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Universal Dependencies 2.0 Models for UDPipe ============================================ To use this model, you need UDPipe, an open-source tool for tokenization, tagging, lemmatization and parsing of CoNLL-U files. Please visit the UDPipe website http://ufal.mff.cuni.cz/udpipe for more information. Universal Dependencies 2.0 Models ================================= Universal Dependencies 2.0 Models are distributed under the CC BY-NC-SA (http://creativecommons.org/licenses/by-nc-sa/4.0/) licence. The models are based solely on Universal Dependencies 2.0 (http://hdl.handle.net/11234/1-1983) treebanks. The models work in UDPipe version 1.2 and later. Universal Dependencies 2.0 Models are versioned according to the date released in the format YYMMDD, where YY, MM and DD are two-digit representation of year, month and day, respectively. The latest version is 170801. Download -------- The latest version 170801 of the Universal Dependencies 2.0 models can be downloaded from LINDAT/CLARIN repository (http://hdl.handle.net/11234/1-2364). Acknowledgements ---------------- This work has been partially supported and has been using language resources and tools developed, stored and distributed by the LINDAT/CLARIN project of the Ministry of Education, Youth and Sports of the Czech Republic (project LM2015071). The wark was also partially supported by OP VVV projects CZ.02.1.01/0.0/0.0/16\_013/0001781 and CZ.02.2.69/0.0/0.0/16\_018/0002373, and by SVV project number 260 453. The models were trained on Universal Dependencies 2.0 (http://hdl.handle.net/11234/1-1983) treebanks. For the UD treebanks which do not contain original plain text version, raw text is used to train the tokenizer instead. The plain texts were taken from the W2C - Web to Corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9). Publications ------------ - (Straka et al. 2017) Milan Straka and Jana Straková. Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe (http://ufal.mff.cuni.cz/~straka/papers/2017-conll_udpipe.pdf). In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Vancouver, Canada, August 2017. - (Straka et al. 2016) Straka Milan, Hajič Jan, Straková Jana. UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing (http://ufal.mff.cuni.cz/~straka/papers/2016-lrec_udpipe.pdf). In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia, May 2016. Model Description ----------------- The Universal Dependencies 2.0 models contain 68 models of 50 languages, each consisting of a tokenizer, tagger, lemmatizer and dependency parser, all trained using the UD data. Note that we use custom train-dev split, by moving