Update spaCy pipeline

Browse files

Files changed (15) hide show

README.md +23 -20
accuracy.json +151 -148
attribute_ruler/patterns +0 -0
config.cfg +35 -31
meta.json +154 -151
mk_core_news_sm-any-py3-none-any.whl +2 -2
morphologizer/cfg +3 -1
morphologizer/model +0 -0
ner/model +0 -0
parser/model +0 -0
senter/cfg +1 -1
senter/model +0 -0
tokenizer +2 -2
vocab/strings.json +2 -2
vocab/vectors.cfg +3 -0

README.md CHANGED Viewed

@@ -4,7 +4,7 @@ tags:
 - token-classification
 language:
 - mk
-license: CC-BY-SA-4.0
 model-index:
 - name: mk_core_news_sm
   results:
@@ -14,40 +14,40 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7100802855
     - name: NER Recall
       type: recall
-      value: 0.6774468085
     - name: NER F Score
       type: f_score
-      value: 0.6933797909
   - task:
       name: SENTER
       type: token-classification
     metrics:
     - name: SENTER Precision
       type: precision
-      value: 0.768115942
     - name: SENTER Recall
       type: recall
-      value: 0.6883116883
     - name: SENTER F Score
       type: f_score
-      value: 0.7260273973
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Dependencies Accuracy
       type: accuracy
-      value: 0.6457311089
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Dependencies Accuracy
       type: accuracy
-      value: 0.6457311089
 ---
 ### Details: https://spacy.io/models/mk#mk_core_news_sm
@@ -56,8 +56,8 @@ Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
 | Feature | Description |
 | --- | --- |
 | **Name** | `mk_core_news_sm` |
-| **Version** | `3.1.0` |
-| **spaCy** | `>=3.1.0,<3.2.0` |
 | **Default Pipeline** | `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -85,12 +85,15 @@ Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 100.00 |
-| `POS_ACC` | 92.10 |
-| `SENTS_P` | 76.81 |
-| `SENTS_R` | 68.83 |
-| `SENTS_F` | 72.60 |
-| `DEP_UAS` | 64.57 |
-| `DEP_LAS` | 47.50 |
-| `ENTS_P` | 71.01 |
-| `ENTS_R` | 67.74 |
-| `ENTS_F` | 69.34 |

 - token-classification
 language:
 - mk
+license: cc-by-sa-4.0
 model-index:
 - name: mk_core_news_sm
   results:
     metrics:
     - name: NER Precision
       type: precision
+      value: 0.7299912049
     - name: NER Recall
       type: recall
+      value: 0.7063829787
     - name: NER F Score
       type: f_score
+      value: 0.7179930796
   - task:
       name: SENTER
       type: token-classification
     metrics:
     - name: SENTER Precision
       type: precision
+      value: 0.6710526316
     - name: SENTER Recall
       type: recall
+      value: 0.6623376623
     - name: SENTER F Score
       type: f_score
+      value: 0.6666666667
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Dependencies Accuracy
       type: accuracy
+      value: 0.6307541626
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Dependencies Accuracy
       type: accuracy
+      value: 0.6307541626
 ---
 ### Details: https://spacy.io/models/mk#mk_core_news_sm
 | Feature | Description |
 | --- | --- |
 | **Name** | `mk_core_news_sm` |
+| **Version** | `3.2.0` |
+| **spaCy** | `>=3.2.0,<3.3.0` |
 | **Default Pipeline** | `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 100.00 |
+| `TOKEN_P` | 100.00 |
+| `TOKEN_R` | 100.00 |
+| `TOKEN_F` | 100.00 |
+| `SENTS_P` | 67.11 |
+| `SENTS_R` | 66.23 |
+| `SENTS_F` | 66.67 |
+| `ENTS_P` | 73.00 |
+| `ENTS_R` | 70.64 |
+| `ENTS_F` | 71.80 |
+| `POS_ACC` | 91.64 |
+| `DEP_UAS` | 63.08 |
+| `DEP_LAS` | 47.60 |

