Classes

Corpus([doctype, author, freetext, ...])	Class representing as DHLAB Corpus
Chunks([urn, chunks])	Create chunks from a text.
Collocations([corpus, words, before, after, ...])	Create collocations object
Concordance([corpus, query, window, limit])	Wrapper for concordance function
Counts([corpus, words])	Provide counts for a corpus - shouldn't be too large
GeoData([urn, model])	Fetch place data from a text (book, newspaper or ...) identified by URN with an appropriate and available spacy model.
GeoNames(names[, feature_class, feature_code])	Fetch data from a list of names
NER([urn, model, start_page, to_page])	Provide NER
POS([urn, model, start_page, to_page])	Provide POS and a parse
Models()	Show the spaCy language models available
WildcardWordSearch(word[, factor, ...])	Find a class of words matching a wildcard string
Ngram([words, from_year, to_year, doctype, ...])	Top level class for ngrams
NgramBook([words, title, publisher, city, ...])	Extract ngrams using metadata with functions to be inherited.
NgramNews([words, title, city, from_year, ...])	Ngram builder class.
WordParadigm(words[, lang])	Fetch inflection paradigms for a list of words, or just one word
WordLemma(words[, lang])	Fetch possbile lemmas for a given word form
WordForm(words[, lang])	Fetch possible forms of a word or list of words