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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]
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.
The library and utilities are written in C++, with an interface to the library in Python and a utility for looking up results from transducers ported to Java and Python. Transducers in HFST may incorporate weights depending on the backend. For performing FST operations, this is currently only possible via the OpenFST backend.
Every single slang word or phrase listed in this article must be backed up by a reference. This is not negotiable. A reference, in this case, is not source using the slang word or phrase. It must be a (reliable) source discussing or attesting the existence of that slang word or phrase, like a book about Spanish slang or even a dictionary.
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I disagree. Mealy machines are a particular kind of transducer, contrasted with Moore machines. For some applications (e.g. speech recognition) the Mealy interpretation is most common, but for others (e.g. bioinformatics) the Moore machine view is more common, and the word "transducer" is more commonly used than either Moore or Mealy machines.
Naco (fem. naca) is a pejorative word often used in Mexican Spanish that may be translated into English as "low-class", "uncultured", "vulgar" or "uncivilized ". [1] A naco (Spanish: ⓘ) is usually associated with lower socio-economic classes. Although, it is used across all socioeconomic classes, when associated with middle - upper income ...