1 code implementation • COLING 2016 • Amir More, Reut Tsarfaty
Parsing texts into universal dependencies (UD) in realistic scenarios requires infrastructure for the morphological analysis and disambiguation (MA{\&}D) of typologically different languages as a first tier.
no code implementations • CONLL 2018 • Amit Seker, Amir More, Reut Tsarfaty
We present the contribution of the ONLP lab at the Open University of Israel to the UD shared task on multilingual parsing from raw text to Universal Dependencies.
no code implementations • CONLL 2017 • Amir More, Reut Tsarfaty
Our parser requires a lattice as input, so we generate morphological analyses of surface tokens using a data-driven morphological analyzer that derives its lexicon from the UD training corpora, and we rely on UDPipe for sentence segmentation and surface-level tokenization.
no code implementations • TACL 2019 • Amir More, Amit Seker, Victoria Basmova, Reut Tsarfaty
In standard NLP pipelines, morphological analysis and disambiguation (MA{\&}D) precedes syntactic and semantic downstream tasks.