Lexicon search

class chaininglib.search.LexiconQuery.LexiconQuery(resource, lemma=None, pos=None)

A query on a lexicon.

json()

Get the JSON response (unparsed) of a lexicon search

Returns:JSON string

>>> # build a lexicon search query
>>> lexicon_obj = create_lexicon(some_lexicon).lemma(some_lemma).search()
>>> # get the JSON response
>>> df = lexicon_obj.json()

kwic()

Get the keyword in context (KWIC) results (as Pandas DataFrame) of a lexicon search

Returns:Pandas DataFrame

>>> # build a lexicon search query
>>> lexicon_obj = create_lexicon(some_lexicon).lemma(some_lemma).search()
>>> # get the results as table of kwic's
>>> df = lexicon_obj.kwic()

search()

Perform a lexicon search

Returns:LexiconQuery object

>>> # build a lexicon search query
>>> lexicon_obj = create_lexicon(some_lexicon).lemma(some_lemma).search()
>>> # get the results as table of kwic's
>>> df = lexicon_obj.kwic()

chaininglib.search.LexiconQuery.create_lexicon(name)

API constructor

Returns:LexiconQuery object

>>> lexicon_obj = create_lexicon(some_lexicon).lemma(some_lemma).search()
>>> df = lexicon_obj.kwic()

chaininglib.search.LexiconQuery.get_available_lexica()

This function returns the list of the available lexica

Returns:list of lexicon name strings

chaininglib.search.lexiconQueries.lexicon_query(word, pos, lexicon, sparql_limit=None, sparql_offset=None)

This function builds a query for getting the paradigm etc. of a given lemma out of a given lexicon. The resulting query string is to be used in LexiconQuery.search()

Parameters:

• word – a lemma/wordform to build the query with
• pos – a part-of-speech to build the query with
• lexicon – a lexicon to build the query for

Returns:

a query string to be used as a parameter of pattern()