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swift-doc is available to try out today, both as a command-line utility and a
@GitHub Action. Please take a look when you have a chance, and let me know what you think!
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With SwiftSemantics, I was able to build tools I'd been thinking about for years in just a few hours. For example, a utility that prints a package's public-facing APIs on separate lines (allowing you to diff for changes between versions) https://github.com/SwiftDocOrg/swift-doc#swift-api-inventory …pic.twitter.com/7dsyN0inh5
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Actually, the CommonMark package I wrote for SwiftMarkup is pretty cool in its own right — especially with the function builder interface I added to it over the weekend. For your consideration for anyone in market for Markdown-related functionality. https://github.com/SwiftDocOrg/CommonMark …pic.twitter.com/cyb59w9MEY
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SwiftMarkup is the other key player in swift-doc. It parses documentation comments into structured entities. https://github.com/SwiftDocOrg/SwiftMarkup …pic.twitter.com/drFoSejJ6J
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swift-doc's secret sauce is a package called SwiftSemantics, which builds on top of SwiftSyntax to provide a conventional, document-oriented interface to reasoning about declarations in Swift code. https://github.com/SwiftDocOrg/SwiftSemantics …pic.twitter.com/dbFefRr9ZZ
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One of the distinguishing features of swift-doc is that it operates on Swift code at a syntactic level, without first compiling it. 2 primary effects: 1. Operational Simplicity: It can be installed both macOS and Linux as a standalone binary 2. Speed: It's fastpic.twitter.com/DCfWQsPeT5
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Introducing swift-doc: an (experimental) command-line utility for generating documentation for Swift projects. https://github.com/SwiftDocOrg/swift-doc … It's still early on, but I'm really excited about the infrastructure behind it, and how it can be used to develop Swift tooling.

pic.twitter.com/mu71vkZGVe
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I understand why this kind of information isn't provided in the documentation, but it'd be nice to know these limitations up front. Anyway, I hope that this information is useful to anyone working in this space. Happy to try and answer any questions you might have.
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I was also surprised to see how limited NaturalLanguage support is on tvOS. Everything except English has only basic functionality, and even that is missing lemmatized forms and sentiment.
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My biggest takeaway was that Apple's built-in NLP features are a nonstarter for East-Asian languages. If you want to make an app that, for example, parses Japanese text, you'll need to incorporate something like MeCab (https://en.wikipedia.org/wiki/MeCab )
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Summary of my findings: - English, French, German, Italian, Portuguese, Spanish support all NLTagger schemes - Russian and Turkish support all except sentiment - All other languages support only language / script detection and tokenization
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For those of you curious to know which languages are supported for these NLP tools, I wrote up a quick script to generate a support matrix here (with results for macOS, iOS, and tvOS): https://gist.github.com/mattt/36357b7ffe9370d6fc573088aed0d1f5 …https://twitter.com/mattt/status/1216805113957732352 …
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`lemma` provides the lemmatized forms (stems) of words in text. https://github.com/Flight-School/lemma …pic.twitter.com/WRMiWZPG8z
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`sentiment` evaluates natural language text for emotional polarity, producing a value between -1 (most negative), 0 (neutral), and 1 (most positive). https://github.com/Flight-School/sentiment …pic.twitter.com/3gtyzbK1h8
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`sentences` splits text into sentences, printing each on a new line. https://github.com/flight-school/sentences …pic.twitter.com/Xtf3SxboQJ
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`pos` tokenizes natural language into words and tags their part of speech (noun / verb / adjective / etc.) https://github.com/Flight-School/pos …pic.twitter.com/lIQRUEsawj
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`ner` extracts the names of people, places, and organizations from natural language text. https://github.com/Flight-School/ner …pic.twitter.com/hJ4Pj60Iks
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A while back, I published some command-line interfaces to Apple’s NaturalLanguage framework. If you do any text processing on macOS, you might find these tools to be handy:

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Mattt proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Mattt proslijedio/la je Tweet
XCFrameworks for CocoaPods has been merged!
https://github.com/CocoaPods/CocoaPods/pull/9334 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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