Update spaCy pipeline

LICENSES_SOURCES

@@ -1,554 +1,3 @@
-# Lemmatization Lists
-
-* Author: Michal Měchura
-* URL: https://github.com/michmech/lemmatization-lists/
-* License: ODbL
-
-```
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 # UD Romanian RRT v2.8
 
 * Author: Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin

README.md

@@ -14,61 +14,76 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7485865058
+      value: 0.7497185741
     - name: NER Recall
       type: recall
-      value: 0.7629658087
+      value: 0.767575874
     - name: NER F Score
       type: f_score
-      value: 0.7557077626
+      value: 0.7585421412
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9627631502
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9619726156
+      value: 0.938272277
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9626168224
-    - name: SENTER Recall
-      type: recall
-      value: 0.9587765957
-    - name: SENTER F Score
-      type: f_score
-      value: 0.9606928714
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9472820032
   - task:
-      name: UNLABELED_DEPENDENCIES
+      name: LEMMA
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
+    - name: Lemma Accuracy
       type: accuracy
-      value: 0.8893350063
+      value: 0.9547600199
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.8861775868
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.8893350063
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.8312266725
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9620253165
 ---
 ### Details: https://spacy.io/models/ro#ro_core_news_md
 
-Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
+Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `ro_core_news_md` |
-| **Version** | `3.2.0` |
-| **spaCy** | `>=3.2.0,<3.3.0` |
-| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
-| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
+| **Version** | `3.3.0` |
+| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
+| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
+| **Components** | `tok2vec`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
-| **Sources** | [Lemmatization Lists](https://github.com/michmech/lemmatization-lists/) (Michal Měchura)<br />[UD Romanian RRT v2.8](https://github.com/UniversalDependencies/UD_Romanian-RRT) (Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin)<br />[RONEC - the Romanian Named Entity Corpus (ca9ce460)](https://github.com/dumitrescustefan/ronec) (Dumitrescu, Stefan Daniel; Avram, Andrei-Marius; Morogan, Luciana; Toma; Stefan)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
+| **Sources** | [UD Romanian RRT v2.8](https://github.com/UniversalDependencies/UD_Romanian-RRT) (Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin)<br />[RONEC - the Romanian Named Entity Corpus (ca9ce460)](https://github.com/dumitrescustefan/ronec) (Dumitrescu, Stefan Daniel; Avram, Andrei-Marius; Morogan, Luciana; Toma; Stefan)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
 | **License** | `CC BY-SA 4.0` |
 | **Author** | [Explosion](https://explosion.ai) |
 
@@ -76,13 +91,12 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
 
 <details>
 
-<summary>View label scheme (541 labels for 4 components)</summary>
+<summary>View label scheme (539 labels for 3 components)</summary>
 
