ksavenkov
Machine Translation systems compared (June 2019)
Intento builds a universal AI gateway
Re:Google and IBM still trying desperately to move cloud market share ...
on Thursday February 14, 2019 @02:34AM (#19160279)
You may check this Single API to a bunch of visual recognition services, in case you still need it: https://inten.to/api-platform/ai/image/tagging
Fresh evaluation of Machine Translation (23 systems, 48 language pairs)
Domain-Adaptive Neural Machine Translation (report, November 2018)
Web app to access multiple Machine Translation engines (all of them)
Re:Ask HN: What is the best Twitter sentiment analysis tool for a smal...
on Tuesday October 09, 2018 @11:43PM (#18181789)
Hey, check out our report here: https://bit.ly/sa_overview
You may use all SA models mentioned in this report using our AI gateway https://github.com/intento/intento-api/blob/master/ai.text.s...
19 Machine Translation engines compared for 48 language pairs
Cloud Sentiment Analysis – Vendor Overview (April 2018)
State of the Machine Translation by Intento (March 2018)
Berkeley SkyDeck announces 16 startups for its Spring 2018 cohort
Measuring API Developer Experience
NLU API Evaluation (Lex, LUIS, Watson, API.ai, Wit.ai, Recast, Snips)
Machine Translation Benchmark study
Price Comparison for Machine Translation
Your personal assistant doesn’t need any chatbots – or does it?
Re:API Discovery: Can we do better?
on Monday November 21, 2016 @03:53PM (#13009102)
Google supports around seven Schema.org entity types (https://developers.google.com/search/docs/guides/mark-up-con...). I think they look at the user segments and people looking for APIs is not their main audience. Especially nowadays when AI and data science is much cooler than just software engineering ;-)