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EN
De Core News Lg
Large German language processing model provided by spaCy, supporting NLP tasks such as POS tagging, dependency parsing, and named entity recognition
Downloads 66
Release Time : 3/2/2022
Model Overview
CPU-optimized German processing pipeline, including complete NLP functionalities such as tokenization, POS tagging, morphological analysis, dependency parsing, lemmatization, sentence segmentation, and named entity recognition
Model Features
Complete NLP Pipeline
Integrated suite of natural language processing components including tokenization, POS tagging, and dependency parsing
High-accuracy POS Tagging
UPOS tagging accuracy of 98.4%, XPOS tagging accuracy of 97.9%
Optimized CPU Performance
Specifically optimized for CPU usage scenarios
Rich Morphological Analysis
Supports complex German morphological feature analysis with 92% accuracy
Model Capabilities
Tokenization
POS Tagging
Named Entity Recognition
Dependency Parsing
Lemmatization
Sentence Segmentation
Morphological Analysis
Use Cases
Text Processing
German Text Parsing
Automatically analyzes the grammatical structure and lexical features of German sentences
Obtains complete syntax trees and POS tagging information
Information Extraction
German Entity Recognition
Identifies entities such as person names, locations, and organizations from German text
Achieves an F1 score of 84.8%
๐ de_core_news_lg
The German pipeline optimized for CPU, featuring components like tok2vec, tagger, and ner for various NLP tasks.
๐ Quick Start
For more details about this model, please visit Details.
โจ Features
This German pipeline is optimized for CPU and includes multiple components such as tok2vec, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, and ner.
๐ Documentation
Model Information
| Property | Details |
|---|---|
| Model Name | de_core_news_lg |
| Version | 3.7.0 |
| spaCy Compatibility | >=3.7.0,<3.8.0 |
| Default Pipeline | tok2vec, tagger, morphologizer, parser, lemmatizer, attribute_ruler, ner |
| Components | tok2vec, tagger, morphologizer, parser, lemmatizer, senter, attribute_ruler, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | TIGER Corpus (Brants, Sabine, Stefanie Dipper, Peter Eisenberg, Silvia Hansen, Esther Kรถnig, Wolfgang Lezius, Christian Rohrer, George Smith, and Hans Uszkoreit) Tiger2Dep (Wolfgang Seeker) WikiNER (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion) |
| License | MIT |
| Author | Explosion |
Model Performance
| Task | Metric | Value |
|---|---|---|
| NER | NER Precision | 0.8527131783 |
| NER | NER Recall | 0.844401557 |
| NER | NER F Score | 0.8485370145 |
| TAG | TAG (XPOS) Accuracy | 0.9795559667 |
| POS | POS (UPOS) Accuracy | 0.9841217399 |
| MORPH | Morph (UFeats) Accuracy | 0.9205894013 |
| LEMMA | Lemma Accuracy | 0.9790945371 |
| UNLABELED_DEPENDENCIES | Unlabeled Attachment Score (UAS) | 0.9265658098 |
| LABELED_DEPENDENCIES | Labeled Attachment Score (LAS) | 0.9078030166 |
| SENTS | Sentences F-Score | 0.9541230945 |
