compromise

I’m not sure how much my suggestions answer your original question, but in the pursuit of proper grammatical structure when trying to rewrite speech, compromise [0] might be of use to you. I’ve only played around with it for a few hours at most, but from my limited experience it is a very effective (if verbose and/or a little bloated in it’s API) tool for language analysis. With some tomfoolery I’m confident you could combine it with the GP’s recommendation of alexjs to replace strings slightly-less-naively. [0] https://github.com/spencermountain/compromise

Hi HN, In an attempt to learn more about web dev, I've committed to shipping something every month of this year. And since we're in January, early enough for new year resolutions to still be kept, here's my first project. Smigster[1] lets you type a few words and composites them onto a random royalty-free photo in an attempt to match the contents of the text to the photo. Sometimes it works, sometimes it doesn't. It uses compromise[2] to extract topics, nouns, etc. from the text and runs a search on Unspash[3] based on a random term to get a photo. It's a toy more than anything else, but it's been incredibly valuable for me to go through this process. I hope you enjoy it, and if you have any feedback, comments, or feature requests, I'd love to hear about it. [1] https://smigster.com [2] https://github.com/spencermountain/compromise [3] ht

It was primarily: https://github.com/spencermountain/compromise I thought about doing more intelligent language parsing, but figured for what I was looking to accomplish, this would do. Then I made a collection of his "trumpisms" -- such as https://www.cnn.com/2017/04/21/politics/donald-trump-preside... and injected the noun.

There are a lot of busybodies on Github, sometimes these go viral on Twitter and other locations for the heated discussions. Here's a small collection of various levels of offence. Some are merely polite requests and some are "horribly offended". I think one or two of them may even be concern trolls but that doesn't matter since they still got the changes made. There are a few hundred other examples to pull from, these are just a few I chose at random while trying to select ones that are more about the code, or terms used in the code, than contributors or maintainers of the code. [0] https://github.com/WICG/feature-policy/issues/150 [1] https://github.com/NARKOZ/hacker-scripts/pull/152 [2] https://github.com/Droogans/unmaintainable-code/pull/20 [3] https://github.com/braydie/HowToBeAProgrammer/issues/68 [4] https://github.com/spencermount

I've used nlp-compromise.js for building an ecommerce shopping assistant bot. It's a bit rough around the edges but works most of the time. Demo: http://nlp-compromise.github.io/website/ Github: https://github.com/nlp-compromise/nlp_compromise

Check out the docs. It is chock full of them. https://github.com/nlp-compromise/nlp_compromise/blob/master...

Totally agree, that was poor phrasing on my part. I meant if it was theoretically possible somehow, it would be awesome, but agree that it is impossible even if the name "Tony". I think this issue on the nlp-compromise project sums it up nicely: https://github.com/nlp-compromise/nlp_compromise/issues/117

Perhaps I am misunderstanding the example but isn't the date parsing result from the API documentation incorrect. nlp.value("I married April for the 2nd time on June 5th 1998 ").date() // [Date object] d.toLocaleString() -> "04/2/1998" https://github.com/nlp-compromise/nlp_compromise/blob/master...