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This routine applies stemming algorithms to its parameters, returning the stemmed words as appropriate to the selected locale.
This module applies the Porter Stemming Algorithm to its parameters, returning the stemmed Italian word.
This package contains dictionary data derived from ipadic for use with MeCab.
This module implements a Portuguese stemming algorithm proposed in the paper A Stemming Algorithm for the Portuguese Language by Moreira, V. and Huyck, C.
This module will tell you if a number, either in words or as digits, is a cardinal or ordinal number.
Liblouis is a braille translator and back-translator named in honor of Louis Braille. It features support for computer and literary braille, supports contracted and uncontracted translation for many languages and has support for hyphenation. New languages can easily be added through tables that support a rule- or dictionary based approach. Tools for testing and debugging tables are also included. Liblouis also supports math braille, Nemeth and Marburg.
Lingua::EN::Inflect provides plural inflections, "a"/"an" selection for English words, and manipulation of numbers as words. Plural forms of all nouns, most verbs, and some adjectives are provided. Where appropriate, "classical" variants (for example: "brother" -> "brethren", "dogma" -> "dogmata", etc.) are also provided.
Lingua::Stem::Snowball::Da is a perl port of the danish stemmer at http://snowball.sourceforge.net, it was originally altered from the Lingua::Stem::Snowball::Se.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
This is an official neural network of a ``main run'' of the Leela Chess Zero project that was finished being trained in January of 2022.
T1 is currently one of the best neural networks for Leela Chess Zero, however, it was superseded by the neural network T2.
This is an official neural network of a ``main run'' of the Leela Chess Zero project. The network was finished being trained in September of 2023.
This is a smaller version of the T1 neural network, which is currently one of the best neural networks for Leela Chess Zero.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
This is a smaller version of the T1 neural network, which is currently one of the best neural networks for Leela Chess Zero.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
Leela Chess Zero is a UCI-compliant chess engine designed to play chess using neural networks. This package does not provide a neural network, which is necessary to use Leela Chess Zero and should be installed separately.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
T2 is currently one of the best neural networks for Leela Chess Zero, superseding the neural network T1.
Maia’s goal is to play the human move, not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time.
This is an official neural network of the Leela Chess Zero project that was finished being trained in April of 2022.