Label Scheme
View label scheme (772 labels for 4 components)
| Component | Labels |
|---|---|
tagger |
$(, $,, $., ADJA, ADJD, ADV, APPO, APPR, APPRART, APZR, ART, CARD, FM, ITJ, KOKOM, KON, KOUI, KOUS, NE, NN, NNE, PDAT, PDS, PIAT, PIS, PPER, PPOSAT, PPOSS, PRELAT, PRELS, PRF, PROAV, PTKA, PTKANT, PTKNEG, PTKVZ, PTKZU, PWAT, PWAV, PWS, TRUNC, VAFIN, VAIMP, VAINF, VAPP, VMFIN, VMINF, VMPP, VVFIN, VVIMP, VVINF, VVIZU, VVPP, XY, _SP |
morphologizer |
POS=PUNCT, Case=Nom|Gender=Masc|Number=Sing|POS=PROPN, Mood=Sub|Number=Sing|POS=AUX|Person=3|Tense=Past|VerbForm=Fin, POS=ADV, Case=Nom|Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Case=Nom|Degree=Pos|Gender=Masc|Number=Sing|POS=ADJ, Case=Nom|Gender=Masc|Number=Sing|POS=NOUN, Case=Nom|Gender=Masc|Number=Plur|POS=NOUN, Mood=Ind|Number=Plur|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Case=Acc|Definite=Def|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Case=Acc|Gender=Masc|Number=Sing|POS=NOUN, POS=ADP, Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Case=Acc|Degree=Pos|Gender=Fem|Number=Sing|POS=ADJ, Case=Acc|Gender=Fem|Number=Sing|POS=NOUN, Case=Acc|Gender=Fem|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Nom|Definite=Def|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Case=Acc|Definite=Def|Gender=Neut|Number=Sing|POS=DET|PronType=Art, Case=Acc|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Case=Acc|Gender=Neut|Number=Sing|POS=NOUN, Case=Dat|Gender=Neut|Number=Sing|POS=PROPN, POS=VERB|VerbForm=Part, Case=Dat|Gender=Fem|Number=Plur|POS=NOUN, Foreign=Yes|POS=X, Degree=Pos|POS=ADV, Case=Dat|Gender=Neut|Number=Sing|POS=ADP, Case=Dat|Gender=Neut|Number=Sing|POS=NOUN, Case=Dat|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Case=Dat|Definite=Def|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Case=Dat|Degree=Pos|Gender=Masc|Number=Sing|POS=ADJ, Case=Dat|Gender=Masc|Number=Sing|POS=NOUN, POS=CCONJ, POS=SCONJ, Case=Acc|Definite=Ind|Gender=Neut|Number=Sing|POS=DET|PronType=Art, POS=VERB|VerbForm=Inf, Mood=Ind|Number=Plur|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Case=Nom|Gender=Masc|Number=Plur|POS=DET|Poss=Yes|PronType=Prs, Case=Nom|Gender=Fem|Number=Plur|POS=DET|PronType=Dem, Case=Nom|Gender=Fem|Number=Plur|POS=NOUN, Case=Acc|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Case=Acc|Degree=Sup|Gender=Fem|Number=Sing|POS=ADJ, Case=Gen|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Case=Gen|Gender=Fem|Number=Sing|POS=NOUN, Case=Dat|Gender=Fem|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Dat|Gender=Fem|Number=Sing|POS=NOUN, POS=PART, Case=Nom|Gender=Masc|Number=Plur|POS=DET|PronType=Ind, Case=Nom|Definite=Def|Gender=Masc|Number=Plur|POS=DET|PronType=Art, Case=Dat|Definite=Def|Number=Plur|POS=DET|PronType=Art, Case=Dat|Number=Plur|POS=PROPN, POS=PRON|PronType=Ind, Case=Dat|Number=Plur|POS=PRON|Person=3|PronType=Prs|Reflex=Yes, Case=Acc|Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Case=Acc|Gender=Masc|Number=Sing|POS=PROPN, Case=Dat|Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