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-rw-r--r--textproc/py-snowballstemmer/Makefile6
-rw-r--r--textproc/py-snowballstemmer/distinfo6
-rw-r--r--textproc/py-snowballstemmer/pkg-descr13
3 files changed, 16 insertions, 9 deletions
diff --git a/textproc/py-snowballstemmer/Makefile b/textproc/py-snowballstemmer/Makefile
index 6eacc0997332..23d44608283b 100644
--- a/textproc/py-snowballstemmer/Makefile
+++ b/textproc/py-snowballstemmer/Makefile
@@ -1,5 +1,5 @@
PORTNAME= snowballstemmer
-PORTVERSION= 1.2.1
+PORTVERSION= 2.1.0
CATEGORIES= textproc python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
@@ -7,8 +7,8 @@ PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Snowball stemming library collection for Python
-LICENSE= BSD2CLAUSE
-LICENSE_FILE= ${WRKSRC}/LICENSE.rst
+LICENSE= BSD3CLAUSE
+LICENSE_FILE= ${WRKSRC}/COPYING
USES= python:3.6+
USE_PYTHON= autoplist concurrent distutils
diff --git a/textproc/py-snowballstemmer/distinfo b/textproc/py-snowballstemmer/distinfo
index 95185d68b359..849dcc57610f 100644
--- a/textproc/py-snowballstemmer/distinfo
+++ b/textproc/py-snowballstemmer/distinfo
@@ -1,3 +1,3 @@
-TIMESTAMP = 1560171121
-SHA256 (snowballstemmer-1.2.1.tar.gz) = 919f26a68b2c17a7634da993d91339e288964f93c274f1343e3bbbe2096e1128
-SIZE (snowballstemmer-1.2.1.tar.gz) = 49626
+TIMESTAMP = 1620405453
+SHA256 (snowballstemmer-2.1.0.tar.gz) = e997baa4f2e9139951b6f4c631bad912dfd3c792467e2f03d7239464af90e914
+SIZE (snowballstemmer-2.1.0.tar.gz) = 85674
diff --git a/textproc/py-snowballstemmer/pkg-descr b/textproc/py-snowballstemmer/pkg-descr
index ca7660120f97..dcb0f45d84df 100644
--- a/textproc/py-snowballstemmer/pkg-descr
+++ b/textproc/py-snowballstemmer/pkg-descr
@@ -1,4 +1,11 @@
-This is a pure Python stemming library. If PyStemmer is
-available, this module uses it to accelerate.
+Snowball is a small string processing language for creating stemming algorithms
+for use in Information Retrieval, plus a collection of stemming algorithms
+implemented using it.
-WWW: https://pypi.org/project/snowballstemmer/
+Stemming maps different forms of the same word to a common "stem" - for example,
+the English stemmer maps connection, connections, connective, connected, and
+connecting to connect. So a searching for connected would also find documents
+which only have the other forms.
+
+WWW: https://snowballstem.org/
+WWW: https://github.com/snowballstem/snowball