sentences from the beginning of dev data to the end of train data, until the training data is at least 9 times the dev data. The tokenizer is trained using the SpaceAfter=No features. If the features are not present in the data, they can be filled in using raw text in the language in question. The tagger, lemmatizer and parser are trained using gold UD data. Details about model architecture and training process can be found in the (Straka et al. 2017) paper. Reproducible Training --------------------- In case you want to train the same models, scripts for downloading and resplitting UD 2.0 data, precomputed word embedding, raw texts for tokenizers, all hyperparameter values and training scripts are available in the second archive on the model download page (http://hdl.handle.net/11234/1-2364). Model Performance ----------------- We present the tagger, lemmatizer and parser performance, measured on the testing portion of the data, evaluated in three different settings: using raw text only, using gold tokenization only, and using gold tokenization plus gold morphology (UPOS, XPOS, FEATS and Lemma). || Treebank | Mode | Words | Sents | UPOS | XPOS | Feats | AllTags | Lemma | UAS | LAS | | Ancient Greek | Raw text | 100.0% | 98.7% | 82.4% | 72.3% | 85.8% | 72.3% | 82.6% | 64.4% | 57.8% | | Ancient Greek | Gold tok | - | - | 82.4% | 72.4% | 85.8% | 72.3% | 82.7% | 64.6% | 57.9% | | Ancient Greek | Gold tok+morph | - | - | - | - | - | - | - | 69.2% | 64.4% | | Ancient Greek-PROIEL | Raw text | 100.0% | 47.2% | 95.8% | 96.0% | 88.6% | 87.2% | 92.6% | 71.8% | 67.1% | | Ancient Greek-PROIEL | Gold tok | - | - | 95.8% | 96.1% | 88.7% | 87.2% | 92.8% | 77.2% | 72.3% | | Ancient Greek-PROIEL | Gold tok+morph | - | - | - | - | - | - | - | 79.7% | 76.1% | | Arabic | Raw text | 93.8% | 83.1% | 88.4% | 83.4% | 83.5% | 82.3% | 87.5% | 71.7% | 65.8% | | Arabic | Gold tok | - | - | 94.4% | 89.5% | 89.6% | 88.3% | 92.6% | 81.3% | 74.3% | | Arabic | Gold tok+morph | - | - | - | - | - | - | - | 82.9% | 77.9% | | Basque | Raw text | 100.0% | 99.5% | 93.2% | - | 87.6% | - | 93.8% | 75.8% | 70.7% | | Basque | Gold tok | - | - | 93.3% | - | 87.7% | - | 93.9% | 75.9% | 70.8% | | Basque | Gold tok+morph | - | - | - | - | - | - | - | 82.3% | 78.4% | | Belarusian | Raw text | 99.4% | 76.8% | 88.2% | 85.6% | 71.7% | 68.6% | 81.3% | 68.0% | 60.6% | | Belarusian | Gold tok | - | - | 88.7% | 85.7% | 72.4% | 69.2% | 81.5% | 69.4% | 61.9% | | Belarusian | Gold tok+morph | - | - | - | - | - | - | - | 76.8% | 74.0% | | Bulgarian | Raw text | 99.9% | 93.9% | 97.6% | 94.6% | 95.6% | 94.0% | 94.6% | 88.8% | 84.8% | | Bulgarian | Gold tok | - | - | 97.7% | 94.7% | 95.6% | 