Universal Dependencies POS Tagger for cs / Czech

A POS tagger for cs / Czech using the Universal Dependencies POS tagset.

This tagger is based on a simple maximum entropy model trained on the corpus from the universal dependencies collection using the GATE Learning Framework plugin.

The model is trained on all available corpora, except the test corpus. Evaluation on the test set gives 0.9566 accuracy. Accuracy on out-of-vocabulary words (words not seen in the trainin set) is 0.9034 (case-sensitive) / 0.911 (not case-sensitive).

Default annotations
:Token Tokens generated with the alternate tokeniser. The universal dependencies POS tag is stored in feature "upos".
Additional annotations available if selected
:Sentence The sentence annotation created by the default regular expression sentence splitter
1,200 free requests / day
Larger batches GBP0.80 / CPU hour

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Single documents

You can process up to 1,200 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.

The API endpoint for this pipeline is:


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Batches of documents

You can process any amount of data with this pipeline on a pay-as-you-go basis, for GBP0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.

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