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EN
Tr Core News Lg
Large-scale Turkish natural language processing pipeline, including tokenization, POS tagging, morphological analysis, lemmatization, dependency parsing, and named entity recognition.
Downloads 94
Release Time : 11/3/2022
Model Overview
This is a large spaCy model for Turkish, providing comprehensive natural language processing capabilities, including POS tagging, morphological analysis, lemmatization, dependency parsing, and named entity recognition tasks.
Model Features
Comprehensive Turkish processing capabilities
Supports various tasks for Turkish including POS tagging, morphological analysis, lemmatization, syntactic analysis, and named entity recognition
High-performance annotation
Achieves an F1 score of 0.89 in named entity recognition tasks and a POS tagging accuracy of 0.91
Rich training data sources
Integrates multiple high-quality datasets including UD Turkish BOUN, Turkish Wiki NER dataset, and PANX/WikiANN
Model Capabilities
POS tagging
Morphological analysis
Lemmatization
Dependency parsing
Named entity recognition
Sentence boundary detection
Use Cases
Text analysis
Turkish text processing
Performs POS tagging and morphological analysis on Turkish text
POS tagging accuracy 91.19%, morphological analysis accuracy 89.13%
Information extraction
Named entity recognition
Identifies entities such as person names, locations, and organizations from Turkish text
F1 score reaches 88.90%
🚀 tr_core_news_lg
This is a large-sized Turkish pipeline for TrSpaCy. It includes components such as tok2vec, tagger, morphologizer, lemmatizer, parser, and ner, which can be used for various natural language processing tasks in Turkish.
✨ Features
- A large-sized Turkish pipeline for TrSpaCy.
- Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner.
📚 Documentation
Model Information
| Property | Details |
|---|---|
| Model Type | tr_core_news_lg |
| Version | 3.4.2 |
| spaCy Compatibility | >=3.4.2,<3.5.0 |
| Default Pipeline | tok2vec, tagger, morphologizer, trainable_lemmatizer, parser |
| Components | tok2vec, tagger, morphologizer, trainable_lemmatizer, parser |
| Vectors | -1 keys, 200000 unique vectors (300 dimensions) |
| Sources | UD Turkish BOUN (Türk, Utku; Atmaca, Furkan; Özateş, Şaziye Betül; Berk, Gözde; Bedir, Seyyit Talha; Köksal, Abdullatif; Öztürk Başaran, Balkız; Güngör, Tunga; Özgür, Arzucan) Turkish Wiki NER dataset (Duygu Altinok, Co-one Istanbul) PANX/WikiANN (Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, Heng Ji) Large-sized Turkish Floret word vectors (MC4 corpus) (Duygu Altinok) |
| License | cc-by-sa-4.0 |
| Author | Duygu Altinok |
Label Scheme
View label scheme (1552 labels for 3 components)
| Component | Labels |
|---|---|
tagger |