94.1% | 94.7% | 89.5% | 85.5% | | Bulgarian | Gold tok+morph | - | - | - | - | - | - | - | 92.6% | 89.1% | | Catalan | Raw text | 100.0% | 99.2% | 98.0% | 98.0% | 97.1% | 96.5% | 97.9% | 88.8% | 85.7% | | Catalan | Gold tok | - | - | 98.0% | 98.0% | 97.2% | 96.5% | 97.9% | 88.8% | 85.8% | | Catalan | Gold tok+morph | - | - | - | - | - | - | - | 91.1% | 88.7% | | Chinese | Raw text | 90.2% | 98.8% | 84.0% | 83.8% | 89.0% | 82.7% | 90.2% | 62.9% | 58.7% | | Chinese | Gold tok | - | - | 92.2% | 92.0% | 98.7% | 90.8% | 100.0% | 75.6% | 70.1% | | Chinese | Gold tok+morph | - | - | - | - | - | - | - | 84.1% | 81.4% | | Coptic | Raw text | 65.8% | 35.7% | 62.6% | 62.1% | 65.7% | 62.1% | 64.6% | 41.1% | 39.3% | | Coptic | Gold tok | - | - | 95.1% | 94.3% | 99.7% | 94.2% | 96.2% | 83.2% | 79.2% | | Coptic | Gold tok+morph | - | - | - | - | - | - | - | 88.1% | 84.9% | | Croatian | Raw text | 99.9% | 97.0% | 95.9% | - | 84.3% | - | 94.4% | 83.6% | 77.9% | | Croatian | Gold tok | - | - | 96.0% | - | 84.4% | - | 94.4% | 83.9% | 78.1% | | Croatian | Gold tok+morph | - | - | - | - | - | - | - | 87.1% | 83.2% | | Czech | Raw text | 99.9% | 91.6% | 98.3% | 92.8% | 92.1% | 91.7% | 97.8% | 86.8% | 83.2% | | Czech | Gold tok | - | - | 98.4% | 92.9% | 92.2% | 91.9% | 97.9% | 87.7% | 84.1% | | Czech | Gold tok+morph | - | - | - | - | - | - | - | 90.2% | 87.5% | | Czech-CAC | Raw text | 100.0% | 99.8% | 98.1% | 90.6% | 89.4% | 89.1% | 97.0% | 86.9% | 82.7% | | Czech-CAC | Gold tok | - | - | 98.1% | 90.7% | 89.5% | 89.1% | 97.1% | 87.0% | 82.8% | | Czech-CAC | Gold tok+morph | - | - | - | - | - | - | - | 89.7% | 86.6% | | Czech-CLTT | Raw text | 99.5% | 92.3% | 96.5% | 87.5% | 87.8% | 87.3% | 96.8% | 80.2% | 76.6% | | Czech-CLTT | Gold tok | - | - | 97.0% | 87.9% | 88.3% | 87.7% | 97.2% | 81.0% | 77.6% | | Czech-CLTT | Gold tok+morph | - | - | - | - | - | - | - | 83.8% | 80.8% | | Danish | Raw text | 99.8% | 77.9% | 95.2% | - | 94.2% | - | 94.9% | 78.4% | 74.7% | | Danish | Gold tok | - | - | 95.5% | - | 94.5% | - | 95.0% | 80.4% | 76.6% | | Danish | Gold tok+morph | - | - | - | - | - | - | - | 85.6% | 82.7% | | Dutch | Raw text | 99.8% | 77.6% | 91.4% | 88.1% | 89.3% | 87.0% | 89.9% | 75.4% | 69.6% | | Dutch | Gold tok | - | - | 91.8% | 88.8% | 89.9% | 87.7% | 90.1% | 77.0% | 71.2% | | Dutch | Gold tok+morph | - | - | - | - | - | - | - | 82.9% | 79.4% | | Dutch-LassySmall | Raw text | 100.0% | 80.4% | 97.6% | - | 97.2% | - | 98.1% | 84.4% | 82.0% | | Dutch-LassySmall | Gold tok | - | - | 97.7% | - | 97.4% | - | 98.2% | 87.5% | 85.0% | | Dutch-LassySmall | Gold tok+morph | - | - | - | - | - | - | - | 89.7% | 87.4% | | English | Raw text | 99.0% | 76.6% | 