no code implementations • NAACL (AmericasNLP) 2021 • Francis Tyers, Nick Howell
We study the performance of several popular neural part-of-speech taggers from the Universal Dependencies ecosystem on Mayan languages using a small corpus of 1435 annotated K’iche’ sentences consisting of approximately 10, 000 tokens, with encouraging results: F_1 scores 93%+ on lemmatisation, part-of-speech and morphological feature assignment.
2 code implementations • 14 Oct 2022 • Amir Zeldes, Nick Howell, Noam Ordan, Yifat Ben Moshe
Foundational Hebrew NLP tasks such as segmentation, tagging and parsing, have relied to date on various versions of the Hebrew Treebank (HTB, Sima'an et al. 2001).
no code implementations • LREC 2020 • Anastasia Nikiforova, Sergey Pletenev, Daria Sinitsyna, Semen Sorokin, Anastasia Lopukhina, Nick Howell
Currently, to get a measure of the language unit predictability, a neurolinguistic experiment known as a cloze task has to be conducted on a large number of participants.
2 code implementations • LREC 2020 • Amr Keleg, Francis Tyers, Nick Howell, Tommi Pirinen
In this paper, we have developed a method for weighting a morphological analyzer built using finite state transducers in order to disambiguate its results.