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This module provides a utility method, "to_identifier" for converting an arbitrary string into a readable representation using the ASCII subset of "\w" for use as an identifier in a computer program. The intent is to make unique identifier names from which the content of the original string can be easily inferred by a human just by reading the identifier.
This module is a rather incomplete implementation of work done by Gudrun Putze-Meier.
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.
This module applies the Porter Stemming Algorithm to its parameters, returning the stemmed Russian (KOI8-R only) word.
This routine applies stemming algorithms to its parameters, returning the stemmed words as appropriate to the selected locale.
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.
Liblouisutdml is a library providing complete braille transcription services for xml, html and text documents. It translates into appropriate braille codes and formats according to its style sheet and the specifications in the document.
libskk is a library to deal with Japanese kana-to-kanji conversion method.
This module converts English text into numbers. It supports both ordinal and cardinal numbers, negative numbers, and very large numbers.
This module uses a modified version of the Porter Stemming Algorithm to return a stemmed French word.
Hime is an extremely easy-to-use input method framework. It is lightweight, stable, powerful and supports many commonly used input methods, including Cangjie, Zhuyin, Dayi, Ranked, Shrimp, Greek, Anthy, Korean, Latin, Random Cage Fighting Birds, Cool Music etc.
This package contains dictionary data derived from ipadic for use with MeCab.
Mecab is a morphological analysis engine developed as a collaboration between the Kyoto university and Nippon Telegraph and Telephone Corporation. The engine is independent of any language, dictionary or corpus.
Lingua::Stem::Snowball::No is a perl port of the norwegian stemmer at http://snowball.tartarus.org.
This module will tell you if a number, either in words or as digits, is a cardinal or ordinal number.
LibStemmer provides stemming library, supporting several languages.
This module attempts to pluralize or singularize short English phrases.
Nimf is a lightweight, fast and extensible input method framework. This package provides a fork of the original nimf project, that focuses especially on Korean input (Hangul, Hanja, ...).
UniDic for morphological analysis is a dictionary for analysis with the morphological analyser MeCab, where the short units exported from the database are used as entries (heading terms).
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.
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.