Search Results for author: Esk

Found 25 papers, 0 papers with code

MATERIALizing Cross-Language Information Retrieval: A Snapshot

no code implementations LREC 2020 Petra Galuscakova, Douglas Oard, Joe Barrow, Suraj Nair, Shing Han-Chin, Elena Zotkina, Esk, Ramy er, Rui Zhang

At about the midpoint of the IARPA MATERIAL program in October 2019, an evaluation was conducted on systems{'} abilities to find Lithuanian documents based on English queries.

Information Retrieval Retrieval

MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation

no code implementations LREC 2020 Esk, Ramy er, Francesca Callejas, Elizabeth Nichols, Judith Klavans, Smar Muresan, a

Computational morphological segmentation has been an active research topic for decades as it is beneficial for many natural language processing tasks.


Unsupervised Morphological Segmentation for Low-Resource Polysynthetic Languages

no code implementations WS 2019 Esk, Ramy er, Judith Klavans, Smar Muresan, a

Polysynthetic languages pose a challenge for morphological analysis due to the root-morpheme complexity and to the word class {``}squish{''}.

Morphological Analysis

Automatically Tailoring Unsupervised Morphological Segmentation to the Language

no code implementations WS 2018 Esk, Ramy er, Owen Rambow, Smar Muresan, a

Morphological segmentation is beneficial for several natural language processing tasks dealing with large vocabularies.

Machine Translation Segmentation +1

Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine

no code implementations COLING 2016 Esk, Ramy er, Nizar Habash, Owen Rambow, Arfath Pasha

Arabic dialects present a special problem for natural language processing because there are few resources, they have no standard orthography, and have not been studied much.

Morphological Analysis

MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

no code implementations LREC 2014 Arfath Pasha, Mohamed Al-Badrashiny, Mona Diab, Ahmed El Kholy, Esk, Ramy er, Nizar Habash, Manoj Pooleery, Owen Rambow, Ryan Roth

In this paper, we present MADAMIRA, a system for morphological analysis and disambiguation of Arabic that combines some of the best aspects of two previously commonly used systems for Arabic processing, MADA (Habash and Rambow, 2005; Habash et al., 2009; Habash et al., 2013) and AMIRA (Diab et al., 2007).

Chunking Lemmatization +5

Developing an Egyptian Arabic Treebank: Impact of Dialectal Morphology on Annotation and Tool Development

no code implementations LREC 2014 Mohamed Maamouri, Ann Bies, Seth Kulick, Michael Ciul, Nizar Habash, Esk, Ramy er

This paper describes the parallel development of an Egyptian Arabic Treebank and a morphological analyzer for Egyptian Arabic (CALIMA).

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