accuracy.json CHANGED Viewed

@@ -1,22 +1,120 @@
 {
   "token_acc": 1.0,
-  "pos_acc": 0.9209603453,
-  "sents_p": 0.768115942,
-  "sents_r": 0.6883116883,
-  "sents_f": 0.7260273973,
-  "speed": 2753.0743975125,
-  "dep_uas": 0.6457311089,
-  "dep_las": 0.4749754661,
   "dep_las_per_type": {
     "nsubj": {
-      "p": 0.525,
-      "r": 0.5526315789,
-      "f": 0.5384615385
     },
     "root": {
-      "p": 0.6956521739,
-      "r": 0.6857142857,
-      "f": 0.690647482
     },
     "cc": {
       "p": 0.7368421053,
@@ -24,39 +122,39 @@
       "f": 0.5957446809
     },
     "relcl": {
-      "p": 0.380952381,
       "r": 0.3076923077,
-      "f": 0.3404255319
     },
     "pozm": {
-      "p": 0.6,
-      "r": 0.2727272727,
-      "f": 0.375
     },
     "poss": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
     },
     "aux": {
-      "p": 0.5454545455,
-      "r": 0.7272727273,
-      "f": 0.6233766234
     },
     "prep": {
-      "p": 0.703125,
-      "r": 0.75,
-      "f": 0.7258064516
     },
     "iobj": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
     },
     "pozv": {
-      "p": 0.125,
-      "r": 0.0666666667,
-      "f": 0.0869565217
     },
     "quantmod": {
       "p": 0.0,
@@ -64,9 +162,9 @@
       "f": 0.0
     },
     "att": {
-      "p": 0.6222222222,
       "r": 0.5384615385,
-      "f": 0.5773195876
     },
     "det": {
       "p": 0.0,
@@ -79,29 +177,29 @@
       "f": 0.0
     },
     "dep": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
     },
     "dobj": {
-      "p": 0.3521126761,
-      "r": 0.4166666667,
-      "f": 0.3816793893
     },
     "ppdo": {
-      "p": 0.6666666667,
-      "r": 0.4,
-      "f": 0.5
     },
     "neg": {
-      "p": 0.5555555556,
-      "r": 0.4545454545,
-      "f": 0.5
     },
     "pobj": {
-      "p": 0.3823529412,
-      "r": 0.40625,
-      "f": 0.3939393939
     },
     "mwe": {
       "p": 0.0,
@@ -119,9 +217,9 @@
       "f": 0.0
     },
     "advmod": {
-      "p": 0.3333333333,
-      "r": 0.5,
-      "f": 0.4
     },
     "advcl": {
       "p": 0.0,
@@ -158,100 +256,5 @@
       "r": 0.0,
       "f": 0.0
     }
-  },
-  "ents_p": 0.7100802855,
-  "ents_r": 0.6774468085,
-  "ents_f": 0.6933797909,
-  "ents_per_type": {
-    "NORP": {
-      "p": 0.4893617021,
-      "r": 0.3538461538,
-      "f": 0.4107142857
-    },
-    "GPE": {
-      "p": 0.8321995465,
-      "r": 0.8655660377,
-      "f": 0.8485549133
-    },
-    "LOC": {
-      "p": 0.649122807,
-      "r": 0.4252873563,
-      "f": 0.5138888889
-    },
-    "CARDINAL": {
-      "p": 0.6847826087,
-      "r": 0.670212766,
-      "f": 0.6774193548
-    },
-    "QUANTITY": {
-      "p": 0.6285714286,
-      "r": 0.5365853659,
-      "f": 0.5789473684
-    },
-    "FAC": {
-      "p": 0.2,
-      "r": 0.1,
-      "f": 0.1333333333
-    },
-    "ORG": {
-      "p": 0.4558823529,
-      "r": 0.6326530612,
-      "f": 0.5299145299
-    },
-    "PERSON": {
-      "p": 0.68,
-      "r": 0.68,
-      "f": 0.68
-    },
-    "ORDINAL": {
-      "p": 0.4545454545,
-      "r": 0.4545454545,
-      "f": 0.4545454545
-    },
-    "DATE": {
-      "p": 0.7183098592,
-      "r": 0.7183098592,
-      "f": 0.7183098592
-    },
-    "MONEY": {
-      "p": 0.5,
-      "r": 1.0,
-      "f": 0.6666666667
-    },
-    "PERCENT": {
-      "p": 1.0,
-      "r": 1.0,
-      "f": 1.0
-    },
-    "WORK_OF_ART": {
-      "p": 0.5238095238,
-      "r": 0.2682926829,
-      "f": 0.3548387097
-    },
-    "LANGUAGE": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
-    },
-    "TIME": {
-      "p": 1.0,
-      "r": 0.8333333333,
-      "f": 0.9090909091
-    },
-    "EVENT": {
-      "p": 0.4210526316,
-      "r": 0.4705882353,
-      "f": 0.4444444444
-    },
-    "LAW": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
-    },
-    "PRODUCT": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
-    }
   }
 }

