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EN
De Core News Sm
CPU-optimized German processing pipeline, including tokenization, POS tagging, morphological analysis, dependency parsing, lemmatization, named entity recognition, etc.
Downloads 161
Release Time : 3/2/2022
Model Overview
A small German language model provided by spaCy, suitable for basic NLP tasks in German text processing, including tokenization, POS tagging, named entity recognition, etc. The model is optimized for CPU usage and is ideal for resource-limited environments.
Model Features
CPU Optimization
Specially optimized for CPU usage, suitable for resource-limited environments
Comprehensive NLP Features
Provides a complete German text processing pipeline, including tokenization, POS tagging, dependency parsing, etc.
High Accuracy
Achieves 97.38% accuracy in POS tagging and an F1 score of 82.04% in named entity recognition
Trainable Lemmatizer
Includes a trainable lemmatization component to improve lemmatization accuracy
Model Capabilities
Tokenization
POS tagging
Morphological analysis
Dependency parsing
Lemmatization
Named entity recognition
Sentence segmentation
Use Cases
Text Processing
German Text Analysis
Performs grammatical and structural analysis of German text
Identifies linguistic features such as POS tags and dependency relations
Information Extraction
Extracts named entities from German text
Identifies entities such as person names, locations, and organizations
Language Learning
German Learning Tool
Provides grammatical analysis for German learners
Helps understand sentence structure and word inflections
🚀 de_core_news_sm
This is a German pipeline optimized for CPU, which can perform tasks such as NER, TAG, POS, MORPH, LEMMA, UNLABELED_DEPENDENCIES, LABELED_DEPENDENCIES, and SENTS.
📚 Documentation
Details
For more details, please visit: https://spacy.io/models/de#de_core_news_sm
This German pipeline is optimized for CPU. Components include: tok2vec, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner.
| Property | Details |
|---|---|
| Model Type | German pipeline optimized for CPU |
| Version | 3.7.0 |
| spaCy | >=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 | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | TIGER Corpus (Brants, Sabine, Stefanie Dipper, Peter Eisenberg, Silvia Hansen, Esther König, Wolfgang Lezius, Christian Rohrer, George Smith, and Hans Uszkoreit) Tiger2Dep (Wolfgang Seeker) WikiNER (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) |
| License | MIT |
| Author | Explosion |
Model Index
| Task | Metrics | Value |
|---|---|---|
| NER | NER Precision | 0.8304823051 |
| NER | NER Recall | 0.8106276632 |
| NER | NER F Score | 0.8204348804 |
| TAG | TAG (XPOS) Accuracy | 0.9738469671 |
| POS | POS (UPOS) Accuracy | 0.9801441777 |
| MORPH | Morph (UFeats) Accuracy | 0.9065560122 |
| LEMMA | Lemma Accuracy | 0.9746015805 |
| UNLABELED_DEPENDENCIES | Unlabeled Attachment Score (UAS) | 0.9192300179 |
| LABELED_DEPENDENCIES | Labeled Attachment Score (LAS) | 0.8984777676 |
| SENTS | Sentences F-Score | 0.937338274 |
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=Sup|Gender=Fem|Number=Sing|POS=ADJ, Case=Gen|Number=Plur|POS=NOUN, Case=Gen|Degree=Pos|Gender=Masc|Num |
📄 License
This project is licensed under the MIT license.
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