mootutils - moot Commandline Utilities
The following is a list of the programs and user documentation contained in the libmoot package. See the individual manpages for details.
See the moot manpage for details.
See the mootchurn manpage for details.
See the mootcompile manpage for details.
See the mootconfig manpage for details.
See the mootdump manpage for details.
See the mooteval manpage for details.
See the mootpp manpage for details.
See the mootrain manpage for details.
The mootutils package provides a suite of command-line tools for statistical part-of-speech (PoS) tagging using the libmoot library. In addition to traditional bigram tagging routines, libmoot allows the use of user-specified a priori sets of possible analyses for each input token (``lexical classes''), a technique which has been shown to lead to a reduction in errors of up to 21% with respect to traditional Hidden-Markov-Model (HMM) methods.
Documentation file auto-generated by optgen.perl version 0.04. Translation was initiated on Wed Jul 6 12:52:22 CEST 2005 as:
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Development of this package was supported by the project 'Kollokationen im Wörterbuch' ( ``collocations in the dictionary'', http://www.bbaw.de/forschung/kollokationen ) in association with the project 'Digitales Wörterbuch der deutschen Sprache des 20. Jahrhunderts (DWDS)' ( ``digital dictionary of the German language of the 20th century'', http://www.dwds.de ) at the Berlin-Brandenburgische Akademie der Wissenschaften ( http://www.bbaw.de ) with funding from the Alexander von Humboldt Stiftung ( http://www.avh.de ) and from the Zukunftsinvestitionsprogramm of the German federal government.
I am grateful to Christiane Fellbaum, Alexander Geyken, Gerald Neumann, Edmund Pohl, Alexey Sokirko, and others for offering useful insights in the course of development of this package.
Thomas Hanneforth wrote and maintains the libFSM C++ library for finite-state device operations used by the class-based HMM tagger / disambiguator, without which this package could not have been built.
Alexander Geyken and Thomas Hanneforth developed the rule-based morphological analysis system for German which was used in the development and testing of the class-based HMM tagger / disambiguator.
moot(1),
mootchurn(1),
mootcompile(1),
mootconfig(1),
mootdump(1),
mooteval(1),
mootpp(1),
mootrain(1),
mootm(1)
Bryan Jurish <moocow@ling.uni-potsdam.de>