 {
   "token_acc": 1.0,
+  "token_p": 1.0,
+  "token_r": 1.0,
+  "token_f": 1.0,
+  "sents_p": 0.6710526316,
+  "sents_r": 0.6623376623,
+  "sents_f": 0.6666666667,
+  "ents_p": 0.7299912049,
+  "ents_r": 0.7063829787,
+  "ents_f": 0.7179930796,
+  "ents_per_type": {
+    "ORG": {
+      "p": 0.5636363636,
+      "r": 0.6326530612,
+      "f": 0.5961538462
+    },
+    "GPE": {
+      "p": 0.8344671202,
+      "r": 0.8679245283,
+      "f": 0.850867052
+    },
+    "LOC": {
+      "p": 0.7142857143,
+      "r": 0.4597701149,
+      "f": 0.5594405594
+    },
+    "QUANTITY": {
+      "p": 0.6444444444,
+      "r": 0.7073170732,
+      "f": 0.6744186047
+    },
+    "CARDINAL": {
+      "p": 0.7142857143,
+      "r": 0.6914893617,
+      "f": 0.7027027027
+    },
+    "DATE": {
+      "p": 0.7162162162,
+      "r": 0.7464788732,
+      "f": 0.7310344828
+    },
+    "NORP": {
+      "p": 0.4905660377,
+      "r": 0.4,
+      "f": 0.4406779661
+    },
+    "PERSON": {
+      "p": 0.7333333333,
+      "r": 0.7333333333,
+      "f": 0.7333333333
+    },
+    "ORDINAL": {
+      "p": 0.5,
+      "r": 0.3636363636,
+      "f": 0.4210526316
+    },
+    "MONEY": {
+      "p": 0.5,
+      "r": 0.5,
+      "f": 0.5
+    },
+    "PERCENT": {
+      "p": 0.8421052632,
+      "r": 1.0,
+      "f": 0.9142857143
+    },
+    "WORK_OF_ART": {
+      "p": 0.5333333333,
+      "r": 0.3902439024,
+      "f": 0.4507042254
+    },
+    "LANGUAGE": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "TIME": {
+      "p": 1.0,
+      "r": 0.6666666667,
+      "f": 0.8
+    },
+    "FAC": {
+      "p": 0.25,
+      "r": 0.1,
+      "f": 0.1428571429
+    },
+    "EVENT": {
+      "p": 0.5238095238,
+      "r": 0.6470588235,
+      "f": 0.5789473684
+    },
+    "LAW": {
+      "p": 0.25,
+      "r": 0.3333333333,
+      "f": 0.2857142857
+    },
+    "PRODUCT": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    }
+  },
+  "speed": 2245.3508517398,
+  "pos_acc": 0.9163744268,
+  "dep_uas": 0.6307541626,
+  "dep_las": 0.4760039177,
   "dep_las_per_type": {
     "nsubj": {
+      "p": 0.475,
+      "r": 0.5,
+      "f": 0.4871794872
     },
     "root": {
+      "p": 0.6184210526,
+      "r": 0.6714285714,
+      "f": 0.6438356164
     },
     "cc": {
       "p": 0.7368421053,
       "f": 0.5957446809
     },
     "relcl": {
+      "p": 0.4,
       "r": 0.3076923077,
+      "f": 0.347826087
     },
     "pozm": {
+      "p": 1.0,
+      "r": 0.3636363636,
+      "f": 0.5333333333
     },
     "poss": {
+      "p": 0.25,
+      "r": 0.2,
+      "f": 0.2222222222
     },
     "aux": {
+      "p": 0.5526315789,
+      "r": 0.6363636364,
+      "f": 0.5915492958
     },
     "prep": {
+      "p": 0.6984126984,
+      "r": 0.7333333333,
+      "f": 0.7154471545
     },
     "iobj": {
+      "p": 0.1,
+      "r": 0.125,
+      "f": 0.1111111111
     },
     "pozv": {
+      "p": 0.2857142857,
+      "r": 0.1333333333,
+      "f": 0.1818181818
     },
     "quantmod": {
       "p": 0.0,
       "f": 0.0
     },
     "att": {
+      "p": 0.7179487179,
       "r": 0.5384615385,
+      "f": 0.6153846154
     },
     "det": {
       "p": 0.0,
       "f": 0.0
     },
     "dep": {
+      "p": 0.0151515152,
+      "r": 0.3333333333,
+      "f": 0.0289855072
     },
     "dobj": {
+      "p": 0.393442623,
+      "r": 0.4,
+      "f": 0.3966942149
     },
     "ppdo": {
+      "p": 0.8,
+      "r": 0.5333333333,
+      "f": 0.64
     },
     "neg": {
+      "p": 0.6,
+      "r": 0.5454545455,
+      "f": 0.5714285714
     },
     "pobj": {
+      "p": 0.375,
+      "r": 0.46875,
+      "f": 0.4166666667
     },
     "mwe": {
       "p": 0.0,
       "f": 0.0
     },
     "advmod": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
     "advcl": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     }
   }
 }

