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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]
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 .
The section about "Operations on finite state transducers" is a also a bit misleading (though correct) in this respect. Although there is no notion of the intersection of two FSTs it should be pointed out, that this is due to the fact that the language class of regular relations is not closed under intersection (Proof sketch: the intersection ...
FST may refer to: Arts and entertainment ... Free Southern Theater, in Mississippi, ... Finite-state transducer; Full-Scale Tunnel, a demolished NASA wind tunnel ...
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 ]
With the advancement of neural networks in natural language processing, it became less common to use FST for morphological analysis, especially for languages for which there is a lot of available training data. For such languages, it is possible to build character-level language models without explicit use of a morphological parser. [1]
Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
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