93.5% | 92.9% | 94.4% | 91.5% | 96.0% | 80.2% | 77.2% | | English | Gold tok | - | - | 94.5% | 93.9% | 95.4% | 92.5% | 96.9% | 84.3% | 81.2% | | English | Gold tok+morph | - | - | - | - | - | - | - | 87.8% | 86.0% | | English-LinES | Raw text | 99.9% | 86.2% | 95.0% | 92.7% | - | - | - | 78.6% | 74.4% | | English-LinES | Gold tok | - | - | 95.1% | 92.8% | - | - | - | 79.5% | 75.3% | | English-LinES | Gold tok+morph | - | - | - | - | - | - | - | 84.1% | 81.1% | | English-ParTUT | Raw text | 99.6% | 97.5% | 94.2% | 94.0% | 93.3% | 92.0% | 96.9% | 81.6% | 77.9% | | English-ParTUT | Gold tok | - | - | 94.6% | 94.4% | 93.6% | 92.3% | 97.3% | 82.1% | 78.4% | | English-ParTUT | Gold tok+morph | - | - | - | - | - | - | - | 86.4% | 84.5% | | Estonian | Raw text | 99.9% | 94.2% | 91.2% | 93.2% | 85.0% | 83.2% | 84.5% | 72.4% | 65.6% | | Estonian | Gold tok | - | - | 91.3% | 93.2% | 85.0% | 83.3% | 84.5% | 72.8% | 66.0% | | Estonian | Gold tok+morph | - | - | - | - | - | - | - | 83.1% | 79.6% | | Finnish | Raw text | 99.7% | 86.7% | 94.5% | 95.7% | 91.5% | 90.3% | 86.5% | 80.5% | 76.9% | | Finnish | Gold tok | - | - | 94.9% | 96.0% | 91.8% | 90.7% | 86.8% | 82.0% | 78.4% | | Finnish | Gold tok+morph | - | - | - | - | - | - | - | 86.9% | 84.7% | | Finnish-FTB | Raw text | 100.0% | 86.4% | 92.0% | 91.0% | 92.5% | 89.2% | 88.9% | 80.1% | 75.7% | | Finnish-FTB | Gold tok | - | - | 92.2% | 91.3% | 92.7% | 89.5% | 88.9% | 81.7% | 77.3% | | Finnish-FTB | Gold tok+morph | - | - | - | - | - | - | - | 88.8% | 86.5% | | French | Raw text | 98.9% | 94.6% | 95.4% | - | 95.5% | - | 96.6% | 84.2% | 80.7% | | French | Gold tok | - | - | 96.5% | - | 96.5% | - | 97.6% | 85.4% | 82.0% | | French | Gold tok+morph | - | - | - | - | - | - | - | 88.4% | 86.0% | | French-ParTUT | Raw text | 99.0% | 97.8% | 94.5% | 94.2% | 91.9% | 90.8% | 94.3% | 82.9% | 78.7% | | French-ParTUT | Gold tok | - | - | 95.6% | 95.3% | 92.7% | 91.6% | 95.2% | 84.1% | 80.2% | | French-ParTUT | Gold tok+morph | - | - | - | - | - | - | - | 88.1% | 85.3% | | French-Sequoia | Raw text | 99.1% | 84.0% | 95.9% | - | 95.1% | - | 96.8% | 83.2% | 80.6% | | French-Sequoia | Gold tok | - | - | 96.8% | - | 96.0% | - | 97.7% | 85.1% | 82.7% | | French-Sequoia | Gold tok+morph | - | - | - | - | - | - | - | 88.7% | 87.4% | | Galician | Raw text | 99.9% | 95.8% | 97.2% | 96.7% | 99.7% | 96.4% | 97.1% | 81.0% | 77.8% | | Galician | Gold tok | - | - | 97.2% | 96.8% | 99.8% | 96.4% | 97.1% | 81.2% | 77.9% | | Galician | Gold tok+morph | - | - | - | - | - | - | - | 83.1% | 80.5% | | Galician-TreeGal | Raw text | 98.7% | 86.7% | 91.1% | 87.8% | 89.9% | 87.0% | 92.6% | 71.5% | 66.3% | | Galician-TreeGal | Gold