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  2. Finite-state transducer - Wikipedia

    en.wikipedia.org/wiki/Finite-state_transducer

    A finite-state transducer (FST) is a finite-state machine with two memory tapes, following the terminology for Turing machines: an input tape and an output tape. This contrasts with an ordinary finite-state automaton, which has a single tape. An FST is a type of finite-state automaton (FSA) that maps between two sets of symbols. [1]

  3. Morphological parsing - Wikipedia

    en.wikipedia.org/wiki/Morphological_parsing

    The generally accepted approach to morphological parsing is through the use of a finite state transducer (FST), which inputs words and outputs their stem and modifiers. The FST is initially created through algorithmic parsing of some word source, such as a dictionary, complete with modifier markups.

  4. HFST - Wikipedia

    en.wikipedia.org/wiki/HFST

    Helsinki Finite-State Technology (HFST) is a computer programming library and set of utilities for natural language processing with finite-state automata and finite-state transducers. It is free and open-source software , released under a mix of the GNU General Public License version 3 (GPLv3) and the Apache License .

  5. List of YouTube features - Wikipedia

    en.wikipedia.org/wiki/List_of_YouTube_features

    In September 2012, YouTube launched its first app for the iPhone, following the decision to drop YouTube as one of the preloaded apps in the iPhone 5 and iOS 6 operating system. [112] According to GlobalWebIndex , YouTube was used by 35% of smartphone users between April and June 2013, making it the third-most used app. [ 113 ]

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  7. FST - Wikipedia

    en.wikipedia.org/wiki/FST

    Printable version; In other projects ... move to sidebar hide. FST may refer to: Arts and entertainment . Finlands ... Finite-state transducer; Full-Scale ...

  8. Apertium - Wikipedia

    en.wikipedia.org/wiki/Apertium

    Apertium is a transfer-based machine translation system, which uses finite state transducers for all of its lexical transformations, and Constraint Grammar taggers as well as hidden Markov models or Perceptrons for part-of-speech tagging / word category disambiguation. [2]

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