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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]
Foma is a free and open source finite-state toolkit created and maintained by Mans Hulden.It includes a compiler, programming language, and C library for constructing finite-state automata and transducers (FST's) for various uses, most typically Natural Language Processing uses such as morphological analysis.
This includes people from Mexico, Puerto Rico, Cuba, Central and South America and Brazil, but excludes people from Spain. The census uses two separate questions : one for Hispanic or Latino ...
The only indigenous language spoken by more than a million people in Mexico is the Nahuatl language; the other Native American languages with a large population of native speakers (at least 400,000 speakers) include Yucatec Maya, Tzeltal Maya, Tzotzil Maya, Mixtec, and Zapotec.
When Laura Pantoja immigrated to Santa Ana from Mexico City in the early 1990s, she could choose from about a dozen local newspapers in her native language. Column: The death of California's ...
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 .
Portuguese immigrants had no difficulty adapting into New Spanish society because they were Catholics and accountable to the Spanish Crown for taxation. During the Mexican War of Independence , Mexicans did not distinguish between Spanish and Portuguese colonists who were on the side of the Spanish Crown, many of whom were killed or expelled.
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]