Sentence examples for language requests from inspiring English sources

One unique thing about Penny is that the app only lets you send pre-populated messages, not natural language requests.

LG's HomeChat appliances communicate with their users via Line, a popular chat app in Asia, and are designed to understand natural language requests.

Watson is designed to "understand" natural language requests and then access vast quantities of unstructured data to find the best answers to questions.

"The Synqq platform understands such natural language requests as 'Add a note,' 'Share a note,' 'Create a meeting,' or 'When was my last meeting with Bob?,'" Sunkara explained.

And once these were all tied together, Zuckerberg also had to build a way to translate natural language requests made as though you were talking too another person into commands that could operate all of the above.

While we originally touted this as one of Penny's downsides, the recent explosion of chat-based bots (most of which are terrible at parsing a user's natural language requests) now helps explain why pre-populated messages may actually be beneficial to the user.

Washington acquired Lucas's Southern accent, and Crowe practiced to match Roberts's manner of speaking and body language, requesting tape recordings of Roberts to assist in his preparation.

It's my read that by combining the suggestion above for banks with local branches with the tenets of the current ordinance draft language requesting distilled data into zip codes there's plenty of wiggle room for presentation of evidence of local involvement by these larger institutions, even those that do not have physical branches in the region.

SRI International's software venture, called Siri, is more ambitious, in that it allows users to speak or write natural-language requests into the device ("Find me a place to eat dinner tonight with Karen, reserve a table and put it on our calendars")., which will complete the task independently and inform you when it is done.

Hennepin County Medical Center in Minneapolis has 140 full- and part-time interpreters who speak 23 languages (Spanish, Somali and Hmong are the most common languages requested).

Findings are presented in six themes which emerged during the analysis – formulating responses; turn-taking; back-channelling, fillers and hesitation; vague language; mitigating requests and politeness and praise.