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加载中…
models/pretrain/fasttextwiki.pt 307 MBmodels/constituency/spmrl_german-nlp-electra.pt 179 MBmodels/depparse/hdt_german-nlp-electra.pt 160 MBmodels/depparse/combined_german-nlp-electra.pt 152 MBmodels/depparse/gsd_german-nlp-electra.pt 152 MBmodels/depparse/hdt_charlm.pt 145 MBmodels/depparse/combined_charlm.pt 137 MBmodels/depparse/gsd_charlm.pt 137 MBmodels/coref/udcoref_xlm-roberta-lora.pt 136 MBmodels/constituency/spmrl_charlm.pt 128 MBmodels/depparse/hdt_nocharlm.pt 112 MBmodels/pretrain/conll17.pt 107 MBmodels/depparse/combined_nocharlm.pt 103 MBmodels/depparse/gsd_nocharlm.pt 103 MBmodels/sentiment/sb10k_dbmdz-bert-german-cased.pt 102 MBmodels/sentiment/sb10k_german-nlp-electra.pt 102 MBmodels/ner/germeval2014_german-nlp-electra.pt 98 MBmodels/sentiment/sb10k_charlm.pt 78 MBmodels/ner/germeval2014_charlm.pt 76 MBmodels/pos/hdt_german-nlp-electra.pt 53 MBmodels/ner/conll03.pt 51 MBmodels/pos/combined_german-nlp-electra.pt 46 MBmodels/pos/gsd_german-nlp-electra.pt 46 MBmodels/pos/hdt_charlm.pt 45 MBmodels/pos/combined_charlm.pt 38 MBmodels/pos/gsd_charlm.pt 38 MBmodels/pos/hdt_nocharlm.pt 30 MBmodels/pos/combined_nocharlm.pt 23 MBmodels/pos/gsd_nocharlm.pt 23 MBmodels/backward_charlm/newswiki.pt 20 MBmodels/forward_charlm/newswiki.pt 20 MBmodels/lemma/combined_charlm.pt 13 MBmodels/lemma/hdt_charlm.pt 11 MBmodels/lemma/gsd_charlm.pt 9 MBmodels/lemma/combined_nocharlm.pt 7 MBmodels/lemma/hdt_nocharlm.pt 4 MBmodels/lemma/gsd_nocharlm.pt 3 MBmodels/tokenize/gsd_charlm.pt 3 MBmodels/tokenize/combined_charlm.pt 3 MBmodels/tokenize/hdt_charlm.pt 3 MBmodels/tokenize/combined_nocharlm.pt 655.8 kBmodels/tokenize/gsd_nocharlm.pt 655.7 kBmodels/tokenize/hdt_nocharlm.pt 637.6 kBmodels/mwt/hdt.pt 554.6 kBmodels/mwt/gsd.pt 547.3 kBmodels/mwt/combined.pt 547.3 kBStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Find more about it in our website and our GitHub repository.
##External data
The German lemmatizer's dictionary includes entries derived from German Wiktionary (https://de.wiktionary.org/), by the Wiktionary contributors. Those entries are licensed under the Creative Commons Attribution-ShareAlike 4.0 license (https://creativecommons.org/licenses/by-sa/4.0/). A description of the modifications is at https://stanfordnlp.github.io/stanza/combined_models.html#german-wiktionary
The converted entries are at https://github.com/stanfordnlp/handparsed-treebank/tree/master/german-lemmas-wiki
This card and repo were automatically prepared with hugging_stanza.py in the stanfordnlp/huggingface-models repo
Last updated 2026-11-02 19:53:31.164