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| author | Joseph Mingrone <jrm@FreeBSD.org> | 2017-04-26 19:33:45 +0000 |
|---|---|---|
| committer | Joseph Mingrone <jrm@FreeBSD.org> | 2017-04-26 19:33:45 +0000 |
| commit | 8a4e16c9ca603cf81bd8c3919d21ebdb0ebf5fa2 (patch) | |
| tree | 93c676982f746bf79a3592048ffb4c6530d5573a /textproc/rubygem-whatlanguage | |
| parent | 2250b4a2bf8ee587b747bfd174e4482c9568f215 (diff) | |
| download | ports-8a4e16c9ca603cf81bd8c3919d21ebdb0ebf5fa2.tar.gz ports-8a4e16c9ca603cf81bd8c3919d21ebdb0ebf5fa2.zip | |
Notes
Diffstat (limited to 'textproc/rubygem-whatlanguage')
| -rw-r--r-- | textproc/rubygem-whatlanguage/Makefile | 19 | ||||
| -rw-r--r-- | textproc/rubygem-whatlanguage/distinfo | 3 | ||||
| -rw-r--r-- | textproc/rubygem-whatlanguage/pkg-descr | 10 |
3 files changed, 32 insertions, 0 deletions
diff --git a/textproc/rubygem-whatlanguage/Makefile b/textproc/rubygem-whatlanguage/Makefile new file mode 100644 index 000000000000..faf74dc4f3e8 --- /dev/null +++ b/textproc/rubygem-whatlanguage/Makefile @@ -0,0 +1,19 @@ +# $FreeBSD$ + +PORTNAME= whatlanguage +PORTVERSION= 1.0.6 +CATEGORIES= textproc rubygems +MASTER_SITES= RG + +MAINTAINER= jrm@FreeBSD.org +COMMENT= Natural language detection for text samples + +LICENSE= MIT +LICENSE_FILE= ${WRKSRC}/LICENSE.txt + +NO_ARCH= yes + +USE_RUBY= yes +USES= gem + +.include <bsd.port.mk> diff --git a/textproc/rubygem-whatlanguage/distinfo b/textproc/rubygem-whatlanguage/distinfo new file mode 100644 index 000000000000..033f982ad8ec --- /dev/null +++ b/textproc/rubygem-whatlanguage/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1493234905 +SHA256 (rubygem/whatlanguage-1.0.6.gem) = 2f3410f4c2cc50eb582640e01b2d18c478fc7a95a3d1bcfc5d8ea05a1f68fd69 +SIZE (rubygem/whatlanguage-1.0.6.gem) = 2982400 diff --git a/textproc/rubygem-whatlanguage/pkg-descr b/textproc/rubygem-whatlanguage/pkg-descr new file mode 100644 index 000000000000..37c247cd1265 --- /dev/null +++ b/textproc/rubygem-whatlanguage/pkg-descr @@ -0,0 +1,10 @@ +WhatLanguage, written in pure-Ruby, detects the human language of supplied text. +It uses Bloom filters, so it is fast and memory efficient. It works well on +text of over 10 words in length (e.g. blog posts or comments) and very poorly on +short or Twitter-esque text. + +It works with Arabic, Dutch, English, Farsi, Finnish, French, German, Greek, +Hebrew, Hungarian, Italian, Korean, Norwegian, Pinyin, Polish, Portuguese, +Russian, Spanish, and Swedish out of the box. + +WWW: https://github.com/peterc/whatlanguage |