head 1.5; access; symbols pkgsrc-2023Q4:1.5.0.16 pkgsrc-2023Q4-base:1.5 pkgsrc-2023Q3:1.5.0.14 pkgsrc-2023Q3-base:1.5 pkgsrc-2023Q2:1.5.0.12 pkgsrc-2023Q2-base:1.5 pkgsrc-2023Q1:1.5.0.10 pkgsrc-2023Q1-base:1.5 pkgsrc-2022Q4:1.5.0.8 pkgsrc-2022Q4-base:1.5 pkgsrc-2022Q3:1.5.0.6 pkgsrc-2022Q3-base:1.5 pkgsrc-2022Q2:1.5.0.4 pkgsrc-2022Q2-base:1.5 pkgsrc-2022Q1:1.5.0.2 pkgsrc-2022Q1-base:1.5 pkgsrc-2021Q4:1.3.0.78 pkgsrc-2021Q4-base:1.3 pkgsrc-2021Q3:1.3.0.76 pkgsrc-2021Q3-base:1.3 pkgsrc-2021Q2:1.3.0.74 pkgsrc-2021Q2-base:1.3 pkgsrc-2021Q1:1.3.0.72 pkgsrc-2021Q1-base:1.3 pkgsrc-2020Q4:1.3.0.70 pkgsrc-2020Q4-base:1.3 pkgsrc-2020Q3:1.3.0.68 pkgsrc-2020Q3-base:1.3 pkgsrc-2020Q2:1.3.0.64 pkgsrc-2020Q2-base:1.3 pkgsrc-2020Q1:1.3.0.44 pkgsrc-2020Q1-base:1.3 pkgsrc-2019Q4:1.3.0.66 pkgsrc-2019Q4-base:1.3 pkgsrc-2019Q3:1.3.0.62 pkgsrc-2019Q3-base:1.3 pkgsrc-2019Q2:1.3.0.60 pkgsrc-2019Q2-base:1.3 pkgsrc-2019Q1:1.3.0.58 pkgsrc-2019Q1-base:1.3 pkgsrc-2018Q4:1.3.0.56 pkgsrc-2018Q4-base:1.3 pkgsrc-2018Q3:1.3.0.54 pkgsrc-2018Q3-base:1.3 pkgsrc-2018Q2:1.3.0.52 pkgsrc-2018Q2-base:1.3 pkgsrc-2018Q1:1.3.0.50 pkgsrc-2018Q1-base:1.3 pkgsrc-2017Q4:1.3.0.48 pkgsrc-2017Q4-base:1.3 pkgsrc-2017Q3:1.3.0.46 pkgsrc-2017Q3-base:1.3 pkgsrc-2017Q2:1.3.0.42 pkgsrc-2017Q2-base:1.3 pkgsrc-2017Q1:1.3.0.40 pkgsrc-2017Q1-base:1.3 pkgsrc-2016Q4:1.3.0.38 pkgsrc-2016Q4-base:1.3 pkgsrc-2016Q3:1.3.0.36 pkgsrc-2016Q3-base:1.3 pkgsrc-2016Q2:1.3.0.34 pkgsrc-2016Q2-base:1.3 pkgsrc-2016Q1:1.3.0.32 pkgsrc-2016Q1-base:1.3 pkgsrc-2015Q4:1.3.0.30 pkgsrc-2015Q4-base:1.3 pkgsrc-2015Q3:1.3.0.28 pkgsrc-2015Q3-base:1.3 pkgsrc-2015Q2:1.3.0.26 pkgsrc-2015Q2-base:1.3 pkgsrc-2015Q1:1.3.0.24 pkgsrc-2015Q1-base:1.3 pkgsrc-2014Q4:1.3.0.22 pkgsrc-2014Q4-base:1.3 pkgsrc-2014Q3:1.3.0.20 pkgsrc-2014Q3-base:1.3 pkgsrc-2014Q2:1.3.0.18 pkgsrc-2014Q2-base:1.3 pkgsrc-2014Q1:1.3.0.16 pkgsrc-2014Q1-base:1.3 pkgsrc-2013Q4:1.3.0.14 pkgsrc-2013Q4-base:1.3 pkgsrc-2013Q3:1.3.0.12 pkgsrc-2013Q3-base:1.3 pkgsrc-2013Q2:1.3.0.10 pkgsrc-2013Q2-base:1.3 pkgsrc-2013Q1:1.3.0.8 pkgsrc-2013Q1-base:1.3 pkgsrc-2012Q4:1.3.0.6 pkgsrc-2012Q4-base:1.3 pkgsrc-2012Q3:1.3.0.4 pkgsrc-2012Q3-base:1.3 pkgsrc-2012Q2:1.3.0.2 pkgsrc-2012Q2-base:1.3 pkgsrc-2012Q1:1.2.0.2 pkgsrc-2012Q1-base:1.2 