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To pass the test the event hash and the model output must be identical.

Component	Model	Tester	Passed	Comment
Sentence Detector	en-sent.bin	Jörn	yes
Tokenizer	en-token.bin	Jörn	yes
POS Tagger	en-pos-maxent.bin	Jörn	yes
POS Tagger	en-pos-perceptron.bin	Jörn	yes
Parser	en-parser-chunking.bin	Jörn		yes	Tested on 10k sentences

Note: Time was measured with the time command, the value is the "real" time value.

...

Component	Data	Tester	Tagging Perf 1.5.2	Tagging Perf 1.5.3	Comment
Sentence Detector
Tokenizer
Name Finder	CONLL 2002 Dutch Person ned.testa	jkosin	Precision: 0.7552941176470588 Recall: 0.4566145092460882 F-Measure: 0.5691489361702128	Name Finder	CONLL 2002 Dutch Person ned.testa		Precision: 0.7552941176470588 Recall: 0.4566145092460882 F-Measure: 0.5691489361702128
Name Finder	CONLL 2002 Dutch Person ned.testb	jkosin	Precision: 0.8505025125628141 Recall: 0.6165755919854281 F-Measure: 0.7148891235480465			Precision: 0.8505025125628141 Recall: 0.6165755919854281 F-Measure: 0.7148891235480465
Name Finder Name Finder	CONLL 2002 Dutch Organization ned.testa	jkosin	Precision: 0.8561872909698997 Recall: 0.37317784256559766 F-Measure: 0.5197969543147207	Precision: 0.8561872909698997 Recall: 0.37317784256559766 F-Measure: 0.5197969543147207
Name Finder	CONLL 2002 Dutch Organization ned.testb	jkosin	Precision: 0.7830374753451677 Recall: 0.4501133786848073 F-Measure: 0.5716342692584593	Precision: 0.7830374753451677 Recall: 0.4501133786848073 F-Measure: 0.5716342692584593
Name Finder	CONLL 2002 Dutch Location ned.testa	jkosin	Precision: 0.8458333333333333 Recall: 0.42379958246346555 F-Measure: 0.564673157162726		Precision: 0.8458333333333333 Recall: 0.42379958246346555 F-Measure: 0.564673157162726
Name Finder	CONLL 2002 Dutch Location ned.testb	jkosin	Precision: 0.8816326530612245 Recall: 0.5581395348837209 F-Measure: 0.6835443037974683	Precision: 0.8816326530612245 Recall: 0.5581395348837209 F-Measure: 0.6835443037974683
Name Finder	CONLL 2002 Dutch Misc ned.testa	jkosin	Precision: 0.8354114713216958 Recall: 0.44786096256684493 F-Measure: 0.5831157528285466	Precision: 0.8354114713216958 Recall: 0.44786096256684493 F-Measure: 0.5831157528285466
Name Finder	CONLL 2002 Dutch Misc ned.testb	jkosin	Precision: 0.8264984227129337 Recall: 0.44144903117101936 F-Measure: 0.5755079626578803		Precision: 0.8264984227129337 Recall: 0.44144903117101936 F-Measure: 0.5755079626578803
Name Finder	CONLL 2002 Combined ned.testa	jkosin	Precision: 0.6509695290858726 Recall: 0.628822629969419 F-Measure: 0.6397044526540929		1000 iterations	Name Finder	CONLL 2002 Dutch Combined ned.testb		Precision: 0.6869929337869668 664424218440839 Recall: 0.6660746003552398 6418195718654435 F-Measure: 0.6763720690543674 6529263076025666	1000 iterations OPENNLP-417
Name Finder	CONLL 2002 Spanish Person esp.testa Dutch Combined ned.testb	jkosin	Precision: 0.9010695187165776 6869929337869668 Recall: 0.5515548281505729 6660746003552398 F-Measure: 0.684263959390863			Name Finder	CONLL 2002 Spanish Person esp.testb	6763720690543674	Precision: 0.9195205479452054 7006019366657943 Recall: 0.7306122448979592 679269221009896 F-Measure: 0.8142532221379833 6897706776603968		1000 iterations OPENNLP-417
Name Finder	CONLL 2002 Spanish Organization Person esp.testa	jkosin	Precision: 0.8288942695722357 9010695187165776 Recall: 0.6041176470588235 5515548281505729 F-Measure: 0.6988771691051379			Name Finder	CONLL 2002 Spanish Organization esp.testb	684263959390863	Precision: 0.8036277602523659 9010695187165776 Recall: 0.7278571428571429 5515548281505729 F-Measure: 0.7638680659670164 684263959390863
