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Revision 752019-07-18 - KyleGorman

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Revision 742019-07-17 - KyleGorman

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Revision 732019-07-13 - KyleGorman

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Revision 722019-07-02 - KyleGorman

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Revision 712019-04-04 - KyleGorman

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Revision 702019-03-28 - KyleGorman

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Revision 692019-03-22 - KyleGorman

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Revision 682018-12-21 - KyleGorman

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Revision 672018-10-22 - KyleGorman

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training and decoding (v. 0.2.4, compatible with OpenFst 1.6.9)
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Revision 662018-07-24 - KyleGorman

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Revision 652018-07-02 - KyleGorman

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training and decoding (v. 0.2.2, compatible with OpenFst 1.6.8)
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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training and decoding (v. 0.2.3, compatible with OpenFst 1.6.8)
 
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META FILEATTACHMENT attr="" autoattached="1" comment="OpenFst code and Visual Studio solution for Windows" date="1236411581" name="openfstwin.zip" path="openfstwin.zip" size="709542" user="Main.PaulDixon" version="1"
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Revision 642018-06-22 - KyleGorman

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Revision 632018-04-24 - MichaelRiley

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 to the OpenFst Library.
Please add to this as appropriate. If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the administrator.
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ALERT! Note some registrations before May 2018 were lost due to a system failure. If so, please re-register.
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ALERT! Note some registrations before May 2018 were lost due to a system failure. If affected, please re-register.
 

Projects/Contributions using the OpenFst Library

Revision 622018-04-24 - MichaelRiley

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OpenFst Library: Contributed and related projects

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to the OpenFst Library. Please add to this as appropriate. If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the administrator.
>
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to the OpenFst Library.
Please add to this as appropriate. If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the administrator.
ALERT! Note some registrations before May 2018 were lost due to a system failure. If so, please re-register.
 

Projects/Contributions using the OpenFst Library

Revision 602018-03-03 - KyleGorman

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training and decoding (v. 0.2.0)
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Revision 592018-02-09 - KyleGorman

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training (v. 0.1.5)
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Revision 582018-01-28 - KyleGorman

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If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the TWiki administrator.
>
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If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the administrator.
 

Projects/Contributions using the OpenFst Library

Changed:
<
<
  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training (v. 0.1.4)
>
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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training (v. 0.1.5)
 
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Revision 572017-12-02 - KyleGorman

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Projects/Contributions using the OpenFst Library

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
>
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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training (v. 0.1.4)
 
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Revision 562017-11-02 - KyleGorman

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Projects/Contributions using the OpenFst Library

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
>
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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
 
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Revision 552017-08-03 - KyleGorman

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OpenFst Library: Contributed and related projects

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Added:
>
>
  • Specializer: Python library for attaching special matchers
 
  • Bash completions for OpenFst: Bash completions file to suggest flags and values
  • OpenFst for Windows: OpenFst library and command line tools for Windows compiled with Visual Studio.
  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler

Revision 542017-07-12 - KyleGorman

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OpenFst Library: Contributed and related projects

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Projects/Contributions using the OpenFst Library

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
>
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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
 
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Revision 532017-03-14 - KyleGorman

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Projects/Contributions using the OpenFst Library

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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
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  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
 
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>
>
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Changed:
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Revision 522017-02-06 - KyleGorman

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OpenFst Library: Contributed and related projects

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Projects/Contributions using the OpenFst Library

Added:
>
>
  • Baum-Welch: OpenFst library for Baum-Welch/expectation-maximization training
 
Changed:
<
<
>
>
 
  • OpenFst for Windows: OpenFst library and command line tools for Windows compiled with Visual Studio.
Changed:
<
<
  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler.
>
>
  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler
 
  • UCAM-SMT: The Cambridge Statistical Machine Translation system
  • Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations
Changed:
<
<

