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* Fix regressions from #2683
Properly format spoiler text HTML, while keeping old logic for blankness intact
Process hashtags and mentions in spoiler text
Format spoiler text for Atom
Change "show more" toggle into a button instead of anchor
Fix style regression on dropdowns for detailed statuses
* Fix lint issue
* Convert spoiler text to plaintext in desktop notifications
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Compact Language Detector v3 (CLD3) is the successor of CLD2, which was
used in the previous implementation. CLD3 includes improvements since CLD2,
and supports newer compilers. On the other hand, it has additional
requirements and cld3-ruby, the FFI of CLD3 for Ruby, is still new and may
be still inmature.
Though CLD3 is named after CLD2, it is implemented with a neural network
model, different from the old implementation, which is based on a Naïve
Bayesian classifier.
CLD3 supports newer compilers, such as GCC 6. CLD2 is not compatible with
GCC 6 because it assigns negative values to varibales typed unsigned.
(see internal/cld_generated_cjk_uni_prop_80.cc) The support for GCC 6 and
newer compilers are essential today, when some server operating system
such as Ubuntu Server 16.10 has GCC 6 by default.
On the one hand, CLD3 requires C++11 support. Environments with old
compilers such as Ubuntu Server 14.04 needs to update the system or install
a newer compiler.
CLD3 needs protocol buffers as a new dependency. However,it is not
considered problematic because major server operating systems, CentOS and
Ubuntu Server provide them.
The FFI cld3-ruby was written by me (Akihiko Odaki) for use in Mastodon.
It is still new and may be inmature, but confirmed to pass existing tests.
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* add failing en specs
* add cld2 gem
* Replace WhatLanguage with CLD
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This reverts commit 5135d609b774b177d3d3894b176a822d86b73d3c.
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* Add html lang attributes around statuses
* Remove urls from language detection
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* Add missing fields group on preferences page
* Clean up settings/preferences controller
* Extract a UserSettingsDecorator
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* fix character escaping in URL
* add tests
* put a comma after the last item
* add HTML escape test
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* Extract detect_language to separate class
* Use default locale, not just en
* Add spec to confirm that whatlanguage cant identify empty string
* Allow account locale to override default in language detector
* PostStatusService supplies an account to detect language
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* Add WebfingerResource class to extract usernames
* Use WebfingerResource in xrd#webfinger
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StreamEntry model. Simply render Salmon slaps as they are needed
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notifications API
Try to fix Travis CI setup
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affected, replaced onClick handler with onMouseUp/Down to detect text
selection not trigger onClick handler then
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to sign in page after sign up instead of root path which redirects to /about
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as well as formatting of content
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