Wrap words to a specified length.
Wrap words to a specified length.
Word Processing Document library
Check if a character is a word character
TypeScript definitions for pluralize
Pluralize a word
Platform float word order.
Highlight a portion of text in a string
Word and character count feature for CKEditor 5.
Transforms css values and at-rule params into the tree
Generate word clouds in JavaScript.
High word mask for the sign bit of a double-precision floating-point number.
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
High word mask for excluding the sign bit of a double-precision floating-point number.
Node.js package to read Word .doc files
High word mask for the exponent of a double-precision floating-point number.
PostCSS plugin to replace overflow-wrap with word-wrap or optionally retain both declarations.
Split a double-precision floating-point number into a higher order word and a lower order word.
Import from Word feature for CKEditor 5.
Set the more significant 32 bits of a double-precision floating-point number.
Set the less significant 32 bits of a double-precision floating-point number.
High word mask for the significand of a double-precision floating-point number.
Pluralize and singularize any word
Export to Word feature for CKEditor 5.
Fast English word segmentation
Thai natural language processing library, with Python and Node bindings
Command line interface for nlpO3, a Thai natural language processing library
Unicode annex 29 compliant word segmentation
Japanese Word Segmenter
English sentence and word segmentation rules. The sentence segmentation rules are based on Marcin Miłkowski's SRX rules.
Polish sentence and word segmentation rules. The sentence segmentation rules are based on Marcin Miłkowski's SRX rules.
rmmseg-cpp is a high performance Chinese word segmentation utility for Ruby. It features full "Ferret":http://ferret.davebalmain.com/ integration as well as support for normal Ruby program usage. rmmseg-cpp is a re-written of the original RMMSeg(http://rmmseg.rubyforge.org/) gem in C++. RMMSeg is written in pure Ruby. Though I tried hard to tweak RMMSeg, it just consumes lots of memory and the segmenting process is rather slow. The interface is almost identical to RMMSeg but the performance is much better. This gem is always preferable in production use. However, if you want to understand how the MMSEG segmenting algorithm works, the source code of RMMSeg is a better choice than this.
RMMSeg is an implementation of MMSEG Chinese word segmentation algorithm. It is based on two variants of maximum matching algorithms. Two algorithms are available for using: * simple algorithm that uses only forward maximum matching. * complex algorithm that uses three-word chunk maximum matching and 3 additonal rules to solve ambiguities. For more information about the algorithm, please refer to the following essays: * http://technology.chtsai.org/mmseg/ * http://pluskid.lifegoo.com/?p=261
A high performance package for doing Chinese word segmentation.
A Chinese Word Segmentation(中文分词) routine in pure Ruby
A Ruby wrapper of wordcut-engine - a word segmentation tools for ASEAN languages, i.e. Khmer, Lao, Myanmar, and Thai
segments text according word frequency using the Viterbi algorithm.
RMMSeg is an implementation of MMSEG Chinese word segmentation algorithm. It is based on two variants of maximum matching algorithms. Two algorithms are available for using: * simple algorithm that uses only forward maximum matching. * complex algorithm that uses three-word chunk maximum matching and 3 additonal rules to solve ambiguities. For more information about the algorithm, please refer to the following essays: * http://technology.chtsai.org/mmseg/ * http://pluskid.lifegoo.com/?p=261
rmmseg-cpp is a high performance Chinese word segmentation utility for Ruby. It features full "Ferret":http://ferret.davebalmain.com/ integration as well as support for normal Ruby program usage. rmmseg-cpp is a re-written of the original RMMSeg(http://rmmseg.rubyforge.org/) gem in C++. RMMSeg is written in pure Ruby. Though I tried hard to tweak RMMSeg, it just consumes lots of memory and the segmenting process is rather slow. The interface is almost identical to RMMSeg but the performance is much better. This gem is always preferable in production use. However, if you want to understand how the MMSEG segmenting algorithm works, the source code of RMMSeg is a better choice than this.