Case=Gen|Definite=Def|Gender=Neut|Number=Sing|POS=DET|PronType=Art, Case=Gen|Gender=Neut|Number=Sing|POS=NOUN, Case=Nom|Number=Sing|POS=PROPN, Case=Dat|Definite=Def|Gender=Masc|Number=Plur|POS=DET|PronType=Art, Case=Dat|Gender=Masc|Number=Plur|POS=NOUN, POS=NUM, Case=Dat|Gender=Neut|Number=Plur|POS=NOUN, Mood=Ind|Number=Plur|POS=VERB|Person=3|Tense=Past|VerbForm=Fin, Case=Dat|Gender=Masc|Number=Sing|POS=ADP, Gender=Neut|POS=NOUN, Case=Acc|Number=Sing|POS=PROPN, Case=Acc|Number=Plur|POS=PRON|Person=3|PronType=Prs|Reflex=Yes, Case=Nom|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Case=Nom|Gender=Fem|Number=Sing|POS=NOUN, Case=Gen|Definite=Def|Number=Plur|POS=DET|PronType=Art, Case=Acc|Gender=Fem|Number=Plur|POS=NOUN, Mood=Sub|Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Case=Nom|Gender=Masc|Number=Sing|POS=PRON|Person=3|PronType=Prs, Case=Gen|Definite=Def|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Case=Gen|Gender=Masc|Number=Sing|POS=NOUN, Case=Nom|Definite=Def|Number=Plur|POS=DET|PronType=Art, Case=Nom|Number=Plur|POS=NOUN, Case=Acc|Gender=Masc|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Dat|Definite=Def|Gender=Neut|Number=Sing|POS=DET|PronType=Art, Case=Nom|Number=Plur|POS=PRON|PronType=Ind, Case=Dat|Gender=Masc|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Acc|Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Art, POS=PROPN, Case=Nom|Number=Sing|POS=PRON|Person=1|PronType=Prs, Mood=Ind|Number=Sing|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, POS=INTJ, Case=Nom|Gender=Neut|Number=Sing|POS=PRON|PronType=Dem, Case=Nom|Gender=Neut|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Nom|Gender=Neut|Number=Sing|POS=NOUN, Case=Acc|Number=Sing|POS=PRON|Person=3|PronType=Prs|Reflex=Yes, Case=Nom|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs, Mood=Sub|Number=Sing|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Case=Nom|Gender=Masc|Number=Sing|POS=PRON|PronType=Rel, Case=Acc|Gender=Masc|Number=Sing|POS=PRON|PronType=Ind, Case=Nom|Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Case=Nom|Degree=Pos|Gender=Fem|Number=Sing|POS=ADJ, Case=Dat|Degree=Pos|Gender=Fem|Number=Plur|POS=ADJ, Case=Acc|Gender=Masc|Number=Plur|POS=DET|PronType=Ind, Case=Acc|Gender=Masc|Number=Plur|POS=NOUN, Case=Nom|Gender=Masc|Number=Plur|POS=PRON|PronType=Rel, Case=Nom|Gender=Masc|Number=Sing|POS=PRON|PronType=Ind, Case=Dat|Gender=Masc|Number=Plur|POS=PRON|Person=3|PronType=Prs, Case=Nom|Gender=Neut|Number=Plur|POS=NOUN, Case=Acc|Gender=Neut|Number=Plur|POS=PRON|PronType=Rel, Case=Dat|Number=Plur|POS=PRON|Person=3|PronType=Prs, Case=Dat|Gender=Masc|Number=Sing|POS=PRON|PronType=Rel, Gender=Masc|POS=NOUN, Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Past|VerbForm=Fin, Case=Nom|Definite=Def|Gender=Fem|Number=Plur|POS=DET|PronType=Art, Case=Nom|Gender=Fem|Number=Sing|POS=DET|PronType=Int, Case=Gen|Gender=Masc|Number=Sing|POS=PROPN, POS=SCONJ|PronType=Int, Case=Acc|Gender=Fem|Number=Plur|POS=DET|Poss=Yes|PronType=Prs, Case=Dat|Degree=Pos