Name Finder	CONLL 2002 Spanish Location Person esp.testa testb	jkosin	Precision: 0.7743016759776536 9195205479452054 Recall: 0.7042682926829268 7306122448979592 F-Measure: 0.7376263970196913			Name Finder	CONLL 2002 Spanish Location esp.testb	8142532221379833	Precision: 0.8301886792452831 9195205479452054 Recall: 0.5682656826568265 7306122448979592 F-Measure: 0.6746987951807228 8142532221379833
Name Finder	CONLL 2002 Spanish Misc Organization esp.testa	jkosin	Precision: 0.6492890995260664 8288942695722357 Recall: 0.30786516853932583 6041176470588235 F-Measure: 0.4176829268292683			6988771691051379	Precision: 0.8288942695722357 Recall: 0.6041176470588235 F-Measure: 0.6988771691051379
Name Name Finder	CONLL 2002 Spanish Misc Organization esp.testb	jkosin	Precision: 0.686046511627907 8036277602523659 Recall: 0.3480825958702065 7278571428571429 F-Measure: 0.461839530332681			Name Finder	CONLL 2002 Spanish Combined esp.testa	7638680659670164	Precision: 0.7005423249233671 8036277602523659 Recall: 0.6828315329809239 7278571428571429 F-Measure: 0.6915735567970205 7638680659670164	1000 iterations
Name Finder	CONLL 2002 Spanish Combined Location esp.testb testa	jkosin	Precision: 0.756635931824532 7743016759776536 Recall: 0.7611017425519955 7042682926829268 F-Measure: 0.7588622670589884		7376263970196913	Precision: 0.7743016759776536 Recall: 0.7042682926829268 F-Measure: 0.7376263970196913	1000 iterations
Name Finder	CONLL 2003 English Person eng.testa 2002 Spanish Location esp.testb	jkosin	Precision: 0.9523195876288659 8301886792452831 Recall: 0.8023887079261672 5682656826568265 F-Measure: 0.8709487330583382 6746987951807228	Precision: 0.95231958762886598301886792452831 Recall: 0.80238870792616725682656826568265 F-Measure: 0.8709487330583382 6746987951807228
Name Finder	CONLL 2003 English Person eng.testb 2002 Spanish Misc esp.testa	jkosin	Precision: 0.9391727493917275 6492890995260664 Recall: 0.7161410018552876 30786516853932583 F-Measure: 0.8126315789473685 4176829268292683	Precision: 0.93917274939172756492890995260664 Recall: 0.716141001855287630786516853932583 F-Measure: 0.8126315789473685 4176829268292683
Name Finder	CONLL 2003 English Organization eng.testa 2002 Spanish Misc esp.testb	jkosin	Precision: 0.8768046198267565 686046511627907 Recall: 0.6793437733035048 3480825958702065 F-Measure: 0.7655462184873949 461839530332681	Precision: 0.8768046198267565686046511627907 Recall: 0.67934377330350483480825958702065 F-Measure: 0.7655462184873949 461839530332681
Name Finder	CONLL 2003 English Organization eng.testb 2002 Spanish Combined esp.testa	jkosin	Precision: 0.8435980551053485 7005423249233671 Recall: 0.6267308850090307 6828315329809239 F-Measure: 0.7191709844559586 6915735567970205	Precision: 0.84359805510534857047866069323273 Recall: 0.62673088500903076869685129855205 F-Measure: 0.7191709844559586 6957635009310986	1000 iterations OPENNLP-417
Name Finder	CONLL 2003 English Location eng.testa 2002 Spanish Combined esp.testb	jkosin	Precision: 0.9361421988150099 756635931824532 Recall: 0.7740881872618399 7611017425519955 F-Measure: 0.8474374255065554 7588622670589884	Precision: 0.93614219881500997588711930706902 Recall: 0.77408818726183997633501967397415 F-Measure: 0.8474374255065554 7611041053664006	1000 iterations OPENNLP-417
Name Finder	CONLL 2003 English Location Person eng.testb testa	jkosin	Precision: 0.9206349206349206 9523195876288659 Recall: 0.7302158273381295 8023887079261672 F-Measure: 0.8144433299899699 8709487330583382	Precision: 0.92063492063492069523195876288659 Recall: 0.73021582733812958023887079261672 F-Measure: 0.8144433299899699 8709487330583382
Name Finder	CONLL 2003 English Misc Person eng.testa testb	jkosin	Precision: 0.9027982326951399 9391727493917275 Recall: 0.6648590021691974 7161410018552876 F-Measure: 0.7657713928794503 8126315789473685	Precision: 0.90279823269513999391727493917275 Recall: 0.66485900216919747161410018552876 F-Measure: 0.7657713928794503 8126315789473685
