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Rosa, Rudolf, 2015, MSTperl parser (2015-05-19), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-1480.
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dc.contributor.authorRosa, Rudolf
dc.date.accessioned2015-05-19T09:31:18Z
dc.date.available2015-05-19T09:31:18Z
dc.date.issued2015-05-19
dc.descriptionMSTperl is a Perl reimplementation of the MST parser of Ryan McDonald (http://www.seas.upenn.edu/~strctlrn/MSTParser/MSTParser.html). MST parser (Maximum Spanning Tree parser) is a state-of-the-art natural language dependency parser -- a tool that takes a sentence and returns its dependency tree. In MSTperl, only some functionality was implemented the limitations include the following: the parser is a non-projective one, curently with no possibility of enforcing the requirement of projectivity of the parse trees only first-order features are supported, i.e. no second-order or third-order features are possible the implementation of MIRA is that of a single-best MIRA, with a closed-form update instead of using quadratic programming. On the other hand, the parser supports several advanced features: parallel features, i.e. enriching the parser input with word-aligned sentence in other language adding large-scale information, i.e. the feature set enriched with features corresponding to pointwise mutual information of word pairs in a large corpus (CzEng) weighted/unweighted parser model interpolation combination of several instances of the MSTperl parser (through MST algorithm) combination of several existing parses from any parsers (through MST algorithm). The MSTperl parser is tuned for parsing Czech. Trained models are available for Czech, English and German. We can train the parser for other languages on demand, or you can train it yourself -- the guidelines are part of the documentation. The parser, together with detailed documentation, is avalable on CPAN (http://search.cpan.org/~rur/Treex-Parser-MSTperl/).
dc.description.sponsorshipThe research has been supported by the EU Seventh Framework Programme under grant agreement 247762 (Faust), and by the grants GAUK116310 and GA201/09/H057.
dc.identifier.urihttp://hdl.handle.net/11234/1-1480
dc.language.isoces
dc.language.isoeng
dc.publisherCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/247762
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/610516
dc.relation.replaceshttp://hdl.handle.net/11858/00-097C-0000-0023-7AEB-4
dc.rightsArtistic License 2.0
dc.rights.labelPUB
dc.rights.urihttp://opensource.org/licenses/Artistic-2.0
dc.source.urihttps://ufal.mff.cuni.cz/tools/mstperl-parser
dc.subjectparser
dc.subjectNLP
dc.subjectTreex
dc.subjectparsing
dc.subjectdependency
dc.titleMSTperl parser (2015-05-19)
dc.typetoolService
local.brandingLINDAT / CLARIAH-CZ
local.contact.personRudolf Rosa rosa@ufal.mff.cuni.cz Charles University in Prague, UFAL
local.files.count1
local.files.size83272
local.has.filesyes
local.language.nameCzech
local.language.nameEnglish
local.sponsoreuFunds FP7-ICT-2009-4-247762 European Union Faust info:eu-repo/grantAgreement/EC/FP7/247762
local.sponsornationalFunds GAUK 116310/2010 Grantová agentura Univerzity Karlovy v Praze Anglicko-český strojový překlad s využitím hloubkové syntaxe
local.sponsornationalFunds GD201/09/H057 Grantová agentura České republiky Res Informatica
local.sponsornationalFunds GAUK 15723/2014 Grantová agentura Univerzity Karlovy v Praze Modelování závislostní syntaxe napříč jazyky
local.sponsoreuFunds FP7-ICT-2013-10-610516 European Union Quality Translation by Deep Language Engineering Approaches (QTLeap) info:eu-repo/grantAgreement/EC/FP7/610516
local.sponsornationalFunds SVV 260 224 Univerzita Karlova v Praze (mimo GAUK) Specifický vysokoškolský výzkum
metashare.ResourceInfo#ContactInfo#PersonInfo#OrganizationInfo#CommunicationInfo.emailrosa@ufal.mff.cuni.cz
metashare.ResourceInfo#ContactInfo#PersonInfo#OrganizationInfo.organizationNameCharles University in Prague, UFAL
