udpipe

This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at https://universaldependencies.org/format.html. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at doi:10.18653/v1/K17-3009. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntactical patterns) sentiment scoring and semantic similarity analysis.

Last 30 days

This package has been downloaded 5,802 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 195 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 56,870 times in the last 365 days. This work is reaching a lot of screens. A significant achievement indeed! The day with the most downloads was Oct 29, 2024 with 381 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.