Installation#
You can install odyCy from Huggingface Hub.
# To install the transformer-based pipeline
pip install https://huggingface.co/chcaa/grc_odycy_joint_trf/resolve/main/grc_odycy_joint_trf-any-py3-none-any.whl
If you want to install a faster, smaller but less accurate pipeline run the following:
# To install the small pipeline
pip install https://huggingface.co/chcaa/grc_odycy_joint_sm/resolve/main/grc_odycy_joint_sm-any-py3-none-any.whl
Basic Usage#
You can load odyCy pipelines in your scripts with spaCy.
import spacy
nlp = spacy.load("grc_odycy_joint_trf")
# Or if you want to load the small model:
# nlp = spacy.load("grc_odycy_joint_sm")
spaCy pipelines are callable so you can process text by calling the pipeline with them.
doc = nlp("τὴν γοῦν Ἀττικὴν ἐκ τοῦ ἐπὶ πλεῖστον διὰ τὸ λεπτόγεων ἀστασίαστον οὖσαν ἄνθρωποι ᾤκουν οἱ αὐτοὶ αἰεί.")
You can access individual tokens’ attributes by iterating through a document.
for token in doc:
print(token.orth_, token.lemma_,token.is_stop, token.pos_, token.morph, token.dep_, token.head)
ORTH LEMMA IS_STOP UPOS MORPH DEP HEAD
==== ===== ======= ==== ===== === ====
τὴν ὁ True DET (Case=Acc, Definite=Def, Gender=Fem, Number=Si... det ᾤκουν
γοῦν γοῦν False ADV () discourse ᾤκουν
Ἀττικὴν Ἀττικὴ False PROPN (Case=Acc, Gender=Fem, Number=Sing) nsubj ᾤκουν
ἐκ ἐκ True ADP () case πλεῖστον
τοῦ ὁ True DET (Case=Gen, Definite=Def, Gender=Neut, Number=S... det πλεῖστον
ἐπὶ ἐπί True ADP () case πλεῖστον
πλεῖστον πλεῖστος False ADJ (Case=Acc, Gender=Neut, Number=Sing) obl ἀστασίαστον
διὰ διά True ADP () case λεπτόγεων
τὸ ὁ True DET (Case=Acc, Definite=Def, Gender=Neut, Number=S... det λεπτόγεων
λεπτόγεων λεπτόγεων False NOUN (Case=Gen, Gender=Neut, Number=Plur) obl ἀστασίαστον
ἀστασίαστον ἀστασίαστος False ADJ (Case=Acc, Gender=Fem, Number=Sing) advcl ᾤκουν
οὖσαν εἰμί True AUX (Case=Acc, Gender=Fem, Number=Sing, Tense=Pres... cop ἀστασίαστον
ἄνθρωποι ἄνθρωπος False NOUN (Case=Nom, Gender=Masc, Number=Plur) nsubj ᾤκουν
ᾤκουν ᾤκουν False VERB (Aspect=Imp, Mood=Ind, Number=Plur, Person=3, ... ROOT ᾤκουν
οἱ ὁ True DET (Case=Nom, Gender=Masc, Number=Plur) det αὐτοὶ
αὐτοὶ αὐτός True ADJ (Case=Nom, Gender=Masc, Number=Plur) nsubj ᾤκουν
αἰεί ἀεί False ADV () advmod ᾤκουν
. . False PUNCT () punct ᾤκουν
Or you can display dependency relations within a document:
from spacy import displacy
displacy.serve(doc)