Papers by Amal Fethi
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell (2020.acl-main)
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Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Javier Ortiz Suárez, Benoît Sagot, Abhishek Srivastava
| Challenge: | a treebank for a north-African Arabic dialect known for code-switching is made freely available . authors: geopolitical events are a factor highlighting a language deficiency in terms of natural language processing resources . |
| Approach: | They propose to make a treebank for a romanized user-generated content variety of Algerian . they supplement it with 50k unlabeled sentences from common crawl and web-crawled data . |
| Outcome: | The proposed treebank is made of 1500 sentences, fully annotated in morpho-syntax and universal dependency syntax, with full translation at both the word and sentence levels. |