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EN
Tr Core News Trf
Turkish transformer pipeline for TrSpaCy, including transformer, tokenizer, morphological analyzer, lemmatizer, parser, and named entity recognizer components.
Downloads 208
Release Time : 10/31/2022
Model Overview
This is a transformer-based Turkish natural language processing model designed for the SpaCy framework, supporting various NLP tasks including part-of-speech tagging, morphological analysis, named entity recognition, etc.
Model Features
Comprehensive NLP Components
Includes transformer, tokenizer, morphological analyzer, lemmatizer, parser, and named entity recognizer, covering multiple NLP tasks.
High Performance
Achieves an F1 score of 0.913 in NER tasks and a part-of-speech tagging accuracy of 0.917, demonstrating excellent performance.
Transformer-based Architecture
Uses the dbmdz Turkish BERT model (case-sensitive) as the foundation, providing robust language understanding capabilities.
Model Capabilities
Part-of-speech tagging
Morphological analysis
Lemmatization
Dependency parsing
Named entity recognition
Sentence segmentation
Use Cases
Text Processing
Turkish Text Analysis
Comprehensive linguistic analysis of Turkish texts, including part-of-speech tagging and morphological analysis.
Accurately identifies part-of-speech, morphological features, and syntactic relationships in text
Information Extraction
Named Entity Recognition
Identify and classify named entities such as person names, locations, etc., from Turkish texts.
NER F1 score reaches 0.913
🚀 tr_core_news_trf
A Turkish transformer pipeline for TrSpaCy, supporting tasks like NER, TAG, POS, etc.
✨ Features
- A Turkish transformer pipeline for TrSpaCy.
- Components include transformer, tagger, morphologizer, lemmatizer, parser, and ner.
📚 Documentation
Model Information
| Property | Details |
|---|---|
| Model Type | Turkish transformer pipeline for TrSpaCy |
| Version | 3.4.2 |
| spaCy Compatibility | >=3.4.2,<3.5.0 |
| Default Pipeline | transformer, tagger, morphologizer, trainable_lemmatizer, parser, ner |
| Components | transformer, tagger, morphologizer, trainable_lemmatizer, parser, ner |
| Vectors | 0 keys, 0 unique vectors (0 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) dbmdz Turkish BERT model (cased) (Bayerische Staatsbibliothek) |
| License | cc-by-sa-4.0 |
| Author | Duygu |
Results
| Task | Metric | Value |
|---|---|---|
| NER | NER Precision | 0.9135450185 |
| NER | NER Recall | 0.9127138178 |
| NER | NER F Score | 0.913129229 |
| TAG | TAG (XPOS) Accuracy | 0.9174219957 |
| POS | POS (UPOS) Accuracy | 0.9094402673 |
| MORPH | Morph (UFeats) Accuracy | 0.9145220588 |
| LEMMA | Lemma Accuracy | 0.8782380178 |
| UNLABELED_DEPENDENCIES | Unlabeled Attachment Score (UAS) | 0.7988988989 |
| LABELED_DEPENDENCIES | Labeled Attachment Score (LAS) | 0.7189673288 |
| SENTS | Sentences F-Score | 0.8765432099 |
Label Scheme
View label scheme (1572 labels for 4 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|Perso |
📄 License
This project is licensed under the cc-by-sa-4.0 license.
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