ADP, ADV, ANum, ANum_Adj, ANum_Ness, ANum_Noun, ANum_With, ANum_Zero, Abr, Abr_With, Adj, Adj_Ness, Adj_With, Adj_Without, Adj_Zero, Adv, Adverb, Adverb_Adverb, Adverb_Noun, Adverb_Zero, Conj, Conj_Conj, DET, Demons, Demons_Zero, Det, Det_Zero, Dup, Interj, NAdj, NAdj_Aux, NAdj_Ness, NAdj_Noun, NAdj_Rel, NAdj_Verb, NAdj_With, NAdj_Without, NAdj_Zero, NNum, NNum_Rel, NNum_Zero, NOUN, Neg, Ness, Noun, Noun_Ness, Noun_Noun, Noun_Rel, Noun_Since, Noun_Verb, Noun_With, Noun_With_Ness, Noun_With_Verb, Noun_With_Zero, Noun_Without, Noun_Zero, PCAbl, PCAbl_Rel, PCAcc, PCDat, PCDat_Zero, PCGen, PCIns, PCIns_Zero, PCNom, PCNom_Adj, PCNom_Noun, PCNom_Zero, PRON, PUNCT, Pers, Pers_Ness, Pers_Pers, Pers_Rel, Pers_Zero, Postp, Prop, Prop_Conj, Prop_Rel, Prop_Since, Prop_With, Prop_Zero, Punc, Punc_Noun_Ness, Punc_Noun_Rel, Quant, Quant_Zero, Ques, Ques_Zero, Reflex, Reflex_Zero, Rel, SYM, Since, Since_Since, Verb, Verb_Conj, Verb_Ness, Verb_Noun, Verb_Verb, Verb_With, Verb_Zero, With, Without, Without_Zero, Zero |
morphologizer |
NumType=Card|POS=NUM, Aspect=Perf|Case=Loc|Mood=Ind|Number=Plur,Sing|Number[psor]=Sing|POS=NOUN|Person=1,3|Person[psor]=3|Tense=Pres, POS=PUNCT, POS=ADV, POS=NOUN, Case=Nom|Number=Sing|POS=ADJ|Person=3, POS=DET, Case=Loc|Number=Sing|POS=VERB|Person=1, Case=Nom|Number=Sing|POS=PRON|Person=3|PronType=Prs, Case=Dat|Number=Sing|POS=VERB|Person=3, POS=ADJ, Aspect=Perf|Case=Nom|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=3|Polarity=Pos|Tense=Past|VerbForm=Part, Case=Gen|Number=Sing|POS=NOUN|Person=3, POS=PRON, Case=Nom|Number=Sing|POS=NOUN|Person=3, Aspect=Perf|Case=Acc|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=3|Polarity=Pos|Tense=Past|VerbForm=Part, POS=VERB|Polarity=Pos|Tense=Pres|VerbForm=Part, Case=Acc|Number=Plur|POS=NOUN|Person=3, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=3|Tense=Past, Case=Nom|Number=Sing|POS=PROPN|Person=3, Case=Dat|Number=Sing|POS=PROPN|Person=3, POS=VERB|Polarity=Pos, Case=Acc|Number=Sing|POS=VERB|Person=3|Polarity=Pos, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Past, Aspect=Prog|Evident=Fh|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Past, Case=Abl|Number=Sing|POS=ADJ|Person=3, Case=Nom|Number=Plur|POS=NOUN|Person=3, Case=Loc|Number=Plur|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, POS=INTJ, Case=Abl|Number=Plur|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Ins|Number=Sing|POS=PROPN|Person=3, Case=Loc|Number=Sing|POS=PROPN|Person=3, Case=Acc|Number=Sing|POS=NOUN|Person=3, Aspect=Imp|POS=VERB|Polarity=Pos|Tense=Fut|VerbForm=Part, Case=Nom|Number=Sing|POS=PRON|Person=3, POS=CCONJ, Case=Nom|Number=Plur|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Nom|Mood=Imp|Number=Sing|POS=VERB|Person=3|Polarity=Pos|VerbForm=Conv|Voice=Cau, Case=Dat|Number=Sing|Number[psor]=Plur|POS=ADJ|Person=3|Person[psor]=1, Aspect=Prog|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Pres, Case=Gen|Number=Sing|POS=PROPN|Person=3, Case=Abl|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Nom|Number=Sing|POS=ADP|Person=3, Case=Dat|Number=Plur|POS=NOUN|Person=3, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Past|Voice=Pass, Case=Nom|POS=VERB|Polarity=Pos, Case=Nom|Number=Sing|POS=VERB|Person=3, Case=Loc|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Nom|