Universal Dependencies Pipeline 2.0
Languages: Afrikaans, Ancient Greek, Arabic, Armenian, Basque, Breton, Bulgarian, Buryat, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Faroese, Finnish, French, Galician, German, Gothic, Greek, Hebrew, Hindi, Hungarian, Indonesian, Irish, Italian, Japanese, Kazakh, Korean, Kurmanji, Latin, Latvian, Naija, North Sami, Norwegian, Old Church Slavonic, Old French, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Thai, Turkish, Ukrainian, Upper Sorbian, Urdu, Uyghur, Vietnamese
Programming languages: Python
CoNLL-U formatted files
Project website: https://ufal.mff.cuni.cz/udpipehttps://ufal.mff.cuni.cz/udpipe/2
The prototype utilizes an artificial neural network with a single joint model for POS tagging, lemmatization and dependency parsing, and is trained only using the CoNLL-U training data and pretrained word embeddings.