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[DL-Learner SVN] SF.net SVN: dl-learner:[3901] trunk/components-ext/src/main/resources/tbsl/ models
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From: <lor...@us...> - 2013-02-18 14:17:03
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Revision: 3901
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3901&view=rev
Author: lorenz_b
Date: 2013-02-18 14:16:54 +0000 (Mon, 18 Feb 2013)
Log Message:
-----------
Removed Stanford models because they can be loaded via Maven now.
Removed Paths:
-------------
trunk/components-ext/src/main/resources/tbsl/models/README-Models.txt
trunk/components-ext/src/main/resources/tbsl/models/bidirectional-distsim-wsj-0-18.tagger
trunk/components-ext/src/main/resources/tbsl/models/bidirectional-distsim-wsj-0-18.tagger.props
trunk/components-ext/src/main/resources/tbsl/models/left3words-wsj-0-18.tagger
trunk/components-ext/src/main/resources/tbsl/models/left3words-wsj-0-18.tagger.props
Deleted: trunk/components-ext/src/main/resources/tbsl/models/README-Models.txt
===================================================================
--- trunk/components-ext/src/main/resources/tbsl/models/README-Models.txt 2013-02-18 14:14:10 UTC (rev 3900)
+++ trunk/components-ext/src/main/resources/tbsl/models/README-Models.txt 2013-02-18 14:16:54 UTC (rev 3901)
@@ -1,90 +0,0 @@
-Stanford POS Tagger, v. 3.0.2 - 2011-05-15.
-Copyright (c) 2002-2011 The Board of Trustees of
-The Leland Stanford Junior University. All Rights Reserved.
-
-This document contains (some) information about the models included in
-this release and that may be downloaded for the POS tagger website at
-http://nlp.stanford.edu/software/tagger.shtml . If you have downloaded
-the full tagger, all of the models mentioned in this document are in the
-downloaded package in the same directory as this readme. Otherwise,
-included in the download are two
-English taggers, and the other taggers may be downloaded from the
-website. All taggers are accompanied by the props files used to create
-them; please examine these files for more detailed information about the
-creation of the taggers.
-
-For English, the bidirectional taggers are slightly more accurate, but
-tag much more slowly; choose the appropriate tagger based on your
-speed/performance needs.
-
-English taggers
----------------------------
-bidirectional-distsim-wsj-0-18.tagger
-Trained on WSJ sections 0-18 using a bidirectional architecture and
-including word shape and distributional similarity features.
-Penn Treebank tagset.
-Performance:
-97.28% correct on WSJ 19-21
-(90.46% correct on unknown words)
-
-left3words-wsj-0-18.tagger
-Trained on WSJ sections 0-18 using the left3words architecture and
-includes word shape features. Penn tagset.
-Performance:
-96.97% correct on WSJ 19-21
-(88.85% correct on unknown words)
-
-left3words-distsim-wsj-0-18.tagger
-Trained on WSJ sections 0-18 using the left3words architecture and
-includes word shape and distributional similarity features. Penn tagset.
-Performance:
-97.01% correct on WSJ 19-21
-(89.81% correct on unknown words)
-
-
-Chinese tagger
----------------------------
-chinese.tagger
-Trained on a combination of Chinese Treebank texts from Chinese and Hong
-Kong sources.
-LDC Chinese Treebank POS tag set.
-Performance:
-94.13% on a combination of Chinese and Hong Kong texts
-(78.92% on unknown words)
-
-Arabic tagger
----------------------------
-arabic-accurate.tagger
-Trained on the *entire* ATB p1-3.
-When trained on the train part of the ATB p1-3 split done for the 2005
-JHU Summer Workshop (Diab split), using (augmented) Bies tags, it gets
-the following performance:
-Performance:
-96.50% on dev portion according to Diab split
-(80.59% on unknown words)
-
-arabic-fast.tagger
-4x speed improvement over "accurate".
-Performance:
-96.34% on dev portion according to Diab split
-(80.28% on unknown words)
-
-
-German tagger
----------------------------
-german-accurate.tagger
-Trained on the first 80% of the Negra corpus, which uses the STTS tagset.