Name Finder	CONLL 2003 English Misc Organization eng.testb testa	jkosin	Precision: 0.8592436974789915 8768046198267565 Recall: 0.5826210826210826 6793437733035048 F-Measure: 0.6943972835314092 7655462184873949	Precision: 0.85924369747899158768046198267565 Recall: 0.58262108262108266793437733035048 F-Measure: 0.6943972835314092 7655462184873949
Name Finder	CONLL 2003 English Combined Organization eng.testa testb	jkosin	Precision: 0.861812521618817 8435980551053485 Recall: 0.8386065297879501 6267308850090307 F-Measure: 0.8500511770726714 7191709844559586	Precision: 0.86406087858872368435980551053485 Recall: 0.84079434533826996267308850090307 F-Measure: 0.8522688502217672 7191709844559586	1000 iterations OPENNLP-417
Name Finder	CONLL 2003 English Combined Location eng.testb testa	jkosin	Precision: 0.8041311831853597 9361421988150099 Recall: 0.7857648725212465 7740881872618399 F-Measure: 0.7948419450165667 8474374255065554	Precision: 0.80648668236999459361421988150099 Recall: 0.78806657223796047740881872618399 F-Measure: 0.7971702337243664 8474374255065554	1000 iterations OPENNLP-417
Name Finder	CONLL 2003 German Person deu.testa English Location eng.testb	jkosin	Precision: 0.9132653061224489 9206349206349206 Recall: 0.25553176302640973 7302158273381295 F-Measure: 0.3993307306190742 8144433299899699	Precision: 0.91326530612244899206349206349206 Recall: 0.255531763026409737302158273381295 F-Measure: 0.3993307306190742 8144433299899699
Name Finder	CONLL 2003 German Person deu.testb English Misc eng.testa	jkosin	Precision: 0.8732106339468303 9027982326951399 Recall: 0.3573221757322176 6648590021691974 F-Measure: 0.507125890736342 7657713928794503	Precision: 0.87321063394683039027982326951399 Recall: 0.35732217573221766648590021691974 F-Measure: 0.507125890736342 7657713928794503
Name Finder	CONLL 2003 German Organization deu.testa English Misc eng.testb	jkosin	Precision: 0.8407224958949097 8592436974789915 Recall: 0.4125705076551168 5826210826210826 F-Measure: 0.5535135135135135 6943972835314092	Precision: 0.84072249589490978592436974789915 Recall: 0.41257050765511685826210826210826 F-Measure: 0.5535135135135135 6943972835314092
Name Finder	CONLL 2003 German Organization deu.testb English Combined eng.testa	jkosin	Precision: 0.8014705882352942 861812521618817 Recall: 0.4230271668822768 8386065297879501 F-Measure: 0.5537679932260795 8500511770726714	Precision: 0.80147058823529428640608785887236 Recall: 0.42302716688227688407943453382699 F-Measure: 0.5537679932260795 8522688502217672		1000 iterations OPENNLP-417
Name Name Finder	CONLL 2003 German Location deu.testa English Combined eng.testb	jkosin	Precision: 0.7816326530612245 8041311831853597 Recall: 0.32430143945808637 7857648725212465 F-Measure: 0.45840813883901854 7948419450165667	Precision: 0.78163265306122458064866823699945 Recall: 0.324301439458086377880665722379604 F-Measure: 0.45840813883901854 7971702337243664	1000 iterations OPENNLP-417
Name Finder	CONLL 2003 German Location Person deu.testb testa	jkosin	Precision: 0.8033826638477801 9132653061224489 Recall: 0.3671497584541063 25553176302640973 F-Measure: 0.5039787798408487 3993307306190742	Precision: 0.80338266384778019132653061224489 Recall: 0.367149758454106325553176302640973 F-Measure: 0.5039787798408487 3993307306190742
Name Finder	CONLL 2003 German Misc Person deu.testa testb	jkosin	Precision: 0.7055555555555556 8732106339468303 Recall: 0.12574257425742574 3573221757322176 F-Measure: 0.21344537815126052 507125890736342	Precision: 0.70555555555555568732106339468303 Recall: 0.125742574257425743573221757322176 F-Measure: 0.21344537815126052 507125890736342