tok | - | - | 92.4% | 88.8% | 91.0% | 88.0% | 93.7% | 74.4% | 68.7% | | Galician-TreeGal | Gold tok+morph | - | - | - | - | - | - | - | 81.5% | 77.1% | | German | Raw text | 99.7% | 79.3% | 90.7% | 94.7% | 80.5% | 76.3% | 95.4% | 74.0% | 68.6% | | German | Gold tok | - | - | 91.2% | 95.0% | 80.9% | 76.7% | 95.6% | 76.5% | 70.7% | | German | Gold tok+morph | - | - | - | - | - | - | - | 84.7% | 82.2% | | Gothic | Raw text | 100.0% | 29.5% | 94.2% | 94.8% | 87.6% | 85.6% | 92.9% | 69.7% | 63.5% | | Gothic | Gold tok | - | - | 94.8% | 95.3% | 88.0% | 86.5% | 92.9% | 78.8% | 72.6% | | Gothic | Gold tok+morph | - | - | - | - | - | - | - | 82.2% | 78.3% | | Greek | Raw text | 99.9% | 88.2% | 95.8% | 95.8% | 90.3% | 89.1% | 94.5% | 84.2% | 80.4% | | Greek | Gold tok | - | - | 96.0% | 96.0% | 90.5% | 89.3% | 94.6% | 85.0% | 81.1% | | Greek | Gold tok+morph | - | - | - | - | - | - | - | 87.9% | 85.9% | | Hebrew | Raw text | 85.2% | 100.0% | 80.9% | 80.9% | 77.6% | 76.8% | 79.6% | 62.2% | 57.9% | | Hebrew | Gold tok | - | - | 95.1% | 95.1% | 91.3% | 90.5% | 93.2% | 84.5% | 78.9% | | Hebrew | Gold tok+morph | - | - | - | - | - | - | - | 87.8% | 84.3% | | Hindi | Raw text | 100.0% | 99.1% | 95.8% | 94.9% | 90.3% | 87.7% | 98.0% | 91.3% | 87.3% | | Hindi | Gold tok | - | - | 95.8% | 94.9% | 90.3% | 87.7% | 98.0% | 91.4% | 87.3% | | Hindi | Gold tok+morph | - | - | - | - | - | - | - | 93.9% | 91.0% | | Hungarian | Raw text | 99.8% | 96.2% | 91.6% | - | 70.5% | - | 89.3% | 74.1% | 68.1% | | Hungarian | Gold tok | - | - | 91.8% | - | 70.6% | - | 89.5% | 74.5% | 68.5% | | Hungarian | Gold tok+morph | - | - | - | - | - | - | - | 81.2% | 78.5% | | Indonesian | Raw text | 100.0% | 92.0% | 93.5% | - | 99.5% | - | - | 80.6% | 74.3% | | Indonesian | Gold tok | - | - | 93.5% | - | 99.6% | - | - | 80.8% | 74.5% | | Indonesian | Gold tok+morph | - | - | - | - | - | - | - | 83.1% | 79.1% | | Irish | Raw text | 99.4% | 94.3% | 88.0% | 86.9% | 75.1% | 72.7% | 85.5% | 72.5% | 62.4% | | Irish | Gold tok | - | - | 88.5% | 87.4% | 75.5% | 73.1% | 86.0% | 73.3% | 63.1% | | Irish | Gold tok+morph | - | - | - | - | - | - | - | 78.1% | 71.4% | | Italian | Raw text | 99.8% | 97.1% | 97.2% | 97.0% | 97.0% | 96.1% | 97.3% | 88.8% | 86.1% | | Italian | Gold tok | - | - | 97.4% | 97.2% | 97.2% | 96.3% | 97.5% | 89.3% | 86.6% | | Italian | Gold tok+morph | - | - | - | - | - | - | - | 91.3% | 89.7% | | Japanese | Raw text | 91.9% | 95.1% | 89.1% | - | 91.8% | - | 91.1% | 78.0% | 76.6% | | Japanese | Gold tok | - | - | 96.6% | - | 100.0% | - | 99.0% | 93.4% | 91.5% | | Japanese | Gold tok+morph | - | - | - | - | - | - | - | 95.6% | 95.0% | | Kazakh | Raw text | 94.0% | 84.9% | 