“The summarization technology used is a lot like those that summarize news articles, except it’s been designed specifically for chats. The assistant uses NLP (natural language processing) technologies to understand what’s being said, and looks for specific topics being discussed – including those that have the most replies – in order to determine what to summarize for you.”
For summarizing and translating the messages you might have missed while gone, it also sends pre-programmed birthday wishes or a “Do not disturb” message when you are not available.
The Alibaba Institute of Data Science Technology (iDST) partnered with Zhejiang International Studies University to create a AI based system able to mark short essays written in Chinese.
“The system was able to identify errors in the essays, including redundant words, wrong word selection, missing words and wrong word order. […] It was tested on essays written by non-native Mandarin speakers as there were more chances for it to catch grammatical errors compared to essays written by native speakers.”
Alibaba predicts this technology could be used in automatic marking systems, assisted teaching and could even be used for proofreading by publishing companies.
Source: SOUTH CHINA MORNING POST
By 2025, the global chatbot market is expected to reach $1.23 billion and will considerably decrease costs for enterprises.
“In the coming year, enterprises will adopt strategic and unique ways to weave AI into their day-to-day interactions and automate conversations for maximum efficiency.”
2017 was erroneously expected to be the year chatbots would spread around all workplaces, but only now are we starting to see companies take them seriously.
Source: VENTURE BEAT
This article is part of our Weekly Roundup, where we provide you with the latest news on Localization, Translation, and Language. For questions or comments, please click here.