 | Component | Labels |
 | --- | --- |
 | **`tagger`** | `ARROW`, `Af`, `Afcfp-n`, `Afcfson`, `Afcfsrn`, `Afcmpoy`, `Afcms-n`, `Afp`, `Afp-p-n`, `Afp-poy`, `Afp-srn`, `Afpf--n`, `Afpfp-n`, `Afpfp-ny`, `Afpfpoy`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpm--n`, `Afpmp-n`, `Afpmpoy`, `Afpmpry`, `Afpms-n`, `Afpmsoy`, `Afpmsry`, `Afsfp-n`, `Afsfsrn`, `BULLET`, `COLON`, `COMMA`, `Ccssp`, `Ccsspy`, `Crssp`, `Csssp`, `Cssspy`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fpr--y`, `Dd3fso`, `Dd3fso---e`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3fsr--yo`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso---e`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1ms`, `Dh3fp`, `Dh3fso`, `Dh3fsr`, `Dh3mp`, `Dh3ms`, `Di3`, `Di3-----y`, `Di3--r---e`, `Di3-po`, `Di3-po---e`, `Di3-sr`, `Di3-sr---e`, `Di3-sr--y`, `Di3fp`, `Di3fpr`, `Di3fpr---e`, `Di3fso`, `Di3fso---e`, `Di3fsr`, `Di3fsr---e`, `Di3mp`, `Di3mpr`, `Di3mpr---e`, `Di3ms`, `Di3ms----e`, `Di3mso---e`, `Di3msr`, `Di3msr---e`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1fsrs-y`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds1msrs-y`, `Ds2---s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3---p`, `Ds3---s`, `Ds3---sy`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r---e`, `Dw3-po---e`, `Dw3fpr`, `Dw3fso---e`, `Dw3fsr`, `Dw3mpr`, `Dw3mso---e`, `Dw3msr`, `Dz3fsr---e`, `Dz3mso---e`, `Dz3msr---e`, `EQUAL`, `EXCL`, `EXCLHELLIP`, `GE`, `GT`, `HELLIP`, `I`, `LCURL`, `LPAR`, `LSQR`, `LT`, `M`, `Mc-p-d`, `Mc-p-l`, `Mc-s-b`, `Mc-s-d`, `Mc-s-l`, `Mcfp-l`, `Mcfp-ln`, `Mcfprln`, `Mcfprly`, `Mcfsoln`, `Mcfsrl`, `Mcfsrln`, `Mcfsrly`, `Mcmp-l`, `Mcms-ln`, `Mcmsrl`, `Mcmsrln`, `Mcmsrly`, `Mffprln`, `Mffsrln`, `Mlfpo`, `Mlfpr`, `Mlmpr`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofp-ln`, `Mofpoly`, `Mofprly`, `Mofs-l`, `Mofsoln`, `Mofsoly`, `Mofsrln`, `Mofsrly`, `Mompoly`, `Momprly`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Nc`, `Nc---n`, `Ncf--n`, `Ncfp-n`, `Ncfpoy`, `Ncfpry`, `Ncfs-n`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsryy`, `Ncfsvy`, `Ncm--n`, `Ncmp-n`, `Ncmpoy`, `Ncmpry`, `Ncms-n`, `Ncms-ny`, `Ncms-y`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsryy`, `Ncmsvn`, `Ncmsvy`, `Np`, `Npfson`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npmpoy`, `Npmpry`, `Npms-n`, `Npmsoy`, `Npmsry`, `PERCENT`, `PERIOD`, `PLUS`, `PLUSMINUS`, `Pd3-po`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mpr--y`, `Pd3mso`, `Pd3msr`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpr`, `Pi3mso`, `Pi3msr`, `Pi3msr--y`, `Pp1-pa--------w`, `Pp1-pa--y-----w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pd--y-----w`, `Pp1-pr--------s`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sa--y-----w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sd--y-----w`, `Pp1-sn--------s`, `Pp2-----------s`, `Pp2-pa--------w`, `Pp2-pa--y-----w`, `Pp2-pd--------w`, `Pp2-pd--y-----w`, `Pp2-pr--------s`