52.0% | 52.1% | 47.2% | 40.0% | 59.2% | 40.2% | 23.9% | | Kazakh | Gold tok | - | - | 55.4% | 55.4% | 50.1% | 42.2% | 63.1% | 45.2% | 27.0% | | Kazakh | Gold tok+morph | - | - | - | - | - | - | - | 60.5% | 42.5% | | Korean | Raw text | 99.7% | 92.7% | 94.4% | 89.7% | 99.3% | 89.7% | 99.4% | 67.4% | 60.5% | | Korean | Gold tok | - | - | 94.7% | 90.0% | 99.6% | 90.0% | 99.7% | 68.4% | 61.5% | | Korean | Gold tok+morph | - | - | - | - | - | - | - | 71.7% | 65.8% | | Latin | Raw text | 100.0% | 98.0% | 83.4% | 67.6% | 72.5% | 67.6% | 51.2% | 56.5% | 46.0% | | Latin | Gold tok | - | - | 83.4% | 67.6% | 72.5% | 67.6% | 51.2% | 56.6% | 46.1% | | Latin | Gold tok+morph | - | - | - | - | - | - | - | 67.8% | 61.5% | | Latin-ITTB | Raw text | 99.9% | 82.5% | 97.2% | 92.7% | 93.5% | 91.3% | 97.8% | 79.7% | 76.0% | | Latin-ITTB | Gold tok | - | - | 97.3% | 92.8% | 93.6% | 91.4% | 97.9% | 81.8% | 78.1% | | Latin-ITTB | Gold tok+morph | - | - | - | - | - | - | - | 87.6% | 85.2% | | Latin-PROIEL | Raw text | 99.9% | 31.0% | 94.9% | 95.0% | 87.7% | 86.7% | 94.8% | 66.1% | 60.7% | | Latin-PROIEL | Gold tok | - | - | 95.2% | 95.2% | 88.4% | 87.4% | 95.0% | 75.3% | 69.4% | | Latin-PROIEL | Gold tok+morph | - | - | - | - | - | - | - | 79.0% | 75.0% | | Latvian | Raw text | 99.2% | 97.1% | 89.6% | 76.2% | 83.2% | 75.7% | 87.6% | 69.2% | 62.8% | | Latvian | Gold tok | - | - | 90.2% | 76.8% | 84.0% | 76.3% | 88.3% | 70.3% | 63.9% | | Latvian | Gold tok+morph | - | - | - | - | - | - | - | 78.7% | 74.9% | | Lithuanian | Raw text | 98.2% | 92.0% | 74.0% | 73.0% | 68.9% | 63.7% | 73.5% | 44.0% | 32.4% | | Lithuanian | Gold tok | - | - | 74.6% | 73.5% | 69.7% | 64.2% | 74.2% | 44.6% | 33.0% | | Lithuanian | Gold tok+morph | - | - | - | - | - | - | - | 55.6% | 46.5% | | Norwegian-Bokmaal | Raw text | 99.8% | 96.5% | 96.9% | - | 95.3% | - | 96.6% | 86.9% | 84.1% | | Norwegian-Bokmaal | Gold tok | - | - | 97.1% | - | 95.5% | - | 96.8% | 87.5% | 84.7% | | Norwegian-Bokmaal | Gold tok+morph | - | - | - | - | - | - | - | 91.7% | 89.6% | | Norwegian-Nynorsk | Raw text | 99.9% | 92.2% | 96.5% | - | 94.9% | - | 96.4% | 85.6% | 82.5% | | Norwegian-Nynorsk | Gold tok | - | - | 96.6% | - | 95.0% | - | 96.5% | 86.5% | 83.3% | | Norwegian-Nynorsk | Gold tok+morph | - | - | - | - | - | - | - | 91.0% | 88.6% | | Old Church Slavonic | Raw text | 100.0% | 40.5% | 93.8% | 93.8% | 86.9% | 85.7% | 91.2% | 73.6% | 66.9% | | Old Church Slavonic | Gold tok | - | - | 94.1% | 94.1% | 87.6% | 86.5% | 91.2% | 81.6% | 74.7% | | Old Church Slavonic | Gold tok+morph | - | - | - | - | - | - | - | 86.7% | 82.2% | | Persian | Raw text | 99.7% | 98.2% | 96.0% | 96.0% | 96.1% | 95.4% | 93.5% | 