Search Results for author: Amir More

Found 5 papers, 1 papers with code

Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task

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.

Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task

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.

Sentence segmentation Word Embeddings

Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal Dependencies

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.

Morphological Analysis TAG

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