attribute_ruler/patterns CHANGED Viewed

Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ

config.cfg CHANGED Viewed

@@ -1,10 +1,8 @@
 [paths]
-train = "corpus/mk-tag-news/train.spacy"
-dev = "corpus/mk-tag-news/dev.spacy"
 vectors = null
-raw = null
 init_tok2vec = null
-vocab_data = null
 [system]
 gpu_allocator = null
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
 [components.attribute_ruler]
 factory = "attribute_ruler"
 validate = false
 [components.lemmatizer]
@@ -31,9 +30,13 @@ factory = "lemmatizer"
 mode = "rule"
 model = null
 overwrite = false
 [components.morphologizer]
 factory = "morphologizer"
 [components.morphologizer.model]
 @architectures = "spacy.Tagger.v1"
@@ -45,8 +48,8 @@ nO = null
 [components.morphologizer.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.morphologizer.model.tok2vec.encode:width}
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
 include_static_vectors = false
 [components.morphologizer.model.tok2vec.encode]
@@ -60,6 +63,7 @@ maxout_pieces = 3
 factory = "ner"
 incorrect_spans_key = null
 moves = null
 update_with_oracle_cut_size = 100
 [components.ner.model]
@@ -77,8 +81,8 @@ nO = null
 [components.ner.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
 include_static_vectors = false
 [components.ner.model.tok2vec.encode]
@@ -93,6 +97,7 @@ factory = "parser"
 learn_tokens = false
 min_action_freq = 30
 moves = null
 update_with_oracle_cut_size = 100
 [components.parser.model]
@@ -110,8 +115,8 @@ nO = null
 [components.parser.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
 include_static_vectors = false
 [components.parser.model.tok2vec.encode]
@@ -123,6 +128,8 @@ maxout_pieces = 3
 [components.senter]
 factory = "senter"
 [components.senter.model]
 @architectures = "spacy.Tagger.v1"
@@ -134,8 +141,8 @@ nO = null
 [components.senter.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 16
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [1000,500,500,500]
 include_static_vectors = false
 [components.senter.model.tok2vec.encode]
@@ -149,22 +156,19 @@ maxout_pieces = 2
 [corpora.dev]
 @readers = "spacy.Corpus.v1"
-limit = 0
-max_length = 0
-path = ${paths:dev}
 gold_preproc = false
 augmenter = null
 [corpora.train]
 @readers = "spacy.Corpus.v1"
-path = ${paths:train}
-max_length = 5000
 gold_preproc = false
 limit = 0
-[corpora.train.augmenter]
-@augmenters = "spacy.lower_case.v1"
-level = 0.1
 [training]
 train_corpus = "corpora.train"
@@ -195,9 +199,8 @@ compound = 1.001
 t = 0.0
 [training.logger]
-@loggers = "spacy.WandbLogger.v1"
-project_name = "spacy-v3.0.0a2"
-remove_config_values = []
 [training.optimizer]
 @optimizers = "Adam.v1"
@@ -211,25 +214,26 @@ eps = 0.00000001
 learn_rate = 0.001
 [training.score_weights]
-pos_acc = 0.2
 morph_acc = null
 morph_per_feat = null
-dep_uas = 0.1
-dep_las = 0.1
 dep_las_per_type = null
 sents_p = 0.0
 sents_r = 0.0
-sents_f = 0.2
-lemma_acc = 0.2
-ents_f = 0.2
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null
 [pretraining]
 [initialize]
-vocab_data = ${paths.vocab_data}
 vectors = ${paths.vectors}
 init_tok2vec = ${paths.init_tok2vec}
 before_init = null