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sa--y-----w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-sd--y-----w`, `Pp2-sn--------s`, `Pp2-so--------s`, `Pp2-sr--------s`, `Pp3-p---------s`, `Pp3-pd--------w`, `Pp3-pd--y-----w`, `Pp3-po--------s`, `Pp3-sd--------w`, `Pp3-sd--y-----w`, `Pp3-so--------s`, `Pp3fpa--------w`, `Pp3fpa--y-----w`, `Pp3fpr--------s`, `Pp3fs---------s`, `Pp3fsa--------w`, `Pp3fsa--y-----w`, `Pp3fso--------s`, `Pp3fsr--------s`, `Pp3fsr--y-----s`, `Pp3mpa--------w`, `Pp3mpa--y-----w`, `Pp3mpr--------s`, `Pp3ms---------s`, `Pp3msa--------w`, `Pp3msa--y-----w`, `Pp3mso--------s`, `Pp3msr--------s`, `Pp3msr--y-----s`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps3---p`, `Ps3---s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-so`, `Pw3fpr`, `Pw3fso`, `Pw3mpr`, `Pw3mso`, `Px3--a--------s`, `Px3--a--------w`, `Px3--a--y-----w`, `Px3--d--------w`, `Px3--d--y-----w`, `Pz3-sr`, `Pz3fsr`, `QUEST`, `QUOT`, `Qf`, `Qn`, `Qs`, `Qs-y`, `Qz`, `Qz-y`, `RCURL`, `RPAR`, `RSQR`, `Rc`, `Rgp`, `Rgpy`, `Rgs`, `Rp`, `Rw`, `Rw-y`, `Rz`, `SCOLON`, `SLASH`, `STAR`, `Sp`, `Spsa`, `Spsay`, `Spsd`, `Spsg`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffpoy`, `Tffpry`, `Tffs-y`, `Tfmpoy`, `Tfms-y`, `Tfmsoy`, `Tfmsry`, `Ti-po`, `Tifp-y`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfp`, `Tsfs`, `Tsmp`, `Tsms`, `UNDERSC`, `Va--1`, `Va--1-----y`, `Va--1p`, `Va--1s`, `Va--1s----y`, `Va--2p`, `Va--2p----y`, `Va--2s`, `Va--2s----y`, `Va--3`, `Va--3-----y`, `Va--3p`, `Va--3p----y`, `Va--3s`, `Va--3s----y`, `Vag`, `Vag-------y`, `Vaii1`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3p`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3p`, `Vaip3p----y`, `Vaip3s`, `Vaip3s----y`, `Vais3p`, `Vais3s`, `Vam-2s`, `Vanp`, `Vap--sm`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vmg`, `Vmg-------y`, `Vmii1`, `Vmii1-----y`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3p----y`, `Vmii3s`, `Vmii3s----y`, `Vmil1`, `Vmil1p`, `Vmil2s`, `Vmil3p`, `Vmil3p----y`, `Vmil3s`, `Vmil3s----y`, `Vmip1p`, `Vmip1p----y`, `Vmip1s`, `Vmip1s----y`, `Vmip2p`, `Vmip2s`, `Vmip2s----y`, `Vmip3`, `Vmip3-----y`, `Vmip3p`, `Vmip3s`, `Vmip3s----y`, `Vmis1p`, `Vmis1s`, `Vmis3p`, `Vmis3p----y`, `Vmis3s`, `Vmis3s----y`, `Vmm-2p`, `Vmm-2s`, `Vmnp`, `Vmnp------y`, `Vmp--pf`, `Vmp--pm`, `Vmp--sf`, `Vmp--sm`, `Vmp--sm---y`, `Vmsp1p`, `Vmsp2p`, `Vmsp2s`, `Vmsp3`, `Vmsp3-----y`, `X`, `Y`, `Ya`, `Yn`, `Ynfsoy`, `Ynfsry`, `Ynmsoy`, `Ynmsry`, `Yp`, `Yp,Yn`, `Yp-sr`, `Yr` |
 | **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `goeswith`, `iobj`, `mark`, `nmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `obl:pmod`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
-| **`senter`** | `I`, `S` |
 | **`ner`** | `DATETIME`, `EVENT`, `FACILITY`, `GPE`, `LANGUAGE`, `LOC`, `MONEY`, `NAT_REL_POL`, `NUMERIC_VALUE`, `ORDINAL`, `ORGANIZATION`, `PERIOD`, `PERSON`, `PRODUCT`, `QUANTITY`, `WORK_OF_ART` |
 