83.3% | 79.4% | | Persian | Gold tok | - | - | 96.4% | 96.3% | 96.4% | 95.7% | 93.8% | 83.8% | 80.0% | | Persian | Gold tok+morph | - | - | - | - | - | - | - | 87.7% | 84.9% | | Polish | Raw text | 99.9% | 99.7% | 95.6% | 84.0% | 84.1% | 83.1% | 93.4% | 86.7% | 80.7% | | Polish | Gold tok | - | - | 95.7% | 84.1% | 84.2% | 83.3% | 93.6% | 87.0% | 81.0% | | Polish | Gold tok+morph | - | - | - | - | - | - | - | 92.9% | 89.5% | | Portuguese | Raw text | 99.6% | 89.4% | 96.4% | 72.7% | 93.3% | 71.6% | 96.8% | 86.0% | 82.6% | | Portuguese | Gold tok | - | - | 96.8% | 73.0% | 93.7% | 71.9% | 97.2% | 87.2% | 83.6% | | Portuguese | Gold tok+morph | - | - | - | - | - | - | - | 89.6% | 87.5% | | Portuguese-BR | Raw text | 99.9% | 96.8% | 97.0% | 97.0% | 99.7% | 97.0% | 98.8% | 88.5% | 86.3% | | Portuguese-BR | Gold tok | - | - | 97.2% | 97.2% | 99.9% | 97.2% | 98.9% | 88.8% | 86.6% | | Portuguese-BR | Gold tok+morph | - | - | - | - | - | - | - | 90.5% | 89.1% | | Romanian | Raw text | 99.7% | 93.9% | 96.6% | 95.9% | 96.0% | 95.7% | 96.5% | 85.6% | 80.2% | | Romanian | Gold tok | - | - | 96.9% | 96.2% | 96.3% | 96.0% | 96.8% | 86.2% | 80.8% | | Romanian | Gold tok+morph | - | - | - | - | - | - | - | 87.8% | 83.0% | | Russian | Raw text | 99.9% | 96.9% | 94.7% | 94.4% | 84.4% | 82.8% | 75.0% | 80.3% | 75.5% | | Russian | Gold tok | - | - | 94.8% | 94.5% | 84.5% | 82.9% | 75.1% | 80.8% | 76.0% | | Russian | Gold tok+morph | - | - | - | - | - | - | - | 84.8% | 81.9% | | Russian-SynTagRus | Raw text | 99.6% | 98.0% | 98.0% | - | 93.6% | - | 95.6% | 89.8% | 87.2% | | Russian-SynTagRus | Gold tok | - | - | 98.4% | - | 93.9% | - | 95.9% | 90.4% | 87.9% | | Russian-SynTagRus | Gold tok+morph | - | - | - | - | - | - | - | 91.8% | 90.5% | | Sanskrit | Raw text | 88.1% | 29.0% | 52.0% | - | 35.2% | - | 50.2% | 38.8% | 22.5% | | Sanskrit | Gold tok | - | - | 57.6% | - | 43.6% | - | 60.6% | 58.5% | 34.3% | | Sanskrit | Gold tok+morph | - | - | - | - | - | - | - | 72.9% | 58.5% | | Slovak | Raw text | 100.0% | 83.5% | 93.2% | 77.5% | 79.7% | 77.1% | 85.9% | 80.4% | 75.2% | | Slovak | Gold tok | - | - | 93.3% | 77.6% | 79.9% | 77.2% | 86.0% | 82.0% | 76.9% | | Slovak | Gold tok+morph | - | - | - | - | - | - | - | 88.2% | 85.5% | | Slovenian | Raw text | 99.9% | 98.9% | 96.2% | 88.2% | 88.5% | 87.7% | 95.3% | 84.9% | 81.6% | | Slovenian | Gold tok | - | - | 96.2% | 88.2% | 88.6% | 87.7% | 95.4% | 85.0% | 81.7% | | Slovenian | Gold tok+morph | - | - | - | - | - | - | - | 91.8% | 90.5% | | Slovenian-SST | Raw text | 99.9% | 17.8% | 89.0% | 81.1% | 81.3% | 78.6% | 91.6% | 53.0% | 46.6% | | Slovenian-SST | Gold tok | - | - | 89.4% | 81.6% | 81.8% | 79.3% | 