Sherlock

Shameless plug: if you’re looking for natural language date parsing, check out Sherlock.js - https://github.com/neilgupta/Sherlock Otherwise, definitely try native APIs first for straightforward date manipulation.

OP, this is a gorgeous date picker with some clever ideas. Great work! As others have noted, clever ideas do mean there’s a learning curve which is not ideal for something like a date picker. However, if this were in an app I use very regularly, I personally wouldn’t mind the initial learning curve for a more efficient input. I see a lot of requests in this thread for just typing the date. I agree that natural language input like Fantastical is the best experience. I built an open-source NLP date parsing library[1] so I have a lot of interest in this, but even I’ll admit the reason it’s not more common is that internationalization is extremely difficult when dealing with user input. There are 100 ways an English speaker might enter a date, and 20000 ways an international user might. Depending on your user base, it’s often easier to just u

My top 2 are: 1) Sherlock, a JavaScript natural language parser for entering events that I hacked the bulk of in a particularly productive all-nighter many years ago. https://github.com/neilgupta/Sherlock 2) Exceptionally, a super simple Rails API exception handling library that is tiny but has proven very useful on every project I've worked on. https://github.com/neilgupta/exceptionally

Very nice. Would love to see versions in other programming languages. I'm very interested in examples that extrapolate this idea to other areas of programming and even math. And also work in the reverse direction. Most of the examples I've found are old or not open source. another example of english to regex: https://people.csail.mit.edu/regina/my_papers/reg13.pdf https://arxiv.org/abs/1608.03000 English to dates https://github.com/neilgupta/sherlock English to a graph (network representation) https://github.com/incrediblesound/MindGraph C to English and vice versa http://www.mit.edu/~ocschwar/C_English.html English to python: http://alumni.media.mit.edu/~hugo/publications/papers/IUI200... English to database queries http://kueri.me/

If you're looking for a library that could handle that sentence, check out https://github.com/neilgupta/sherlock :) nlp-compromise definitely does way more, but in NLP, it helps to be domain-specific.

Hmm this example is interesting: nlp.person("Tony Hawk").pronoun(); // 'he' I was curious how it handled gender neutral names, since being able to identify gender from a name would be an awesome UX win. I tried a variety of different names, and for gender neutral names (ie "Alex" or "Taylor"), it always picked "he". If it doesn't recognize the name (ie "Alexa"), it returns "they". Unfortunately, it only recognizes very standard American names. Anything remotely ethnic (ie "Anjali") or slightly uncommon (ie "Nate") results in a "they". Not picking on the library, since this would be an impossible task even for a human, but it seems odd to have used pronoun identification as one of the headline examples. Anyway, awesome library overall. This could pair well with a dedicated date parsing library like Sherlock[1] to create some prett