Papers by Fatiha Sadat

3 papers
Retrieving Information from the French Lexical Network in RDF/OWL Format (L18-1)

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Challenge: a Java API to retrieve lexical information from the French Lexical Network is presented . RDF/OWL languages are not sufficient for a more detailed representation of linguistic information.
Approach: They propose a Java API to retrieve lexical information from the French Lexical Network . this API was used in the identification of collocations in a french corpus of 1.8 million sentences .
Outcome: The proposed API was used to identify collocations in a French corpus of 1.8 million sentences and in the semantic classification of these collocation.
Revitalization of Indigenous Languages through Pre-processing and Neural Machine Translation: The case of Inuktitut (2020.coling-main)

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Challenge: Indigenous languages have been considered low-resource and/or endangered . authors propose a method to revitalize the language spoken in northern canada .
Approach: They propose to revitalize the Inuktitut language through pre-processing and neural machine translation . they propose to use this technique to perform morphological analysis and neural translation tasks .
Outcome: The proposed approach improves the Inuktitut language compared to the state-of-the-art . the proposed approach is based on preprocessing and neural machine translation .
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging (N19-1)

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Challenge: Pre-trained neural networks struggle with learning uncommon target-specific patterns.
Approach: They propose to augment the target-network with normalised, weighted and randomly initialised units that beget a better adaptation while maintaining valuable source knowledge.
Outcome: The proposed method achieves state-of-the-art on 3 commonly used datasets.

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