Name Finder	CONLL 2003 German Misc Organization deu.testb testa	jkosin	Precision: 0.6601307189542484 8407224958949097 Recall: 0.15074626865671642 4125705076551168 F-Measure: 0.2454434993924666 5535135135135135	Precision: 0.66013071895424848407224958949097 Recall: 0.150746268656716424125705076551168 F-Measure: 0.2454434993924666 5535135135135135
Name Finder	CONLL 2003 German Combined Organization deu.testa testb	jkosin	Precision: 0.7718859429714857 8014705882352942 Recall: 0.319263397475688 4230271668822768 F-Measure: 0.5537679932260795	Precision: 0.8014705882352942 Recall: 0.4516978922716628 4230271668822768 F-Measure: 0.5537679932260795
Name Finder	CONLL 2003 German Combined Location deu.testb testa	jkosin	Precision: 0.7467566165023353 7816326530612245 Recall: 0.3917778382793357 32430143945808637 F-Measure: 0.5139285714285715			POS Tagger	CONLL 2006 Danish		45840813883901854	Precision: 0.7816326530612245 Recall: 0.32430143945808637 F-Measure Accuracy: 0.9511278195488722 45840813883901854
POS Tagger Name Finder	CONLL 2006 Dutch		2003 German Location deu.testb	jkosin	Precision Accuracy: 0.9324977618621307			POS Tagger	CONLL 2006 Portuguese		Accuracy8033826638477801 Recall: 0.9659110277825124 3671497584541063 F-Measure: 0.5039787798408487	Precision: 0.8033826638477801 Recall: 0.3671497584541063 F-Measure: 0.5039787798408487	POS
Tagger Name Finder	CONLL 2006 Swedish		2003 German Misc deu.testa	jkosin	Precision Accuracy: 0.9275106082036775			7055555555555556 Recall: 0.12574257425742574 F-Measure: 0.21344537815126052	Precision: 0.7055555555555556 Recall: 0.12574257425742574 F-Measure: 0.21344537815126052
Name Finder	CONLL 2003 German Misc deu.testb	jkosin	Precision: 0.6601307189542484 Recall: 0.15074626865671642 F-Measure: 0.2454434993924666	Precision: 0.6601307189542484 Recall: 0.15074626865671642 F-Measure: 0.2454434993924666
Name Finder	CONLL 2003 German Combined deu.testa	jkosin	Precision: 0.7718859429714857 Recall: 0.319263397475688 F-Measure: 0.4516978922716628	Precision: 0.7783891945972986 Recall: 0.32195323815435545 F-Measure: 0.45550351288056207	OPENNLP-417
Name Finder	CONLL 2003 German Combined deu.testb	jkosin	Precision: 0.7467566165023353 Recall: 0.3917778382793357 F-Measure: 0.5139285714285715	Precision: 0.749351323300467 Recall: 0.3931391233324258 F-Measure: 0.5157142857142857	OPENNLP-417
POS Tagger	CONLL 2006 Danish	Jörn / ?	Accuracy: 0.9511278195488722	Accuracy: 0.9512987012987013	Jörn: Same result as other tester
POS Tagger	CONLL 2006 Dutch	Jörn	Accuracy: 0.9324977618621307	Accuracy: 0.9324977618621307
POS Tagger	CONLL 2006 Portuguese	Jörn / ?	Accuracy: 0.9659110277825124	Accuracy: 0.9659110277825124	Jörn: Same result as other tester
POS Tagger	CONLL 2006 Swedish	Jörn	Accuracy: 0.9275106082036775	Accuracy: 0.9275106082036775
Chunker	CONLL 2000	William	Precision: 0.9257575757575758 Recall: 0.9221868187154117 F-Measure: 0.9239687473746113	Precision: 0.9257575757575758 Recall: 0.9221868187154117 F-Measure: 0.9239687473746113
Sentence Detector	Arvores Deitadas (Floresta Virgem) (10-fold cross-validation)	William		Precision: 0.9891491491491492 Recall: 0.9894066523820013 F-Measure: 0.9892778840089301	PERCEPTRON Cutoff 0 1.5.2 works poorly because we didn't have configurable EOS
Tokenizer	Arvores Deitadas (Floresta Virgem) (10-fold cross-validation)	William		Precision: 0.9995231988260895 Recall: 0.9994542652270997	Chunker	CONLL 2000	William	Precision: 0.9257575757575758 Recall: 0.9221868187154117 F-Measure: 0.9239687473746113 9994887308380267 Precision:	PERCEPTRON Cutoff 0 .9257575757575758 Recall: 0.9221868187154117 F-Measure: 0.9239687473746113 alphaNumOpt
Chunker	Arvores Deitadas (10-fold cross-validation)	William	Precision: 0.9404684925220583 Recall: 0.9374181341871635 F-Measure: 0.9389408359191154	Precision: 0.9562405864042575 Recall: 0.9582419351592844 F-Measure: 0.9572402147035765	OPENNLP-541, OPENNLP-423

