Closed nimasTT closed 2 years ago
Hi @nimasTT, thanks for the report, will check here what could be the issue with the training data or tokenization rules.
thanks. I found also some failures for spanish. For Noun phrases, many word endings are cutted. It seems like a stemming or lematization failure. I am comparing the sentences with http://corenlp.run and would like to change to catalyst instead.
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in more than 20%, the POS Tagger for German marks the alphabet letters as NOUN in Twitter text. In comparison, the Corenlp does not make this mistake. I am using the online trained models: ` public CatalystAnalyzer() {