Related/Historical projects

Weighted finite-state transducers

>
>

Speech recognition & synthesis

 
Changed:
<
<
  • FSM Library: a general-purpose software library for building, combining, optimizing, and searching weighted automata and transducers.
>
>
  • G2P conversion with OpenFst: Grapheme-to-phoneme conversion toolkit utilizing the OpenFst library
  • Kaldi: Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers
  • OpenDcd: A lightweight and portable WFST based speech decoding toolkit written in C++, providing a set of tools for decoding, cascade construction and hypothesis post-processing
 
Changed:
<
<

Text processing, grammar compilation and language modeling

  • GRM Library: a general software collection for constructing and modifying weighted automata and transducers representing weighted grammars or statistical language models.
  • LextoolsExternal site: a collection of tools for compiling high-level linguistic descriptions into weighted transducers. CLOSED

Speech recognition & synthesis

>
>

Related/Historical projects

 
Changed:
<
<
  • DCD LibraryExternal site: software collection for decoding and related functions, designed for speech recognition and other applications. CLOSED
  • G2P conversion with OpenFst: Grapheme-to-Phoneme conversion toolkit utilizing the OpenFst library.
  • Kaldi: Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
  • OpenDcd: is a lightweight and portable WFST based speech decoding toolkit written in C++. OpenDcd provides a set of tools for decoding, cascade construction and hypothesis post- processing.
>
>
  • FSM Library: a general-purpose software library for building, combining, optimizing, and searching weighted automata and transducers CLOSED
  • Lextools: a collection of tools for compiling high-level linguistic descriptions into weighted transducers CLOSED
  • DCD Library: software collection for decoding and related functions, designed for speech recognition and other applications. CLOSED
 

Revision 512017-02-06 - KyleGorman

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OpenFst Library: Contributed and related projects

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Projects/Contributions using the OpenFst Library

Deleted:
<
<
 
Changed:
<
<
  • G2P conversion with OpenFst: Grapheme-to-Phoneme conversion toolkit utilizing the OpenFst library.
  • Kaldi: Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
  • Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations
  • OpenDcd: is a lightweight and portable WFST based speech decoding toolkit written in C++. OpenDcd provides a set of tools for decoding, cascade construction and hypothesis post- processing.
>
>
 
  • OpenFst for Windows: OpenFst library and command line tools for Windows compiled with Visual Studio.
  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler.
Added:
>
>
 
  • UCAM-SMT: The Cambridge Statistical Machine Translation system
Added:
>
>
  • Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations
 

Related/Historical projects

Line: 32 to 30
 
  • GRM Library: a general software collection for constructing and modifying weighted automata and transducers representing weighted grammars or statistical language models.
  • LextoolsExternal site: a collection of tools for compiling high-level linguistic descriptions into weighted transducers. CLOSED
Changed:
<
<

Speech recognition

>
>

Speech recognition & synthesis

 
  • DCD LibraryExternal site: software collection for decoding and related functions, designed for speech recognition and other applications. CLOSED
Added:
>
>
  • G2P conversion with OpenFst: Grapheme-to-Phoneme conversion toolkit utilizing the OpenFst library.
  • Kaldi: Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
  • OpenDcd: is a lightweight and portable WFST based speech decoding toolkit written in C++. OpenDcd provides a set of tools for decoding, cascade construction and hypothesis post- processing.
 

Revision 502016-07-06 - MichaelRiley

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OpenFst Library: Contributed and related projects

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 If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the TWiki administrator.
Changed:
<
<

Projects using the OpenFst Library

>
>

Projects/Contributions using the OpenFst Library

 
Deleted:
<
<
  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler.
  • OpenFst for Windows: OpenFst library and command line tools for Windows compiled with Visual Studio.
 
Added:
>
>
 
Added:
>
>
  • Kaldi: Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
  • Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations
  • OpenDcd: is a lightweight and portable WFST based speech decoding toolkit written in C++. OpenDcd provides a set of tools for decoding, cascade construction and hypothesis post- processing.
  • OpenFst for Windows: OpenFst library and command line tools for Windows compiled with Visual Studio.
  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler.
 