...

Analysis Engine	Tester	Passed
Sentence Detector
Sentence Detector Trainer
Tokenizer ME
Tokenizer Trainer
Name Finder
Name Finder Trainer
Chunker
Chunker Trainer
POS Tagger
POS Tagger Trainer
Parser
createPear.sh	Jörn	yes
Sample PEAR	Jörn	yes

Distribution Review

Please ensure that the listed files below are included in the distributions
and are in a good state.

Package	File or Test	Tester	Passed	Comment
Binary	LICENSE	Jörn	Yes	AL 2.0 and BSD for JWNL
Binary	NOTICE	Jörn	Yes	standard notice, dates are correct. JWNL is mentioned
Binary	README	Jörn	Yes	File was reviewed on the dev list.
Binary	RELEASE_NOTES.html	Jörn	Yes	issue list is generated correctly
Binary	Test signatures: .md5, .sha1, .asc	Jörn	Yes rc4	tested for rc3
Binary	JIRA issue list created	William	No	Yes	Minor issue: the project.version was not filled. The list is empty
Binary	Contains maxent, tools, uima and jwnl jars	Jörn	Yes
Source	LICENSE	Jörn	Yes	standard AL 2.0 file
Source	NOTICE	Jörn	Yes	standard notice, dates are correct
Source	Test signatures: .md5, .sha1, .asc	Jörn	rc1	tested for rc3
Source	Can build from source?	Jörn	Yes	Test should be done without jwnl and opennlp in local m2 repo. Test was done on Ubuntu 10.10.

Notes about testing

Compatibility tests

The following commands can be used to reproduce the compatibility tests with Leipzig corpus.

Code Block

 
# Corpus preparation: the following command will create documents from the corpus. Sed is used to remove the language prefix

sh bin/opennlp DoccatConverter leipzig -data ../eng_news_2010_300K-text/eng_news_2010_300K-sentences.txt -encoding UTF-8 -lang en | sed -E 's/^en[[:space:]]//g' > ../out-tokenized-documents.test

# Corpus preparation: this forces the detokenization of the documents

sh bin/opennlp SentenceDetectorConverter namefinder -data ../out-tokenized-documents.test -encoding UTF-8 -detokenizer trunk/opennlp-tools/lang/en/tokenizer/en-detokenizer.xml > ../out-documents.test

# Now the actually tests. Execute it for the previous release and for the current RC. Compare the output using diff:

time sh bin/opennlp SentenceDetector ../models/en-sent.bin < ../out-documents.test > ../out-sentences_1.5.2.test

time sh bin/opennlp TokenizerME ../models/en-token.bin < ../out-sentences_1.5.2.test > ../out-toks_1.5.2.test

time sh bin/opennlp TokenNameFinder ../models/en-ner-person.bin < ../out-toks_1.5.2.test > ../out-ner_1.5.2.test

time sh bin/opennlp POSTagger ../models/en-pos-maxent.bin < ../out-toks_1.5.2.test > ../out-pos_maxent_1.5.2.test

time sh bin/opennlp POSTagger ../models/en-pos-perceptron.bin < ../out-toks_1.5.2.test > ../out-pos_pers_1.5.2.test

time sh bin/opennlp ChunkerME ../models/en-chunker.bin < ../out-pos_pers_1.5.2.test > ../out-chk_1.5.2.test

time sh bin/opennlp Parser ../models/en-parser-chunking.bin < ../out-toks_1.5.2.test > ../out-parse_1.5.2.test

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Distribution Review

Notes about testing

Compatibility tests