casestudy-diamant.bkp

 
 
 * [Retrieve synonyms from DiaMaNT, look up in Gysseling](#synonyms-diamant-gysseling)

  * **diamant**: DiaMaNT, diachronous semantic lexicon of the Dutch language. Contains synonym relations extracted from all Dutch historical dictionaries.

  ### Retrieve synonyms from DiaMaNT, look up in Gysseling <a class="anchor" id="synonyms-diamant-gysseling"></a>
* Below cell searches for term "boek" in DiaMaNT, and looks up all variants in Gysseling

from chaininglib.search.CorpusQuery import *
from chaininglib.search.LexiconQuery import *
from IPython.core.display import display, HTML
from chaininglib.search.corpusQueries import corpus_query
from chaininglib.process.lexicon import get_diamant_synonyms
from chaininglib.ui.dfui import display_df

search_word = "boek"
lexicon_name = "diamant"
corpus= "gysseling"

# First, lookup synonyms in DiaMaNT
lq = create_lexicon(lexicon_name).lemma(search_word).search()
df_lexicon = lq.kwic()

syns = get_diamant_synonyms(df_lexicon)
syns.add(search_word) # Also add search word itself
display(HTML('Synoniemen voor <b>' + search_word + '</b>: ' + ", ".join(syns)))

# Search for all synonyms in corpus
## Create queries: search by lemma
syns_queries = [corpus_query(lemma=syn) for syn in syns]

## Search for all synonyms in corpus
df = pd.DataFrame()
for one_pattern in syns_queries:
    cq = create_corpus(corpus).pattern(one_pattern).search()
    df = df.append(cq.kwic())
display_df(df)