Apple Proposes New Solution for Multilingual Machine Translation
Apple researchers propose a solution and claim it can improve multilingual machine translation without pivoting and increasing the inference cost.
SlatorCon Zurich is now SOLD OUT — See you on October 4th!
Transformer
Here Are the Language Highlights from the Popular ‘State of AI Report 2022’
Snapshot of the most interesting language technology highlights from the latest edition of the State of AI Report compiled by a group of venture capitalists and researchers.
500-Million-Sentence Dataset Can Boost Machine Translation for Low-Resource Languages
500-million-sentence dataset from Jörg Tiedemann, Professor at University of Helsinki, can improve back translation by centralizing monolingual content for 188 languages.
Yes, Now They Claim Machines ‘Outperform’ Human Translation in Adequacy
A group of AI researchers takes the perennial human vs. machine debate to the next level by claiming their system outperforms professional translators...in news, on adequacy (read on for more caveats).
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.
Researchers Explore Surprising Behavior of Machine Translation
Researchers investigate the unexpected behavior of NMT and find surprising differences in the translations of extremely similar sentences.
Does Google’s BERT Matter in Machine Translation?
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation.
As Neural Machine Translation’s Core Model Seems Settled, Focus Shifts to Products
At SlatorCon London 2019, Systran CEO Jean Senellart outlined the latest in NMT developments, called out some myths from vendors, and pointed out what’s missing from the industry.
Inside Translation, Localization, and NLP on GitHub, the World’s #1 Code Sharing Site
Over two dozen charts and tables and high-level visualizations as well as analysis of GitHub code repositories relevant to the language industry.
Your information will not be shared with third parties. No Spam.