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Voice=Cau, Case=Dat|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Acc|Number=Sing|POS=PROPN|Person=3, Aspect=Imp|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Fut, POS=ADP, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=1|Polarity=Pos|Tense=Past|Voice=Pass, Evident=Nfh|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Past, Case=Nom|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=1, Aspect=Perf|Number[psor]=Sing|POS=VERB|Person[psor]=3|Polarity=Pos|Tense=Past|VerbForm=Part, Aspect=Perf|Case=Nom|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=3|Polarity=Neg|Tense=Past|VerbForm=Part, Case=Acc|Number=Plur|POS=PRON|Person=3, Aspect=Perf|Number[psor]=Sing|POS=VERB|Person[psor]=3|Polarity=Pos|Tense=Past|VerbForm=Part|Voice=Cau, Case=Acc|Number=Plur|POS=VERB|Person=3, Aspect=Perf|Case=Abl|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=3|Polarity=Neg|Tense=Past|VerbForm=Part, Mood=Opt|Number=Sing|POS=VERB|Person=1|Polarity=Pos, Case=Dat|Number=Sing|POS=NOUN|Person=3, Aspect=Prog|Number=Sing|POS=VERB|Person=1|Polarity=Pos|Tense=Pres, Case=Gen|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Dat|Number=Plur|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Aspect=Prog|Evident=Fh|Number=Plur|POS=VERB|Person=1|Polarity=Pos|Tense=Past, Case=Acc|Number=Sing|POS=PRON|Person=1, Aspect=Perf|Evident=Fh|Number=Plur|POS=VERB|Person=3|Polarity=Neg|Tense=Past, Case=Ins|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Gen|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=1, Case=Dat|Number=Sing|Number[psor]=Sing|POS=ADJ|Person=3|Person[psor]=3, Case=Gen|Number=Sing|POS=PRON|Person=3, Case=Acc|Number=Plur|Number[psor]=Plur|POS=NOUN|Person=3|Person[psor]=1, Aspect=Hab|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Pres, Aspect=Hab|Number=Plur|POS=VERB|Person=1|Polarity=Pos|Tense=Pres, Case=Loc|Number=Sing|POS=NOUN|Person=3, Aspect=Perf|Case=Acc|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=3|Polarity=Neg|Tense=Past|VerbForm=Part, Aspect=Hab|Number=Sing|POS=VERB|Person=1|Polarity=Pos|Tense=Pres, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=1|Polarity=Pos|Tense=Past, Case=Gen|Number=Sing|Number[psor]=Plur|POS=NOUN|Person=3|Person[psor]=1, Aspect=Hab|Mood=Pot|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Pres, Case=Acc|Number=Plur|POS=PRON|Person=1, Case=Nom|Number=Sing|POS=NOUN|Person=3|Polarity=Pos, Case=Nom|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Person[psor]=3, Aspect=Hab|Mood=Imp|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Pres|VerbForm=Conv, Aspect=Hab|Mood=Pot|Number=Sing|POS=VERB|Person=3|Polarity=Pos|Tense=Pres|Voice=Cau, Case=Dat|Number=Plur|Number[psor]=Plur|POS=NOUN|Person=3|Person[psor]=1, Case=Abl|Number=Sing|POS=NOUN|Person=3, Mood=Imp|POS=VERB|Polarity=Pos|VerbForm=Conv, Aspect=Perf|Evident=Fh|Number=Plur|POS=VERB|Person=1|Polarity=Pos|Tense=Past, Case=Nom|Number=Plur|POS=PRON|Person=3, Case=Nom|Number=Sing|Number[psor]=Sing|POS=NUM|Person=3|Person[psor]=3, Case