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AutoTextCleaner	A quick, convenient transformer that streamlines basic everyday data cleaning needs.
Lexicon	The pybear lexicon of words in the English language.
NGramMerger	Join specified adjacent words into an N-gram unit, to be handled as a single "word".
StopRemover	Remove stop words from text data.
TextJoiner	Join a (possibly ragged) 2D array-like of strings across rows with the sep character string(s).
TextJustifier	Justify text as closely as possible to the number of characters per line given by the user.
TextLookup	Handle words in a 2D array-like body of text that are not in the pybear Lexicon.
TextLookupRealTime	Handle words in a 2D array-like body of text that are not in the pybear Lexicon.
TextNormalizer	Normalize all text in a dataset to upper-case, lower-case, or leave unchanged.
TextPadder	Map ragged text data to a shaped array, using a fill value to fill out any ragged area.
TextRemover	Remove full strings (not substrings) from text data.
TextReplacer	Search 1D vectors or (possibly ragged) 2D arrays of text data for character substrings and make one-to-one replacements.
TextSplitter	Split a dataset of strings on the given separator(s).
TextStatistics	Generate summary information about the strings and characters in text data.
TextStripper	Strip leading and trailing spaces from 1D or 2D text data.