File size: 3,155 Bytes
da7c8c7
 
 
 
 
 
0c74655
da7c8c7
 
 
 
 
 
 
 
 
f51487a
da7c8c7
 
f51487a
da7c8c7
 
f51487a
da7c8c7
bcdcb27
da7c8c7
 
bcdcb27
 
f51487a
da7c8c7
 
 
 
bcdcb27
 
f51487a
da7c8c7
 
 
 
bcdcb27
 
f51487a
bcdcb27
 
 
 
 
 
f51487a
da7c8c7
f5f19d2
 
 
 
 
 
 
f51487a
 
f5f19d2
 
 
f51487a
f5f19d2
 
 
 
 
 
 
f51487a
f5f19d2
 
 
f51487a
f5f19d2
 
 
 
 
 
 
 
 
 
0c74655
 
 
f51487a
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
---
tags:
- spacy
- token-classification
language:
- mk
license: cc-by-sa-4.0
model-index:
- name: mk_core_news_md
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.7373737374
    - name: NER Recall
      type: recall
      value: 0.7455319149
    - name: NER F Score
      type: f_score
      value: 0.7414303851
  - task:
      name: POS
      type: token-classification
    metrics:
    - name: POS (UPOS) Accuracy
      type: accuracy
      value: 0.9314809819
  - task:
      name: UNLABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Unlabeled Attachment Score (UAS)
      type: f_score
      value: 0.6836434868
  - task:
      name: LABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Labeled Attachment Score (LAS)
      type: f_score
      value: 0.5190989226
  - task:
      name: SENTS
      type: token-classification
    metrics:
    - name: Sentences F-Score
      type: f_score
      value: 0.6578947368
---
### Details: https://spacy.io/models/mk#mk_core_news_md

Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.

| Feature | Description |
| --- | --- |
| **Name** | `mk_core_news_md` |
| **Version** | `3.4.0` |
| **spaCy** | `>=3.4.0,<3.5.0` |
| **Default Pipeline** | `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Components** | `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Vectors** | 274587 keys, 20000 unique vectors (300 dimensions) |
| **Sources** | [Macedonian Corpus](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |

### Label Scheme

<details>

<summary>View label scheme (54 labels for 3 components)</summary>

| Component | Labels |
| --- | --- |
| **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `POS=ADJ`, `POS=NOUN`, `POS=ADP`, `POS=PUNCT`, `POS=CONJ`, `POS=NUM`, `POS=VERB`, `POS=PRON`, `POS=ADV`, `POS=SCONJ`, `POS=PART`, `POS=SYM`, `_`, `POS=SPACE`, `POS=X`, `POS=INTJ` |
| **`parser`** | `ROOT`, `advmod`, `att`, `aux`, `cc`, `dep`, `det`, `dobj`, `iobj`, `neg`, `nsubj`, `pobj`, `poss`, `pozm`, `pozv`, `prep`, `punct`, `relcl` |
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `TOKEN_ACC` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_F` | 100.00 |
| `SENTS_P` | 66.67 |
| `SENTS_R` | 64.94 |
| `SENTS_F` | 65.79 |
| `DEP_UAS` | 68.36 |
| `DEP_LAS` | 51.91 |
| `ENTS_P` | 73.74 |
| `ENTS_R` | 74.55 |
| `ENTS_F` | 74.14 |
| `POS_ACC` | 93.15 |