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                 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                 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                 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                 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)
Displacy dependency visualization