metashare.ResourceInfo#ContactInfo#PersonInfo.givenNameRudolf
metashare.ResourceInfo#ContactInfo#PersonInfo.surnameRosa
metashare.ResourceInfo#ContentInfo.detailedTypetool
metashare.ResourceInfo#ContentInfo.resourceTypetoolService
metashare.ResourceInfo#DistributionInfo#LicenseInfo.licenseArtistic License 2.0
metashare.ResourceInfo#DistributionInfo#LicenseInfo.licenseGNU GPL 3
metashare.ResourceInfo#DistributionInfo.availabilityunrestrictedUse
metashare.ResourceInfo#IdentificationInfo.resourceNameMSTperl parser
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependenttrue

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  • Treex
    • Tool
      • Parser
        • MSTperl
          • MultiModelParser.pm10 kB
          • TrainerLabelling.pm25 kB
          • scripts
            • test_labeller_tsv.pl2 kB
            • unlabelled_test_rur.sh303 B
            • test_conll_multiplefiles_printout.pl1 kB
            • test_conll.pl1 kB
            • TagMorceEnglishCoNLL.pl1 kB
            • pcedt2conll.sh564 B
            • test_conll_multimodel_weighted_f_printout.pl1 kB
            • test_conll_treecomb_weighted_f_printout.pl2 kB
            • test_conll_multimodel_weighted.pl1 kB
            • labelled_parse_test.sh493 B
            • test_rur_conll.pl1 kB
            • test_conll_treecomb_weighted.pl2 kB
            • unlabelled_train_and_test.sh538 B
            • labeller_test.sh428 B
            • unlabelled_test.sh295 B
            • test_conll_multimodel_weighted_norm.pl1 kB
            • pdtT2conll.sh377 B
            • labeller_train_and_test.sh589 B
            • pcedt2conll_tag_and_parse_en_worsen_cs.sh898 B
            • worsen_pcedt.sh787 B
            • conll2inline.pl449 B
            • train_conll.pl855 B
            • test_conll_multimodel_weighted_f.pl1 kB
            • compare_lines.pl1 kB
            • test_conll_treecomb_weighted_f.pl2 kB
            • inline2conll.pl398 B
            • test_conll_multimodel.pl1 kB
            • pcedt2conll_td.sh545 B
            • train_labeller_tsv.pl1 kB
            • test_conll_multimodel_weighted_f_norm.pl1 kB
            • split_afun_ismember.sh332 B
            • inline_sentences_reorder.pl630 B
            • test_parse_and_label.pl2 kB
            • test_conll_parsecomb.pl1 kB
            • test_conll_multimodel_weighted_f_norm_printout.pl1 kB
            • simple_lemmas.pl708 B
            • test_conll_parsecomb_weighted.pl1 kB
            • pcedt2conll_tag_and_parse_en.sh668 B
            • test_conll_multiplefiles.pl1 kB
            • test_conll_treecomb_weighted_f_multiconf.pl2 kB
            • make_czech_tags.pl681 B
            • test_conll_multimodel_weighted_f_multiconf.pl1 kB
          • ModelUnlabelled.pm8 kB
          • Parser.pm6 kB
          • ModelLabelling.pm43 kB
          • Reader.pm2 kB
          • ModelBase.pm6 kB
          • Labeller.pm28 kB
          • t
            • train_and_test.t6 kB
            • sample_test.tsv2 kB
            • sample_train.tsv4 kB
            • sample.config7 kB
          • samples
            • treex_input.txt813 B
            • sample_train.sh73 B
            • sample.config5 kB
            • train_tsv.pl850 B
            • treex_parse.scen721 B
            • train_labeller_tsv.pl1021 B
            • sample_test.sh68 B
            • labeller_test.sh82 B
            • test_tsv.pl1 kB
            • labeller_train.sh86 B
            • sample_test.tsv2 kB
            • sample_train.tsv4 kB
            • test_labeller_tsv.pl2 kB
          • FeaturesControl.pm56 kB
          • ParsedSentencesCombiner.pm3 kB
          • Node.pm5 kB
          • Edge.pm4 kB
          • TrainerBase.pm8 kB
          • Sentence.pm18 kB
          • TrainerUnlabelled.pm11 kB
          • ModelAdditional.pm7 kB
          • Writer.pm2 kB
          • RootNode.pm1 kB
          • MultiHeteroModelParser.pm3 kB
          • ParserCombiner.pm4 kB
          • Config.pm31 kB
        • MSTperl.pm10 kB
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