  • UCAM-SMT: The Cambridge Statistical Machine Translation system
Deleted:
<
<
  • The Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations -- KennethR Beesley - 2014-07-09
  • OpenDcd: is a lightweight and portable WFST based speech decoding toolkit written in C++. OpenDcd provides a set of tools for decoding, cascade construction and hypothesis post- processing.

Related projects

 
Changed:
<
<

Weighted finite-state transducers

>
>

Related/Historical projects

Weighted finite-state transducers

 
  • FSM Library: a general-purpose software library for building, combining, optimizing, and searching weighted automata and transducers.
Changed:
<
<

Text processing, grammar compilation and language modeling

>
>

Text processing, grammar compilation and language modeling

 
  • GRM Library: a general software collection for constructing and modifying weighted automata and transducers representing weighted grammars or statistical language models.
Added:
>
>
  • LextoolsExternal site: a collection of tools for compiling high-level linguistic descriptions into weighted transducers. CLOSED
 
Deleted:
<
<
  • LextoolsExternal site: a collection of tools for compiling high-level linguistic descriptions into weighted transducers.

Speech recognition

 
Changed:
<
<
  • DCD LibraryExternal site: software collection for decoding and related functions, designed for speech recognition and other applications.
>
>

Speech recognition

 
Changed:
<
<

Discussion forums

Coming soon.

>
>
  • DCD LibraryExternal site: software collection for decoding and related functions, designed for speech recognition and other applications. CLOSED
 
<--  
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Changed:
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Revision 492014-09-02 - PaulDixon

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OpenFst Library: Contributed and related projects

Line: 17 to 17
 
  • G2P conversion with OpenFst: Grapheme-to-Phoneme conversion toolkit utilizing the OpenFst library.
  • UCAM-SMT: The Cambridge Statistical Machine Translation system
  • The Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations -- KennethR Beesley - 2014-07-09
Added:
>
>
  • OpenDcd: is a lightweight and portable WFST based speech decoding toolkit written in C++. OpenDcd provides a set of tools for decoding, cascade construction and hypothesis post- processing.
 

Related projects

Weighted finite-state transducers

Revision 482014-08-26 - RichardSproat

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Revision 472014-07-10 - RichardSproat

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Added:
>
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META FILEATTACHMENT attachment="categorial-1.3.3.tar.gz" attr="" comment="Categorial semiring as described in Sproat et al. 2014 (http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00198)" date="1405009212" name="categorial-1.3.3.tar.gz" path="categorial-1.3.3.tar.gz" size="331632" user="RichardSproat" version="1"
 
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Revision 462014-07-09 - KennethRBeesley

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  • The Kleene Language: Kleene is based on OpenFst but includes some features borrowed from the Xerox Finite State Toolkit; it supports Perl-like regular expressions, right-linear phrase-structure grammars, functions and rule-like notations -- KennethR Beesley - 2014-07-09
 

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Weighted finite-state transducers

Revision 452014-06-04 - BillByrne

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Revision 442012-04-01 - BrianRoark

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  • OpenGrm Libraries: OpenGrm is a collection of open-source libraries for constructing, combining, applying and searching formal grammars including the NGram Library and the Thrax Grammar Compiler.
 

Revision 432011-04-29 - JosefNovak

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Revision 422011-02-21 - PaulDixon

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Revision 412009-03-15 - MichaelRiley

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  Coming soon.
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Revision 402009-03-13 - MichaelRiley

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Revision 392009-03-13 - MichaelRiley

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  This TWiki topic is meant for hosting projects or links to projects using or related to the OpenFst Library. Please add to this as appropriate.
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If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the TWiki administrator.
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If you host here, please keep your resource usage modest. If you do not have edit permissions, please contact the TWiki administrator.
 

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Revision 382009-03-11 - CyrilAllauzen

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Revision 372009-03-07 - PaulDixon

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  • FSM Library: a general-purpose software library for building, combining, optimizing, and searching weighted automata and transducers.
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Text processing, grammar compilation and language modeling tools

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Text processing, grammar compilation and language modeling

 
  • GRM Library: a general software collection for constructing and modifying weighted automata and transducers representing weighted grammars or statistical language models.