 </details>
@@ -95,18 +109,18 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
 | `TOKEN_P` | 99.67 |
 | `TOKEN_R` | 99.57 |
 | `TOKEN_F` | 99.59 |
-| `TAG_ACC` | 96.20 |
-| `SENTS_P` | 96.26 |
-| `SENTS_R` | 95.88 |
-| `SENTS_F` | 96.07 |
-| `DEP_UAS` | 88.93 |
-| `DEP_LAS` | 83.88 |
-| `POS_ACC` | 93.82 |
-| `MORPH_ACC` | 94.69 |
+| `TAG_ACC` | 96.28 |
+| `SENTS_P` | 96.40 |
+| `SENTS_R` | 96.01 |
+| `SENTS_F` | 96.20 |
+| `DEP_UAS` | 88.62 |
+| `DEP_LAS` | 83.12 |
+| `LEMMA_ACC` | 95.48 |
+| `POS_ACC` | 93.83 |
+| `MORPH_ACC` | 94.73 |
 | `MORPH_MICRO_P` | 98.71 |
-| `MORPH_MICRO_R` | 95.58 |
-| `MORPH_MICRO_F` | 96.84 |
-| `LEMMA_ACC` | 81.83 |
-| `ENTS_P` | 74.86 |
-| `ENTS_R` | 76.30 |
-| `ENTS_F` | 75.57 |
+| `MORPH_MICRO_R` | 95.64 |
+| `MORPH_MICRO_F` | 96.91 |
+| `ENTS_P` | 74.97 |
+| `ENTS_R` | 76.76 |
+| `ENTS_F` | 75.85 |