 [paths]
+train = null
+dev = null
 vectors = null
 init_tok2vec = null
 [system]
 gpu_allocator = null
 [components.attribute_ruler]
 factory = "attribute_ruler"
+scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
 validate = false
 [components.lemmatizer]
 mode = "rule"
 model = null
 overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 [components.morphologizer]
 factory = "morphologizer"
+extend = false
+overwrite = true
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 [components.morphologizer.model]
 @architectures = "spacy.Tagger.v1"
 [components.morphologizer.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.morphologizer.model.tok2vec.encode:width}
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [5000,2500,2500,2500,100]
 include_static_vectors = false
 [components.morphologizer.model.tok2vec.encode]
 factory = "ner"
 incorrect_spans_key = null
 moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
 update_with_oracle_cut_size = 100
 [components.ner.model]
 [components.ner.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [5000,2500,2500,2500,100]
 include_static_vectors = false
 [components.ner.model.tok2vec.encode]
 learn_tokens = false
 min_action_freq = 30
 moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
 update_with_oracle_cut_size = 100
 [components.parser.model]
 [components.parser.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
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 include_static_vectors = false
 [components.parser.model.tok2vec.encode]
 [components.senter]
 factory = "senter"
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 [components.senter.model]
 @architectures = "spacy.Tagger.v1"
 [components.senter.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 16
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [1000,500,500,500,50]
 include_static_vectors = false
 [components.senter.model.tok2vec.encode]
 [corpora.dev]
 @readers = "spacy.Corpus.v1"
+path = ${paths.dev}
 gold_preproc = false
+max_length = 0
+limit = 0
 augmenter = null
 [corpora.train]
 @readers = "spacy.Corpus.v1"
+path = ${paths.train}
 gold_preproc = false
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 limit = 0
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 [training]
 train_corpus = "corpora.train"
 t = 0.0
 [training.logger]
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 [training.optimizer]
 @optimizers = "Adam.v1"
 learn_rate = 0.001
 [training.score_weights]
+pos_acc = 0.16
 morph_acc = null
 morph_per_feat = null
+dep_uas = 0.0
+dep_las = 0.16
 dep_las_per_type = null
 sents_p = 0.0
 sents_r = 0.0
+sents_f = 0.02
+lemma_acc = 0.5
+ents_f = 0.16
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null
+speed = 0.0
 [pretraining]
 [initialize]
+vocab_data = null
 vectors = ${paths.vectors}
 init_tok2vec = ${paths.init_tok2vec}
 before_init = null

meta.json CHANGED Viewed

@@ -1,14 +1,14 @@
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 {
   "lang":"mk",
   "name":"core_news_sm",
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   "description":"Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
   "author":"Explosion",
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   "url":"https://explosion.ai",
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 }

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