  • LextoolsExternal site: a collection of tools for compiling high-level linguistic descriptions into weighted transducers.
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Speech recognition

  • DCD LibraryExternal site: software collection for decoding and related functions, designed for speech recognition and other applications.

 

Discussion forums

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Text processing, grammar compilation and language modeling tools

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Text processing, grammar compilation and language modeling tools

 
  • GRM Library: a general software collection for constructing and modifying weighted automata and transducers representing weighted grammars or statistical language models.

  • LextoolsExternal site: a collection of tools for compiling high-level linguistic descriptions into weighted transducers.
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Discussion forums

Coming soon.

 

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OpenFst Library

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OpenFst Library: Contributions and related work

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Weighted finite-state transducer tools

  • FSM Library: a general-purpose software library for building, combining, optimizing, and searching weighted automata and transducers.

Text processing, grammar compilation and language modeling tools

  • GRM Library: a general software collection for constructing and modifying weighted automata and transducers representing weighted grammars or statistical language models.

 
Deleted:
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OpenFst is a library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs). Weighted finite-state transducers are automata where each transition has an input label, an output label, and a weight. The more familiar finite-state acceptor is represented as a transducer with each transition's input and output label equal. Finite-state acceptors are used to represent sets of strings (specifically, regular or rational sets); finite-state transducers are used to represent binary relations between pairs of strings (specifically, rational transductions). The weights can be used to represent the cost of taking a particular transition.

FSTs have key applications in speech recognition and synthesis, machine translation, optical character recognition, pattern matching, string processing, machine learning, information extraction and retrieval among others. Often a weighted transducer is used to represent a probabilistic model (e.g., an n-gram model, pronunciation model). FSTs can be optimized by determinization and minimization, models can be applied to hypothesis sets (also represented as automata) or cascaded by finite-state composition, and the best results can be selected by shortest-path algorithms.

This library was developed at Google Research (M. Riley, J. Schalkwyk, W. Skut) and NYU's Courant Institute (C. Allauzen, M. Mohri). It is intended to be comprehensive, flexible, efficient and scale well to large problems. It is an open source project distributed under the Apache license.

 
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Revision 302007-07-12 - MichaelRiley

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 models can be applied to hypothesis sets (also represented as automata) or cascaded by finite-state composition, and the best results can be selected by shortest-path algorithms.
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This library was developed at Google Research (M. Riley, J. Schalkwyk, W. Skut) and NYU's Courant Institute
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Revision 272007-07-06 - CyrilAllauzen

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This library was developed at Google Research (M. Riley, J. Schalkwyk, W. Skut) and NYU's Courant Institute

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(C. Allauzen, M. Mohri). It is intended to be comprehensive, flexible, efficient and scale well to large problems.. It is an open source project distributed under the Apache license.
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Revision 262007-07-05 - CyrilAllauzen

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by finite-state composition, and the best results can be selected by shortest-path algorithms.
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Revision 252007-07-04 - MichaelRiley

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This library was developed at Google Research (M. Riley, J. Schalkwyk, W. Skut) and NYU's Courant Institute

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(C. Allauzen, M. Mohri). It is an open source project distributed under the Apache license.

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Revision 242007-06-21 - MichaelRiley

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 string processing, machine learning, information extraction and retrieval among others. Often a weighted transducer is used to represent a probabilistic model (e.g., an n-gram model,
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pronunciation model). FSTs can be optimized by determinization and minimization,
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pronunciation model). FSTs can be optimized by determinization and minimization,
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Revision 232007-06-16 - MichaelRiley

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input label, an output label, and a weight. The more familiar
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by finite-state composition, and the best results can be selected by shortest-path algorithms.
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by finite-state composition, and the best results can be selected by shortest-path algorithms.
  This library was developed at Google Research (M. Riley, J. Schalkwyk, W. Skut) and NYU's Courant Institute (C. Allauzen, M. Mohri). It is an open source project distributed under the Apache license.