-The Stuttgart-Tübingen Tagset (STTS) is a set of 54 tags for annotating
-German text corpora with part-of-speech labels, which was jointly
-developed by the Institut für maschinelle Sprachverarbeitung of the
-University of Stuttgart and the Seminar für Sprachwissenschaft of the
-University of Tübingen. See:
-http://www.ims.uni-stuttgart.de/projekte/CQPDemos/Bundestag/help-tagset.html
-Performance:
-96.90% on the first half of the remaining 20% of the Negra corpus (dev set)
-(90.33% on unknown words)
-
-german-fast.tagger
-8x speed improvement over "accurate".
-Performance:
-96.61% overall / 86.72% unknown.
Deleted: trunk/components-ext/src/main/resources/tbsl/models/bidirectional-distsim-wsj-0-18.tagger
===================================================================
(Binary files differ)
Deleted: trunk/components-ext/src/main/resources/tbsl/models/bidirectional-distsim-wsj-0-18.tagger.props
===================================================================
--- trunk/components-ext/src/main/resources/tbsl/models/bidirectional-distsim-wsj-0-18.tagger.props 2013-02-18 14:14:10 UTC (rev 3900)
+++ trunk/components-ext/src/main/resources/tbsl/models/bidirectional-distsim-wsj-0-18.tagger.props 2013-02-18 14:16:54 UTC (rev 3901)
@@ -1,33 +0,0 @@
-## tagger training invoked at Fri Apr 15 01:00:51 PDT 2011 with arguments:
- model = bidirectional-distsim-wsj-0-18.tagger
- arch = bidirectional5words,naacl2003unknowns,wordshapes(-1,1),distsim(../data/pos-tagger/training/english/egw.bnc.200.pruned,-1,1),distsimconjunction(../data/pos-tagger/training/english/egw.bnc.200.pruned,-1,1)
- trainFile = ../data/pos-tagger/training/english/train-wsj-0-18
- closedClassTags =
- closedClassTagThreshold = 40
- curWordMinFeatureThresh = 2
- debug = false
- debugPrefix =
- tagSeparator = _
- encoding = UTF-8
- iterations = 100
- lang = english
- learnClosedClassTags = false
- minFeatureThresh = 2
- openClassTags =
-rareWordMinFeatureThresh = 5
- rareWordThresh = 5
- search = owlqn
- sgml = false
- sigmaSquared = 0.5
- regL1 = 0.75
- tagInside =
- tokenize = true
- tokenizerFactory =
- tokenizerOptions =
- verbose = false
- verboseResults = true
- veryCommonWordThresh = 250
- xmlInput =
- outputFile =
- outputFormat = slashTags
- outputFormatOptions =
Deleted: trunk/components-ext/src/main/resources/tbsl/models/left3words-wsj-0-18.tagger
===================================================================
(Binary files differ)
Deleted: trunk/components-ext/src/main/resources/tbsl/models/left3words-wsj-0-18.tagger.props
===================================================================
--- trunk/components-ext/src/main/resources/tbsl/models/left3words-wsj-0-18.tagger.props 2013-02-18 14:14:10 UTC (rev 3900)
+++ trunk/components-ext/src/main/resources/tbsl/models/left3words-wsj-0-18.tagger.props 2013-02-18 14:16:54 UTC (rev 3901)
@@ -1,33 +0,0 @@
-## tagger training invoked at Fri Apr 15 07:35:09 PDT 2011 with arguments:
- model = left3words-wsj-0-18.tagger
- arch = left3words,naacl2003unknowns,wordshapes(-1,1)
- trainFile = ../data/pos-tagger/training/english/train-wsj-0-18
- closedClassTags =
- closedClassTagThreshold = 40
- curWordMinFeatureThresh = 2
- debug = false
- debugPrefix =
- tagSeparator = _
- encoding = UTF-8
- iterations = 100
- lang = english
- learnClosedClassTags = false
- minFeatureThresh = 2
- openClassTags =
-rareWordMinFeatureThresh = 10
- rareWordThresh = 5
- search = owlqn
- sgml = false
- sigmaSquared = 0.0
- regL1 = 0.75
- tagInside =
- tokenize = true
- tokenizerFactory =
- tokenizerOptions =
- verbose = false
- verboseResults = true
- veryCommonWordThresh = 250
- xmlInput =
- outputFile =
- outputFormat = slashTags
- outputFormatOptions =
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