accuracy.json

@@ -3,217 +3,212 @@
   "token_p": 0.9967350492,
   "token_r": 0.9957244934,
   "token_f": 0.9959492157,
-  "tag_acc": 0.9619726156,
-  "sents_p": 0.9626168224,
-  "sents_r": 0.9587765957,
-  "sents_f": 0.9606928714,
-  "dep_uas": 0.8893350063,
-  "dep_las": 0.8388068128,
+  "tag_acc": 0.9627631502,
+  "sents_p": 0.9639519359,
+  "sents_r": 0.960106383,
+  "sents_f": 0.9620253165,
+  "dep_uas": 0.8861775868,
+  "dep_las": 0.8312266725,
   "dep_las_per_type": {
-    "case": {
-      "p": 0.9337493999,
-      "r": 0.9492435334,
-      "f": 0.9414327202
+    "root": {
+      "p": 0.8707360862,
+      "r": 0.9133709981,
+      "f": 0.8915441176
     },
-    "det": {
-      "p": 0.9484425349,
-      "r": 0.966083151,
-      "f": 0.9571815718
+    "mark": {
+      "p": 0.9283018868,
+      "r": 0.9283018868,
+      "f": 0.9283018868
+    },
+    "case": {
+      "p": 0.9663643235,
+      "r": 0.9587551556,
+      "f": 0.9625447017
     },
     "nmod:tmod": {
-      "p": 0.6666666667,
-      "r": 0.0930232558,
-      "f": 0.1632653061
+      "p": 0.62,
+      "r": 0.2605042017,
+      "f": 0.3668639053
     },
     "amod": {
-      "p": 0.8737690242,
-      "r": 0.8864668483,
-      "f": 0.8800721371
+      "p": 0.8989813243,
+      "r": 0.902044293,
+      "f": 0.9005102041
     },
-    "cc": {
-      "p": 0.877016129,
-      "r": 0.910041841,
-      "f": 0.8932238193
-    },
-    "conj": {
-      "p": 0.5879699248,
-      "r": 0.5915279879,
-      "f": 0.5897435897
+    "nsubj": {
+      "p": 0.8516129032,
+      "r": 0.8341232227,
+      "f": 0.8427773344
     },
     "nmod": {
-      "p": 0.7885679164,
-      "r": 0.8099747475,
-      "f": 0.7991279975
-    },
-    "mark": {
-      "p": 0.9161147903,
-      "r": 0.9222222222,
-      "f": 0.919158361
-    },
-    "fixed": {
-      "p": 0.8559322034,
-      "r": 0.7163120567,
-      "f": 0.7799227799
+      "p": 0.826055313,
+      "r": 0.8104248483,
+      "f": 0.8181654352
     },
-    "nsubj": {
-      "p": 0.8134920635,
-      "r": 0.7824427481,
-      "f": 0.7976653696
+    "aux": {
+      "p": 0.9703703704,
+      "r": 0.957952468,
+      "f": 0.9641214351
     },
-    "advcl:tcl": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+    "advcl": {
+      "p": 0.5436241611,
+      "r": 0.6090225564,
+      "f": 0.5744680851
     },
     "obj": {
-      "p": 0.7793880837,
-      "r": 0.8273504274,
-      "f": 0.8026533997
+      "p": 0.8295454545,
+      "r": 0.8429561201,
+      "f": 0.8361970218
     },
-    "nummod": {
-      "p": 0.8892405063,
-      "r": 0.8619631902,
-      "f": 0.8753894081
+    "det": {
+      "p": 0.9611428571,
+      "r": 0.9524348811,
+      "f": 0.9567690557
     },
-    "flat": {
-      "p": 0.7441860465,
-      "r": 0.6857142857,
-      "f": 0.7137546468
+    "cc": {
+      "p": 0.9329140461,
+      "r": 0.9290187891,
+      "f": 0.9309623431
     },
-    "obl": {
-      "p": 0.6402378593,
-      "r": 0.731596829,
-      "f": 0.6828752643
+    "conj": {
+      "p": 0.5798742138,
+      "r": 0.5341830823,
+      "f": 0.5560916767
     },
-    "obl:pmod": {
-      "p": 0.4375,
-      "r": 0.1615384615,
-      "f": 0.2359550562
+    "nummod": {
+      "p": 0.884375,
+      "r": 0.8788819876,
+      "f": 0.8816199377
     },
     "acl": {
-      "p": 0.7222222222,
-      "r": 0.7303370787,
-      "f": 0.7262569832
+      "p": 0.7793696275,
+      "r": 0.7028423773,
+      "f": 0.7391304348
     },
     "advmod": {
-      "p": 0.8060686016,
-      "r": 0.7823303457,
-      "f": 0.7940220923
-    },
-    "expl:pv": {
-      "p": 0.7777777778,
-      "r": 0.8191489362,
-      "f": 0.7979274611
+      "p": 0.8041237113,
+      "r": 0.8232189974,
+      "f": 0.813559322
     },
-    "root": {
-      "p": 0.9103078983,
-      "r": 0.9042553191,
-      "f": 0.9072715143
+    "obl": {
+      "p": 0.6925566343,
+      "r": 0.8147208122,
+      "f": 0.7486880466
     },
-    "advcl": {
-      "p": 0.5579710145,
-      "r": 0.6260162602,
-      "f": 0.5900383142
+    "expl:pass": {
+      "p": 0.8367346939,
+      "r": 0.7592592593,
+      "f": 0.7961165049
     },
-    "iobj": {
-      "p": 0.7966101695,
-      "r": 0.6394557823,
-      "f": 0.7094339623
+    "nsubj:pass": {
+      "p": 0.8116883117,
+      "r": 0.762195122,
+      "f": 0.786163522
     },
-    "ccomp": {
-      "p": 0.6995073892,
-      "r": 0.802259887,
-      "f": 0.7473684211
+    "fixed": {
+      "p": 0.8574380165,
+      "r": 0.8773784355,
+      "f": 0.8672936259
     },
-    "goeswith": {
-      "p": 0.25,
-      "r": 0.1428571429,
-      "f": 0.1818181818
+    "appos": {
+      "p": 0.4957264957,
+      "r": 0.4427480916,
+      "f": 0.4677419355
     },
     "parataxis": {
-      "p": 0.8494623656,
-      "r": 0.6030534351,
-      "f": 0.7053571429
-    },
-    "expl:poss": {
-      "p": 0.6086956522,
-      "r": 0.6511627907,
-      "f": 0.6292134831
+      "p": 0.2631578947,
+      "r": 0.2857142857,
+      "f": 0.2739726027
     },
-    "cop": {
-      "p": 0.75,
-      "r": 0.773006135,
-      "f": 0.7613293051
