MSTperl parser (2015-05-19)

Title:

MSTperl parser (2015-05-19)

Creator:

Rosa, Rudolf

Contributor:

European Union@@FP7-ICT-2009-4-247762@@Faust@@euFunds@@info:eu-repo/grantAgreement/EC/FP7/247762, Grantová agentura Univerzity Karlovy v Praze@@GAUK 116310/2010@@Anglicko-český strojový překlad s využitím hloubkové syntaxe@@nationalFunds@@, Grantová agentura České republiky@@GD201/09/H057@@Res Informatica@@nationalFunds@@, Grantová agentura Univerzity Karlovy v Praze@@GAUK 15723/2014@@Modelování závislostní syntaxe napříč jazyky@@nationalFunds@@, European Union@@FP7-ICT-2013-10-610516@@Quality Translation by Deep Language Engineering Approaches (QTLeap)@@euFunds@@info:eu-repo/grantAgreement/EC/FP7/610516, and Univerzita Karlova v Praze (mimo GAUK)@@SVV 260 224@@Specifický vysokoškolský výzkum@@nationalFunds@@

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-1480

Subject:

parser, NLP, Treex, parsing, and dependency

Type:

toolService and tool

Description:

MSTperl 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/). and The research has been supported by the EU Seventh Framework Programme under grant agreement 247762 (Faust), and by the grants GAUK116310 and GA201/09/H057.

Language:

Czech and English

Rights:

Artistic License 2.0
http://opensource.org/licenses/Artistic-2.0
PUB

Relation:

info:eu-repo/grantAgreement/EC/FP7/247762
info:eu-repo/grantAgreement/EC/FP7/610516
http://hdl.handle.net/11858/00-097C-0000-0023-7AEB-4

Source:

https://ufal.mff.cuni.cz/tools/mstperl-parser

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2015-05-19