The Arabic Multidialectal Word Embeddings are a set of pre-trained word embeddings learned from different dialects of Arabic. Individual dialects are mapped into each other's dialectal vector spaces to enable inter-dialectal comparison. A dialect agnostic model is included as well, learned from the combined corpora of all dialects. Lastly, we include the seed and evaluation dictionaries used to perform and evaluate the mappings.
This resource was developed at the Computational Approaches to Modeling Language (CAMeL) Lab in New York University Abu Dhabi.
By downloading the Arabic Multidialectal Word Embeddings from HERE you agree to the terms of the license below.
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// License for Arabic Multidialectal Word Embeddings
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Copyright 2018 New York University Abu Dhabi. All Rights Reserved. A license to
use and copy this software, data and its documentation solely for your
internal research and evaluation purposes, without fee and without a
signed licensing agreement, is hereby granted upon your download of
the software, through which you agree to the following: 1) the above
copyright notice, this paragraph and the following three paragraphs
will prominently appear in all internal copies and modifications; 2)
no rights to sublicense or further distribute this software are
granted; 3) no rights to modify this software are granted; and 4) no
rights to assign this license are granted. Please Contact the Office
of Industrial Liaison, New York University, One Park Avenue, 6th
Floor, New York, NY 10016 (212) 263-8178, for commercial licensing
opportunities, or for further distribution, modification or license
rights.
Created by Alexander Erdmann, Nasser Zalmout, and Nizar Habash at the
Computational Approaches to Modeling Language (CAMEL) Lab in New York
University Abu Dhabi.
IN NO EVENT SHALL NYU, OR ITS EMPLOYEES, OFFICERS, AGENTS OR TRUSTEES
("COLLECTIVELY "NYU PARTIES") BE LIABLE TO ANY PARTY FOR DIRECT,
INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES OF ANY KIND ,
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UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
Please cite Erdmann et al. (2018) if you use the Arabic Multidialectal
Word Embeddings in your research.
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