+    "aux:pass": {
+      "p": 0.9391891892,
+      "r": 0.9266666667,
+      "f": 0.932885906
     },
-    "cc:preconj": {
+    "nmod:agent": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "aux": {
-      "p": 0.9661971831,
-      "r": 0.9122340426,
-      "f": 0.9384404925
+    "ccomp": {
+      "p": 0.8852459016,
+      "r": 0.8372093023,
+      "f": 0.8605577689
     },
-    "expl": {
-      "p": 0.5714285714,
-      "r": 0.4761904762,
-      "f": 0.5194805195
+    "nmod:pmod": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "appos": {
-      "p": 0.4691358025,
-      "r": 0.3762376238,
-      "f": 0.4175824176
+    "iobj": {
+      "p": 0.734939759,
+      "r": 0.7530864198,
+      "f": 0.743902439
     },
-    "xcomp": {
-      "p": 0.5538461538,
-      "r": 0.4337349398,
-      "f": 0.4864864865
+    "flat": {
+      "p": 0.8031088083,
+      "r": 0.8157894737,
+      "f": 0.8093994778
     },
-    "nsubj:pass": {
-      "p": 0.5878787879,
-      "r": 0.6381578947,
-      "f": 0.6119873817
+    "cop": {
+      "p": 0.8225806452,
+      "r": 0.8225806452,
+      "f": 0.8225806452
     },
     "csubj": {
-      "p": 0.8448275862,
-      "r": 0.7777777778,
-      "f": 0.8099173554
+      "p": 0.85,
+      "r": 0.8095238095,
+      "f": 0.8292682927
     },
     "obl:agent": {
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-    "dep": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "advmod:tmod": {
+    "obl:pmod": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
+    "expl": {
+      "p": 0.6551724138,
+      "r": 0.7037037037,
+      "f": 0.6785714286
+    },
+    "xcomp": {
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+      "r": 0.4444444444,
+      "f": 0.4285714286
+    },
+    "expl:pv": {
+      "p": 0.7631578947,
+      "r": 0.8405797101,
+      "f": 0.8
+    },
     "compound": {
-      "p": 0.5,
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+      "p": 0.4,
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+    "dep": {
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     "ccomp:pmod": {
-      "p": 0.5,
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+      "p": 0.2857142857,
+      "r": 0.6666666667,
+      "f": 0.4
     },
-    "expl:pass": {
-      "p": 0.6808510638,
-      "r": 0.7032967033,
-      "f": 0.6918918919
+    "expl:poss": {
+      "p": 1.0,
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+      "f": 0.9122807018
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+    "goeswith": {
+      "p": 0.0,
+      "r": 0.0,
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     },
     "orphan": {
       "p": 0.0,
@@ -222,232 +217,232 @@
     },
     "expl:impers": {
       "p": 0.5,
-      "r": 0.1,
-      "f": 0.1666666667
+      "r": 0.3333333333,
+      "f": 0.4
     },
-    "csubj:pass": {
-      "p": 0.6666666667,
-      "r": 0.6666666667,
-      "f": 0.6666666667
+    "cc:preconj": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     },
-    "vocative": {
+    "list": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "discourse": {
+    "csubj:pass": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     }
   },
-  "pos_acc": 0.9381923087,
-  "morph_acc": 0.9469023954,
-  "morph_micro_p": 0.9870716332,
-  "morph_micro_r": 0.9558096483,
-  "morph_micro_f": 0.9683797083,
+  "lemma_acc": 0.9547600199,
+  "pos_acc": 0.938272277,
+  "morph_acc": 0.9472820032,
+  "morph_micro_p": 0.9871439375,
+  "morph_micro_r": 0.9564194708,
+  "morph_micro_f": 0.9691151644,
   "morph_per_feat": {
-    "AdpType": {
-      "p": 0.9954051796,
-      "r": 0.9941593659,
-      "f": 0.9947818827
-    },
     "Case": {
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-      "f": 0.9846987136
-    },
-    "Variant": {
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-      "r": 0.9130434783,
-      "f": 0.9438202247
+      "p": 0.9916975348,
+      "r": 0.9874093857,
+      "f": 0.9895488147
     },
     "Gender": {
-      "p": 0.9821478774,
-      "r": 0.9776129845,
-      "f": 0.9798751841
+      "p": 0.9891837505,
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+      "f": 0.9862068966
     },
     "Number": {
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-      "f": 0.9621133125
+      "p": 0.9870188509,
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+      "f": 0.9529206626
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-      "f": 0.9887697805
-    },
-    "Definite": {
-      "p": 0.9788447388,
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-      "f": 0.9761511649
+    "Person": {
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+      "f": 0.9849779087
     },
-    "Degree": {
-      "p": 0.9568913175,
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-      "f": 0.9456945695
+    "PronType": {
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+      "r": 0.992398065,
+      "f": 0.9944598338
     },
     "Polarity": {
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+      "p": 0.9869918699,
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+      "f": 0.9910204082