=Nom|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=1|Polarity=Neg|Tense=Past|Voice=Cau, Case=Nom|Number=Plur|POS=ADJ|Person=3, Aspect=Hab|Mood=Cnd|Number=Plur|POS=VERB|Person=2|Polarity=Pos|Tense=Pres, Aspect=Hab|Number=Plur|POS=VERB|Person=3|Polarity=Neg|Tense=Pres, Aspect=Hab|Number=Sing|POS=VERB|Person=3|Polarity=Neg|Tense=Pres, Aspect=Hab|Number=Plur|POS=VERB|Person=3|Polarity=Pos|Tense=Pres, Case=Gen|Number=Plur|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Case=Gen|Number=Plur|POS=NOUN|Person=3, Case=Ins|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3|Polarity=Pos, Aspect=Imp|Case=Acc|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=3|Polarity=Pos|Tense=Fut|VerbForm=Part, Case=Acc|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=3, Aspect=Imp|Number=Sing|POS=AUX|Person=3|Tense=Pres, Case=Loc|Number=Sing|POS=NUM|Person=3, Aspect=Perf|Evident=Fh|Number=Plur|POS=VERB|Person=3|Polarity=Pos|Tense=Past, Case=Loc|Number=Sing|Number[psor]=Sing|POS=NOUN|Person=3|Person[psor]=2, Case=Gen|Number=Plur|POS=PRON|Person=1, Aspect=Perf|Number[psor]=Plur|POS=VERB|Person[psor]=1|Polarity=Pos|Tense=Past|VerbForm=Part, Aspect=Prog|Number=Sing|POS=VERB|Person=3|Polarity=Neg|Tense=Pres, Case=Nom|Number=Sing|POS=PRON|Person=1, Case=Nom|Number=Sing|POS=NOUN|Person=1, Mood=Cnd|Number=Sing|POS=AUX|Person=3|Polarity=Pos, Case=Acc|Number=Sing|POS=PRON|Person=3, Aspect=Prog|Number=Plur|POS=VERB|Person=1|Polarity=Pos|Tense=Pres, Case=Ins|Number=Sing|POS=NOUN|Person=3, POS=VERB|Polarity=Pos|Tense=Pres|VerbForm=Part|Voice=Pass, Aspect=Perf|Case=Nom|Number=Sing|Number[psor]=Sing|POS=VERB|Person=3|Person[psor]=1|Polarity=Pos|Tense=Past|VerbForm=Part, Case=Nom|POS=VERB|Polarity=Pos|Voice=Cau, Aspect=Prog|Evident=Fh|Number=Sing|POS=VERB|Person=3|Polarity=Neg|Tense=Past, Case=Nom|Number=Sing|POS=ADJ|Person=3|Polarity=Pos, Case=Acc|Number=Sing|POS=VERB|Person=3, Aspect=Perf|Case=Nom|Mood=Gen|Number=Sing|POS=NOUN|Person=3|Tense=Pres, Case=Abl|Number=Plur|POS=NOUN|Person=3, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=3|Polarity=Neg|Tense=Past, Aspect=Prog|Evident=Fh|Number=Plur|POS=VERB|Person=3|Polarity=Neg|Tense=Past, Mood=Imp|POS=VERB|Polarity=Pos|VerbForm=Conv|Voice=Cau, Aspect=Perf|Evident=Fh|Number=Sing|POS=VERB|Person=1|Polarity=Pos|Tense=Past|Voice=Cau, Case=Nom|Number=Plur|Number[psor]=Plur|POS=NOUN|Person=3|Person[psor]=3 |
Model Performance
| Task | Metric | Value |
|---|---|---|
| NER | NER Precision | 0.8953552753 |
| NER | NER Recall | 0.8828096567 |
| NER | NER F Score | 0.889038209 |
| TAG | TAG (XPOS) Accuracy | 0.9119084416 |
| POS | POS (UPOS) Accuracy | 0.9067747055 |
| MORPH | Morph (UFeats) Accuracy | 0.891348845 |
| LEMMA | Lemma Accuracy | 0.8231760731 |
| UNLABELED_DEPENDENCIES | Unlabeled Attachment Score (UAS) | 0.7348022033 |
| LABELED_DEPENDENCIES | Labeled Attachment Score (LAS) | 0.6372603014 |
| SENTS | Sentences F-Score | 0.8446550816 |
📄 License
This project is licensed under the cc-by-sa-4.0 license.
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