|Gender=Masc|Number=Plur|POS=ADJ, Case=Nom|Number=Sing|POS=PRON|PronType=Ind, Case=Gen|Definite=Def|Gender=Fem|Number=Plur|POS=DET|PronType=Art, Case=Gen|Gender=Fem|Number=Plur|POS=NOUN, Case=Dat|Gender=Masc|Number=Sing|POS=PRON|Person=3|PronType=Prs, Case=Dat|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Case=Nom|Gender=Masc|Number=Sing|POS=DET|PronType=Ind, Case=Dat|Degree=Pos|Gender=Fem|Number=Sing|POS=ADJ, Case=Acc|Gender=Neut|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Dat|Gender=Neut|Number=Sing|POS=PRON|PronType=Ind, Case=Dat|Degree=Cmp|Gender=Fem|Number=Plur|POS=ADJ, Case=Nom|Degree=Pos|Gender=Masc|Number=Plur|POS=ADJ, Gender=Neut|POS=PRON|PronType=Ind, Case=Acc|Gender=Masc|Number=Sing|POS=PRON|Person=3|PronType=Prs, Case=Dat|Number=Plur|POS=DET|Poss=Yes|PronType=Prs, Case=Dat|Number=Plur|POS=NOUN, Case=Dat|Gender=Masc|Number=Sing|POS=PRON|PronType=Ind, Case=Nom|Gender=Fem|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Case=Dat|Gender=Masc|Number=Sing|POS=PROPN, Case=Gen|Gender=Masc|Number=Sing|POS=PRON|PronType=Dem, Case=Dat|Gender=Fem|Number=Sing|POS=ADP, Case=Acc|Gender=Fem|Number=Plur|POS=DET|PronType=Int, Case=Gen|Number=Plur|POS=PROPN, Case=Acc|Gender=Fem|Number=Plur|POS=DET|PronType=Dem, Case=Acc|Gender=Neut|Number=Plur|POS=NOUN, Case=Acc|Degree=Pos|Gender=Masc|Number=Sing|POS=ADJ, Case=Nom|Definite=Def|Gender=Neut|Number=Plur|POS=DET|PronType=Art, Case=Gen|Gender=Neut|Number=Sing|POS=DET|Poss=Yes|PronType=Prs, Degree=Cmp|POS=ADV, Case=Nom|Gender=Neut|Number=Plur|POS=PRON|PronType=Dem, Case=Gen|Definite=Ind|Gender=Neut|Number=Sing|POS=DET|PronType=Art, Case=Acc|Gender=Neut|Number=Sing|POS=ADP, Case=Dat|Number=Plur|POS=PRON|Person=1|PronType=Prs, Case=Acc|Gender=Neut|Number=Sing|POS=PRON|PronType=Int, Case=Dat|Definite=Ind|Gender=Neut|Number=Sing|POS=DET|PronType=Art, Mood=Ind|Number=Plur|POS=AUX|Person=3|Tense=Past|VerbForm=Fin, Case=Gen|Definite=Def|Gender=Masc|Number=Plur|POS=DET|PronType=Art, Case=Gen|Gender=Masc|Number=Plur|POS=NOUN, Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs, Case=Acc|Degree=Sup|Gender=Masc|Number=Sing|POS=ADJ, Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs, Case=Gen|Gender=Masc|Number=Plur|POS=DET|Poss=Yes|PronType=Prs, Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Past|VerbForm=Fin, Case=Gen|Number=Sing|POS=PROPN, Case=Nom|Definite=Def|Gender=Neut|Number=Sing|POS=DET|PronType=Art, Case=Nom|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Case=Dat|Gender=Fem|Number=Plur|POS=PRON|PronType=Rel, Case=Acc|Degree=Pos|Gender=Masc|Number=Plur|POS=ADJ, Case=Nom|Gender=Fem|Number=Plur|POS=DET|PronType=Ind, Case=Gen|Gender=Neut|Number=Sing|POS=PROPN, Case=Gen|Gender=Masc|Number=Sing|POS=DET|PronType=Rel, Case=Nom|Gender=Neut|Number=Sing|POS=PRON|PronType=Int, Case=Acc|Gender=Neut|Number=Sing|POS=DET|PronType=Ind, Case=Gen|Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Art, POS=X, `Case=Dat|Degree |
๐ License
This project is licensed under the MIT license.
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