Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature |
Description |
| Name |
ru_custom_new_model |
| Version |
0.0.1 |
| spaCy |
>=3.7.0,<3.8.0 |
| Default Pipeline |
tok2vec, morphologizer, parser, attribute_ruler, lemmatizer, ner |
| Components |
tok2vec, morphologizer, parser, senter, attribute_ruler, lemmatizer, ner |
| Vectors |
500002 keys, 500002 unique vectors (300 dimensions) |
| Sources |
n/a |
| License |
MIT |
| Author |
Dessan |
Label Scheme
View label scheme (905 labels for 3 components)
| Component |
Labels |
morphologizer |
Case=Nom|Degree=Pos|Number=Plur|POS=ADJ, Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|POS=NOUN, `Aspect=Perf|Mood=Ind|Number=Plur|POS=VERB|Tense=Pa> |
Accuracy
| Type |
Score |
TOKEN_ACC |
99.68 |
TOKEN_P |
97.28 |
TOKEN_R |
98.31 |
TOKEN_F |
97.79 |
POS_ACC |
98.93 |
MORPH_ACC |
97.49 |
MORPH_MICRO_P |
98.97 |
MORPH_MICRO_R |
98.30 |
MORPH_MICRO_F |
98.64 |
SENTS_P |
99.87 |
SENTS_R |
99.85 |
SENTS_F |
99.86 |
DEP_UAS |
96.22 |
DEP_LAS |
95.12 |
TAG_ACC |
98.93 |
LEMMA_ACC |
0.00 |
ENTS_P |
95.24 |
ENTS_R |
95.35 |
ENTS_F |
95.30 |