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-      "p": 0.9740072202,
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-      "f": 0.9708528248
+    "AdpType": {
+      "p": 0.9983039349,
+      "r": 0.9959390863,
+      "f": 0.9971201084
     },
-    "Person": {
-      "p": 0.9764359352,
-      "r": 0.9696526508,
-      "f": 0.9730324711
+    "Definite": {
+      "p": 0.9855930847,
+      "r": 0.9773015873,
+      "f": 0.9814298239
     },
-    "Tense": {
-      "p": 0.9707207207,
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-      "f": 0.9634873323
+    "Degree": {
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+      "r": 0.9415715245,
+      "f": 0.9472972973
     },
     "VerbForm": {
-      "p": 0.9714013346,
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+      "p": 0.9708994709,
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+    },
+    "Abbr": {
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     "NumForm": {
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+      "p": 0.9958677686,
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     "NumType": {
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+    "Reflex": {
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     },
     "Strength": {
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     },
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+    "Mood": {
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     },
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+    "Tense": {
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+      "f": 0.9710144928
+    },
+    "Variant": {
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+      "f": 0.9702970297
     },
     "Position": {
-      "p": 0.986013986,
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-      "f": 0.9791666667
+      "p": 1.0,
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+      "f": 0.9955156951
     },
     "Number[psor]": {
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+      "p": 1.0,
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     "Foreign": {
       "p": 0.0,
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   },
-  "lemma_acc": 0.8183070924,
-  "ents_p": 0.7485865058,
-  "ents_r": 0.7629658087,
-  "ents_f": 0.7557077626,
+  "ents_p": 0.7497185741,
+  "ents_r": 0.767575874,
+  "ents_f": 0.7585421412,
   "ents_per_type": {
     "DATETIME": {
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-    "PRODUCT": {
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+    "ORGANIZATION": {
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+      "f": 0.7155963303
     },
-    "LOC": {
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+    "FACILITY": {
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     },
-    "GPE": {
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-      "f": 0.0
+    "NUMERIC_VALUE": {
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+      "f": 0.9110169492
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     "ORDINAL": {
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     },
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-      "f": 0.0
+    "EVENT": {
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     },
-    "ORGANIZATION": {
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+    "GPE": {
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+      "r": 0.8804597701,
+      "f": 0.8577827548
+    },
+    "PERSON": {
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+      "r": 0.7684563758,
+      "f": 0.7357429719
     },
     "NAT_REL_POL": {
-      "p": 0.0,
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-      "f": 0.0
+      "p": 0.9416058394,
+      "r": 0.86,
+      "f": 0.8989547038
     },
-    "WORK_OF_ART": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+    "MONEY": {
+      "p": 0.8888888889,
+      "r": 0.8275862069,
+      "f": 0.8571428571
     },
-    "EVENT": {
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-      "r": 0.0,
-      "f": 0.0
+    "PRODUCT": {
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+      "r": 0.4598540146,
+      "f": 0.4941176471
     },
-    "FACILITY": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+    "LOC": {
+      "p": 0.5063291139,
+      "r": 0.5263157895,
+      "f": 0.5161290323
+    },
+    "WORK_OF_ART": {
+      "p": 0.3846153846,
+      "r": 0.2631578947,
+      "f": 0.3125
     },
     "QUANTITY": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+      "p": 0.7878787879,
+      "r": 1.0,
+      "f": 0.8813559322
     },
-    "MONEY": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+    "PERIOD": {
+      "p": 0.8823529412,
+      "r": 0.7142857143,
+      "f": 0.7894736842
     },
     "LANGUAGE": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
-    },
-    "PERIOD": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
+      "p": 0.8,
+      "r": 1.0,
+      "f": 0.8888888889
     }
   },
-  "speed": 8391.5537539766
+  "speed": 8965.3614636966
 }

