microsoft, Baidu Step Up NMT Research in Record August as BLEU Takes Heat
August 2018 became the busiest month ever for neural machine translation research as more papers call for improved evaluation methods and big tech companies step up the number of submissions.
In Human vs. Machine Translation, Compare Documents, Not Sentences
Microsoft’s “human parity” claims drew skepticism from a team of neural machine translation researchers as they found that much of the research and industry community is looking at the problem from the wrong angle.
Google, Facebook, Amazon: Neural Machine Translation Just Had Its Busiest Month Ever
Research into neural machine translation in 2018 is exploding, with April 2018 being the busiest month ever for NMT, as Big Tech companies from Google to Facebook to Amazon go full throttle on multiple areas of research.
Slator Neural Machine Translation Report 2018
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018.
In Research, Neural Steamrolls Statistical Machine Translation
Research into statistical machine translation is fast falling out of favor among the research community as the number of papers published on neural machine translation skyrockets in 2016.
How BLEU Measures Translation and Why It Matters
When Google’s CEO goes on stage and measures translation accuracy to the third decimal place, it is as good a time as any to take a closer look at the yardstick he uses. A short introduction to BLEU
Hyperbolic? Experts Weigh In on Google Neural Translate
Google’s live production deployment of neural machine translation sets a milestone for language translation. A dozen of the world’s leading MT experts provide perspective on the roll-out and Google’s Mike Schuster responds to charges of overstating quality improvements.
How Neural Machine Translation Can Unlock Europe’s Digital Single Market
Overcoming the language barrier is one of the most important roadblocks to the creation of a functional Digital Single Market in Europe. Rapid advances in machine translation based on neural networks hold a key to unlocking e-commerce worth tens of billions of euros.
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