Revision 212007-06-15 - CyrilAllauzen

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Revision 192007-06-14 - MichaelRiley

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 finite-state transducers are automata where each transition has an input label, an output label, and a weight. The more familiar finite-state acceptor is represented as a transducer with each
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transition's input and output label equal. Finite-state acceptors
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FSTs have been applied to a variety of problems in speech and text processing, OCR, and information retrieval. Typically a weighted transducer is used to represent either hypothesis sets (e.g., word lattices) or probabilistic models (e.g., ngram models, pronunciation models). The FSTs can be optimized by determinization and minimization, models can be applied to hypothesis sets via finite-state composition, and the best results can be selected by shortest-path algorithms.
>
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FSTs have key applications in speech recognition and synthesis, machine translation, optical character recognition, pattern matching, string processing, machine learning, information extraction and retrieval among others. Often a weighted transducer is used to represent a probabilistic model (e.g., an n-gram model, pronunciation model). FSTs can be optimized by determinization and minimization, models can be applied to hypothesis sets (also represented as automata) or cascaded by finite-state composition, and the best results can be selected by shortest-path algorithms.
 
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 binary relations between pairs of strings (specifically, rational transductions). The weights can be used to represent the cost of taking a particular transition.
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FSTs have been applied to a variety of problems in speech, natural language processing and information retrieval. Typically a weighted transducer is used to represent either hypothesis sets (e.g., speech lattices) or probabilistic models (e.g., language models or pronunciation models). The FSTs can be optimized by determinization and minimization,
>
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FSTs have been applied to a variety of problems in speech and text processing, OCR, and information retrieval. Typically a weighted transducer is used to represent either hypothesis sets (e.g., word lattices) or probabilistic models (e.g., ngram models, pronunciation models). The FSTs can be optimized by determinization and minimization,
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FST Library

This is a library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs). Weighted finite-state transducers are automata where each transition has an input label, an output label, and a weight. The more familiar finite-state acceptor is represented as a transducer with each transition's input and output the same. Finite-state acceptors are used to represent sets of strings (specifically, regular or rational sets); finite-state transducers are used to represent binary relations between pairs of strings (specifically, rational transductions). The weights can be used to represent the cost of taking a particular transition.

FSTs have been applied to a variety of problems in speech, natural language processing and information retrieval. Typically a weighted transducer is used to represent either hypothesis sets (e.g., speech lattices) or probabilistic models (e.g., language models or pronunciation models). The FSTs can be optimized by determinization and minimization, models can be applied to hypothesis sets via finite-state composition, and the best results can be selected by shortest-path algorithms.

 

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Notes:

  • You are currently in the Contrib web. The color code for this web is this background, so you know where you are.
  • If you are not familiar with the TWiki collaboration platform, please visit WelcomeGuest first.

Web Description Links
TWiki home with users and groups for access control
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TWiki documentation, welcome guest and user registration
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Contributions and work related to the OpenFst library
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Discussion forums
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GRM
GRM Project Wiki
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TIP Webs are color-coded for identification and reference. Contact fst@openfst.org if you need a workspace web for your team.

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Revision 42002-04-14 - PeterThoeny

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Maintenance of the Contrib web

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  • WebChanges: Find out recent modifications to the TWiki.Contrib web.
  • WebIndex: Display all TWiki.Contrib topics in alphabetical order. See also the faster WebTopicList
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  • WebStatistics: View access statistics of the TWiki.Contrib web.
  • WebPreferences: Preferences of the TWiki.Contrib web.
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Site Tools of the Contrib Web

  Notes:
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  • You are currently in the TWiki.Contrib web. The color code for this web is a (SPECIFY COLOR) background, so you know where you are.
  • If you are not familiar with the TWiki collaboration tool, please visit WelcomeGuest in the TWiki.TWiki web first.
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  • You are currently in the Contrib web. The color code for this web is this background, so you know where you are.
  • If you are not familiar with the TWiki collaboration platform, please visit WelcomeGuest first.
 