91.7% | 63.4% | 56.0% | | Slovenian-SST | Gold tok+morph | - | - | - | - | - | - | - | 75.5% | 70.6% | | Spanish | Raw text | 99.7% | 95.3% | 95.5% | - | 96.1% | - | 95.9% | 84.9% | 81.4% | | Spanish | Gold tok | - | - | 95.8% | - | 96.3% | - | 96.1% | 85.5% | 81.9% | | Spanish | Gold tok+morph | - | - | - | - | - | - | - | 88.0% | 85.3% | | Spanish-AnCora | Raw text | 99.9% | 98.0% | 98.1% | 98.1% | 97.5% | 96.8% | 98.1% | 87.7% | 84.5% | | Spanish-AnCora | Gold tok | - | - | 98.2% | 98.2% | 97.5% | 96.9% | 98.1% | 87.8% | 84.7% | | Spanish-AnCora | Gold tok+morph | - | - | - | - | - | - | - | 90.2% | 87.6% | | Swedish | Raw text | 99.8% | 94.6% | 95.6% | 93.9% | 94.4% | 92.8% | 95.5% | 81.4% | 77.8% | | Swedish | Gold tok | - | - | 95.8% | 94.1% | 94.6% | 93.1% | 95.7% | 82.1% | 78.4% | | Swedish | Gold tok+morph | - | - | - | - | - | - | - | 88.0% | 85.0% | | Swedish-LinES | Raw text | 100.0% | 85.7% | 94.8% | 92.2% | - | - | - | 80.4% | 75.7% | | Swedish-LinES | Gold tok | - | - | 94.8% | 92.3% | - | - | - | 81.3% | 76.6% | | Swedish-LinES | Gold tok+morph | - | - | - | - | - | - | - | 86.0% | 82.6% | | Tamil | Raw text | 95.3% | 89.2% | 82.2% | 77.7% | 80.9% | 77.2% | 85.3% | 59.5% | 52.0% | | Tamil | Gold tok | - | - | 85.8% | 81.0% | 84.2% | 80.3% | 89.1% | 64.9% | 56.5% | | Tamil | Gold tok+morph | - | - | - | - | - | - | - | 78.9% | 71.8% | | Turkish | Raw text | 98.1% | 96.8% | 92.4% | 91.5% | 87.3% | 85.5% | 90.2% | 62.9% | 55.8% | | Turkish | Gold tok | - | - | 94.0% | 93.0% | 88.9% | 87.0% | 91.7% | 65.5% | 58.0% | | Turkish | Gold tok+morph | - | - | - | - | - | - | - | 66.8% | 61.1% | | Ukrainian | Raw text | 99.8% | 95.1% | 88.5% | 70.7% | 70.9% | 67.6% | 86.7% | 69.9% | 61.5% | | Ukrainian | Gold tok | - | - | 88.6% | 70.8% | 71.0% | 67.7% | 86.9% | 70.2% | 61.8% | | Ukrainian | Gold tok+morph | - | - | - | - | - | - | - | 79.0% | 74.5% | | Urdu | Raw text | 100.0% | 98.3% | 92.4% | 90.5% | 80.6% | 76.3% | 93.0% | 84.6% | 77.6% | | Urdu | Gold tok | - | - | 92.4% | 90.5% | 80.7% | 76.3% | 93.0% | 84.7% | 77.7% | | Urdu | Gold tok+morph | - | - | - | - | - | - | - | 88.2% | 83.0% | | Uyghur | Raw text | 99.8% | 67.2% | 74.7% | 79.1% | - | - | - | 55.1% | 35.0% | | Uyghur | Gold tok | - | - | 75.1% | 79.3% | - | - | - | 56.5% | 35.8% | | Uyghur | Gold tok+morph | - | - | - | - | - | - | - | 62.3% | 42.0% | | Vietnamese | Raw text | 85.3% | 92.9% | 77.4% | 75.4% | 85.1% | 75.4% | 84.5% | 46.9% | 42.5% | | Vietnamese | Gold tok | - | - | 89.3% | 86.8% | 99.6% | 86.8% | 99.0% | 64.4% | 57.2% | | Vietnamese | Gold tok+morph | - | - | - | - | - | - | - | 70.7% | 67.9% |
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