Universal Dependencies Pipeline 2.0
Year: 2,018
Journal: CoNLL
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
Input data:
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.