Linguistic resources for Arabic machine translation

The Linguistic Data Consortium (LDC) catalog

Ann Bies | Linguistic Data Consortium, University of Pennsylvania

Denise DiPersio | Linguistic Data Consortium, University of Pennsylvania

Mohamed Maamouri | Linguistic Data Consortium, University of Pennsylvania

In this chapter, we describe the linguistic resources particularly suitable for Arabic machine translation research and technology development that are published by the Linguistic Data Consortium (LDC). A significant number of the data sets developed by LDC are Arabic language resources, making LDC the leading source for such materials. LDC’s Arabic language resources represent all of the data types in LDC’s Catalog: speech, text, video and lexicons. Much of this data has already been used for machine translation research, as represented in this volume and throughout the field, and new datasets in the pipeline are expected to benefit machine translation work as well.

Published online: 01 August 2012
https://doi.org/10.1075/nlp.9.02bie

Cited by

Cited by 1 other publications

Shaalan, Khaled

2014. A Survey of Arabic Named Entity Recognition and Classification. Computational Linguistics 40:2 ► pp. 469 ff.

This list is based on CrossRef data as of 06 september 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.