config.cfg

@@ -10,7 +10,7 @@ seed = 0
 
 [nlp]
 lang = "ro"
-pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
+pipeline = ["tok2vec","tagger","parser","lemmatizer","senter","attribute_ruler","ner"]
 disabled = ["senter"]
 before_creation = null
 after_creation = null
@@ -26,11 +26,22 @@ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
 validate = false
 
 [components.lemmatizer]
-factory = "lemmatizer"
-mode = "lookup"
-model = null
+factory = "trainable_lemmatizer"
+backoff = "orth"
+min_tree_freq = 3
 overwrite = false
 scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+top_k = 1
+
+[components.lemmatizer.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.lemmatizer.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode:width}
+upstream = "tok2vec"
 
 [components.ner]
 factory = "ner"
@@ -55,7 +66,7 @@ nO = null
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,2500,2500,2500,100]
+rows = [5000,1000,2500,2500,50]
 include_static_vectors = true
 
 [components.ner.model.tok2vec.encode]
@@ -93,8 +104,9 @@ overwrite = false
 scorer = {"@scorers":"spacy.senter_scorer.v1"}
 
 [components.senter.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.senter.model.tok2vec]
 @architectures = "spacy.Tok2Vec.v2"
@@ -115,12 +127,14 @@ maxout_pieces = 2
 
 [components.tagger]
 factory = "tagger"
+neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}
 
 [components.tagger.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.tagger.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
@@ -137,7 +151,7 @@ factory = "tok2vec"
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,2500,2500,2500,100]
+rows = [5000,1000,2500,2500,50]
 include_static_vectors = true
 
 [components.tok2vec.model.encode]
@@ -174,7 +188,7 @@ dropout = 0.1
 accumulate_gradient = 1
 patience = 5000
 max_epochs = 0
-max_steps = 0
+max_steps = 100000
 eval_frequency = 1000
 frozen_components = []
 before_to_disk = null
@@ -209,15 +223,15 @@ eps = 0.00000001
 learn_rate = 0.001
 
 [training.score_weights]
-tag_acc = 0.16
+tag_acc = 0.29
 dep_uas = 0.0
-dep_las = 0.16
+dep_las = 0.29
 dep_las_per_type = null
 sents_p = null
 sents_r = null
-sents_f = 0.02
-lemma_acc = 0.5
-ents_f = 0.16
+sents_f = 0.04
+lemma_acc = 0.1
+ents_f = 0.29
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null

lemmatizer/cfg

@@ -0,0 +1,1141 @@
+{
+  "labels":[
+    1,
+    2,
+    3,
+    7,
+    9,
+    12,
+    14,
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+}

lemmatizer/{lookups/lookups.bin → model}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29d980bbecacfa6599448d2fc5a0e58900ecce80f8674ac1fb8fbdfd434fea11
-size 5598187
+oid sha256:4318f7949ea178e82db2e969ce2b6c6858c6e2350b0560c030bbe2c7f3b12ecf
+size 441598

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ro",
   "name":"core_news_md",
-  "version":"3.2.0",
-  "description":"Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
+  "version":"3.3.0",
+  "description":"Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"CC BY-SA 4.0",
-  "spacy_version":">=3.2.0,<3.3.0",
-  "spacy_git_version":"bb26550e2",
+  "spacy_version":">=3.3.0.dev0,<3.4.0",
+  "spacy_git_version":"849bef2de",
   "vectors":{
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     "vectors":20000,
@@ -546,15 +546,8 @@
       "vocative",
       "xcomp"
     ],
-    "senter":[
-      "I",
-      "S"
-    ],
     "attribute_ruler":[
 
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-    "lemmatizer":[
-
     ],
     "ner":[
       "DATETIME",
@@ -579,17 +572,17 @@
     "tok2vec",
     "tagger",
     "parser",
-    "attribute_ruler",
     "lemmatizer",
+    "attribute_ruler",
     "ner"
   ],
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     "tagger",
     "parser",
+    "lemmatizer",
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     "attribute_ruler",
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     "ner"
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   "disabled":[
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