pkgsrc-2011Q4:1.1.1.1.0.14 pkgsrc-2011Q4-base:1.1.1.1 pkgsrc-2011Q3:1.1.1.1.0.12 pkgsrc-2011Q3-base:1.1.1.1 pkgsrc-2011Q2:1.1.1.1.0.10 pkgsrc-2011Q2-base:1.1.1.1 pkgsrc-2011Q1:1.1.1.1.0.8 pkgsrc-2011Q1-base:1.1.1.1 pkgsrc-2010Q4:1.1.1.1.0.6 pkgsrc-2010Q4-base:1.1.1.1 pkgsrc-2010Q3:1.1.1.1.0.4 pkgsrc-2010Q3-base:1.1.1.1 pkgsrc-2010Q2:1.1.1.1.0.2 pkgsrc-2010Q2-base:1.1.1.1 pkgsrc-base:1.1.1.1 TNF:1.1.1; locks; strict; comment @# @; 1.5 date 2022.01.14.17.52.05; author wiz; state Exp; branches; next 1.4; commitid qL8I7eLzKRTx0DoD; 1.4 date 2022.01.10.22.18.00; author wiz; state Exp; branches; next 1.3; commitid dT09uqHCazkUB8oD; 1.3 date 2012.04.08.20.21.58; author wiz; state Exp; branches; next 1.2; 1.2 date 2012.02.05.13.19.32; author obache; state Exp; branches; next 1.1; 1.1 date 2010.05.19.12.10.10; author obache; state Exp; branches 1.1.1.1; next ; 1.1.1.1 date 2010.05.19.12.10.10; author obache; state Exp; branches; next ; desc @@ 1.5 log @*: python2 egg files are back, add them to the PLISTs @ text @@@comment $NetBSD: PLIST,v 1.4 2022/01/10 22:18:00 wiz Exp $ ${PYSITELIB}/YamCha.py ${PYSITELIB}/YamCha.pyc ${PYSITELIB}/YamCha.pyo ${PYSITELIB}/_YamCha.so ${PYSITELIB}/${EGG_INFODIR} @ 1.4 log @py-yamcha: convert to egg.mk @ text @d1 1 a1 1 @@comment $NetBSD: PLIST,v 1.3 2012/04/08 20:21:58 wiz Exp $ d6 1 @ 1.3 log @All supported python versions in pkgsrc support eggs, so remove ${PLIST.eggfile} from PLISTs and support code from lang/python. @ text @d1 1 a1 1 @@comment $NetBSD: PLIST,v 1.2 2012/02/05 13:19:32 obache Exp $ a5 1 ${PYSITELIB}/${EGG_FILE} @ 1.2 log @distutils pkg, use python/distutils.mk, then register egg-info. Bump PKGREVISION. @ text @d1 1 a1 1 @@comment $NetBSD$ d6 1 a6 1 ${PLIST.eggfile}${PYSITELIB}/${EGG_FILE} @ 1.1 log @Initial revision @ text @d6 1 @ 1.1.1.1 log @Import py26-yamcha-0.33 as textproc/py-yamcha. YamCha is a generic, customizable, and open source text chunker oriented toward a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP chunking, and Text Chunking. YamCha is using a state-of-the-art machine learning algorithm called Support Vector Machines (SVMs), first introduced by Vapnik in 1995. This package is python module for YamCha. @ text @@