Web Description Links
TWiki home with users and groups for access control
Search Changes Notification Statistics Preferences
TWiki documentation, welcome guest and user registration
Search Changes Notification Statistics Preferences
Contributions and work related to the OpenFst library
Search Changes Notification Statistics Preferences
FST
FST Library Wiki
Search Changes Notification Statistics Preferences
Discussion forums
Search Changes Notification Statistics Preferences
GRM
GRM Project Wiki
Search Changes Notification Statistics Preferences
OpenKernel Library Wiki
Search Changes Notification Statistics Preferences
Sandbox web to experiment in an open hands-on area
Search Changes Notification Statistics Preferences
TWiki home with users and groups for access control
Search Changes Notification Statistics Preferences
TIP Webs are color-coded for identification and reference. Contact fst@openfst.org if you need a workspace web for your team.

Legend:   Search topic Search the web
Recent changes See recent changes in the web
Notify Subscribe to get notified of changes by e-mail
Statistics Usage statistics of the web
Wrench, tools Web-specific preferences

Revision 32002-04-07 - PeterThoeny

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 Welcome to the home of TWiki.Contrib. This is a web-based collaboration area for ...

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  • You are currently in the TWiki.Contrib web. The color code for this web is a (SPECIFY COLOR) background, so you know where you are.
  • If you are not familiar with the TWiki collaboration tool, please visit WelcomeGuest in the TWiki.TWiki web first.
Changed:
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Warning: Can't find topic TWiki.TWikiWebsTable
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Web Description Links
TWiki home with users and groups for access control
Search Changes Notification Statistics Preferences
TWiki documentation, welcome guest and user registration
Search Changes Notification Statistics Preferences
Contributions and work related to the OpenFst library
Search Changes Notification Statistics Preferences
FST
FST Library Wiki
Search Changes Notification Statistics Preferences
Discussion forums
Search Changes Notification Statistics Preferences
GRM
GRM Project Wiki
Search Changes Notification Statistics Preferences
OpenKernel Library Wiki
Search Changes Notification Statistics Preferences
Sandbox web to experiment in an open hands-on area
Search Changes Notification Statistics Preferences
TWiki home with users and groups for access control
Search Changes Notification Statistics Preferences
TIP Webs are color-coded for identification and reference. Contact fst@openfst.org if you need a workspace web for your team.

Legend:   Search topic Search the web
Recent changes See recent changes in the web
Notify Subscribe to get notified of changes by e-mail
Statistics Usage statistics of the web
Wrench, tools Web-specific preferences

Revision 22001-11-24 - PeterThoeny

Line: 1 to 1
 Welcome to the home of TWiki.Contrib. This is a web-based collaboration area for ...

Line: 8 to 8
 
  •    (More options in WebSearch)
  • WebChanges: Find out recent modifications to the TWiki.Contrib web.
Changed:
<
<
  • WebIndex: Display all TWiki.Contrib topics in alphabetical order.
>
>
  • WebIndex: Display all TWiki.Contrib topics in alphabetical order. See also the faster WebTopicList
 
  • WebNotify: Subscribe to be automatically notified when something changes in the TWiki.Contrib web.
  • WebStatistics: View access statistics of the TWiki.Contrib web.
  • WebPreferences: Preferences of the TWiki.Contrib web.

Revision 12001-08-08 - PeterThoeny

Line: 1 to 1
Added:
>
>
Welcome to the home of TWiki.Contrib. This is a web-based collaboration area for ...

Maintenance of the Contrib web

  •    (More options in WebSearch)
  • WebChanges: Find out recent modifications to the TWiki.Contrib web.
  • WebIndex: Display all TWiki.Contrib topics in alphabetical order.
  • WebNotify: Subscribe to be automatically notified when something changes in the TWiki.Contrib web.
  • WebStatistics: View access statistics of the TWiki.Contrib web.
  • WebPreferences: Preferences of the TWiki.Contrib web.

Notes:

  • You are currently in the TWiki.Contrib web. The color code for this web is a (SPECIFY COLOR) background, so you know where you are.
  • If you are not familiar with the TWiki collaboration tool, please visit WelcomeGuest in the TWiki.TWiki web first.

Warning: Can't find topic TWiki.TWikiWebsTable

 
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