Update spaCy pipeline

README.md

@@ -14,72 +14,72 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9546354339
+      value: 0.9631931948
     - name: NER Recall
       type: recall
-      value: 0.9408226305
+      value: 0.9570871261
     - name: NER F Score
       type: f_score
-      value: 0.947678703
+      value: 0.9601304525
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9649296122
+      value: 0.9640958514
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9829896358
+      value: 0.9831838987
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9568359544
+      value: 0.9581374663
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9525518858
+      value: 0.9531809911
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8847980068
+      value: 0.8882308136
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.844676641
+      value: 0.8492401865
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9438152831
+      value: 0.9959496442
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `la_core_web_trf` |
-| **Version** | `3.7.6` |
-| **spaCy** | `>=3.7.4,<3.8.0` |
-| **Default Pipeline** | `transformer`, `normer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lookup_lemmatizer`, `ner` |
-| **Components** | `transformer`, `normer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lookup_lemmatizer`, `ner` |
+| **Version** | `3.7.7` |
+| **spaCy** | `>=3.7.5,<3.8.0` |
+| **Default Pipeline** | `senter`, `transformer`, `normer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lookup_lemmatizer`, `ner` |
+| **Components** | `senter`, `transformer`, `normer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lookup_lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
-| **Sources** | UD_Latin-Perseus<br>UD_Latin-PROIEL<br>UD_Latin-ITTB<br>UD_Latin-LLCT<br>UD_Latin-UDante |
+| **Sources** | UD_Latin-Perseus (via Gamba/Zeman 2023)<br>UD_Latin-PROIEL (via Gamba/Zeman 2023)<br>UD_Latin-ITTB (via Gamba/Zeman 2023)<br>UD_Latin-LLCT (via Gamba/Zeman 2023<br>UD_Latin-UDante (via Gamba/Zeman 2023)<br>CIRCSE/LASLA: LASLA Corpus |
 | **License** | `MIT` |
 | **Author** | [Patrick J. Burns; with Nora Bernhardt [ner], Tim Geelhaar [tagger, morphologizer, parser, ner], Vincent Koch [ner]](https://diyclassics.github.io/) |
 
@@ -102,21 +102,21 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 94.98 |
-| `ENTS_P` | 94.10 |
-| `ENTS_R` | 95.89 |
-| `TRANSFORMER_LOSS` | 3954242.59 |
-| `NER_LOSS` | 8199.98 |
-| `TAG_ACC` | 96.49 |
-| `POS_ACC` | 98.30 |
-| `MORPH_ACC` | 95.68 |
-| `LEMMA_ACC` | 95.26 |
-| `DEP_UAS` | 88.48 |
-| `DEP_LAS` | 84.47 |
-| `SENTS_P` | 94.66 |
-| `SENTS_R` | 94.10 |
-| `SENTS_F` | 94.38 |
-| `TAGGER_LOSS` | 41020.70 |
-| `MORPHOLOGIZER_LOSS` | 348603.00 |
-| `TRAINABLE_LEMMATIZER_LOSS` | 349936.53 |
-| `PARSER_LOSS` | 2759001.09 |
+| `ENTS_F` | 95.43 |
+| `ENTS_P` | 94.87 |
+| `ENTS_R` | 95.99 |
+| `TRANSFORMER_LOSS` | 3054585.96 |
+| `NER_LOSS` | 9051.00 |
+| `TAG_ACC` | 96.33 |
+| `POS_ACC` | 98.31 |
+| `MORPH_ACC` | 95.75 |
+| `LEMMA_ACC` | 95.27 |
+| `DEP_UAS` | 88.61 |
+| `DEP_LAS` | 84.72 |
+| `SENTS_P` | 94.93 |
+| `SENTS_R` | 94.41 |
+| `SENTS_F` | 94.67 |
+| `TAGGER_LOSS` | 28864.85 |
+| `MORPHOLOGIZER_LOSS` | 246784.11 |
+| `TRAINABLE_LEMMATIZER_LOSS` | 242230.83 |
+| `PARSER_LOSS` | 2414158.66 |

config.cfg

@@ -10,7 +10,7 @@ seed = 0
 
 [nlp]
 lang = "la"
-pipeline = ["transformer","normer","tagger","morphologizer","trainable_lemmatizer","parser","lookup_lemmatizer","ner"]
+pipeline = ["senter","transformer","normer","tagger","morphologizer","trainable_lemmatizer","parser","lookup_lemmatizer","ner"]
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
 disabled = []
 before_creation = null
@@ -129,6 +129,26 @@ use_fast = true
 
 [components.parser.model.tok2vec.transformer_config]
 
+[components.senter]
+factory = "senter"
+overwrite = false
+scorer = {"@scorers":"spacy.senter_scorer.v1"}
+
+[components.senter.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.senter.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 12
+depth = 1
+embed_size = 2000
+window_size = 1
+maxout_pieces = 2
+subword_features = true
+
 [components.tagger]
 factory = "tagger"
 label_smoothing = 0.0
@@ -251,6 +271,9 @@ eps = 0.00000001
 learn_rate = 0.001
 
 [training.score_weights]
+sents_f = 0.0
+sents_p = null
+sents_r = null
 tag_acc = 0.2
 pos_acc = 0.1
 morph_acc = 0.1
@@ -259,9 +282,6 @@ lemma_acc = 0.2
 dep_uas = 0.1
 dep_las = 0.1
 dep_las_per_type = null
-sents_p = null
-sents_r = null
-sents_f = 0.0
 ents_f = 0.2
 ents_p = 0.0
 ents_r = 0.0

functions.py

@@ -200,11 +200,8 @@ import string
 blank_nlp = spacy.blank("la")
 lookups = Lookups()
 
-try:
-    lookups_data = load_lookups(lang=blank_nlp.vocab.lang, tables=["lemma_lookup"])
-except:
-    lookups_data = lookups.from_disk("scripts/lemmatizer_lookups")
 
+lookups_data = load_lookups(lang=blank_nlp.vocab.lang, tables=["lemma_lookup"])
 LOOKUPS = lookups_data.get_table("lemma_lookup")
 
 predicted_lemma_getter = lambda token: token.lemma_

la_core_web_trf-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:277475d238ab6b4a9b70acee5cf3a8dfaefae220ba9ab6c8c674b757ea1b897c
-size 2526069269
+oid sha256:391c1897518a0049a9648a7ae67f931c778bec052dd7a5d98cb012cab57a9929
+size 2509328343

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"la",
   "name":"core_web_trf",
-  "version":"3.7.6",
+  "version":"3.7.7",
   "description":"",
   "author":"Patrick J. Burns; with Nora Bernhardt [ner], Tim Geelhaar [tagger, morphologizer, parser, ner], Vincent Koch [ner]",
   "email":"[email protected]",
   "url":"https://diyclassics.github.io/",
   "license":"MIT",
-  "spacy_version":">=3.7.4,<3.8.0",
-  "spacy_git_version":"bff8725f4",
+  "spacy_version":">=3.7.5,<3.8.0",
+  "spacy_git_version":"a6d0fc360",
   "vectors":{
     "width":0,
     "vectors":0,
@@ -811,6 +811,7 @@
     ]
   },
   "pipeline":[
+    "senter",
     "transformer",
     "normer",
     "tagger",
@@ -821,6 +822,7 @@
     "ner"
   ],
   "components":[
+    "senter",
     "transformer",
     "normer",
     "tagger",
@@ -834,301 +836,304 @@
 
   ],
   "performance":{
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