Linguistic resources for Arabic machine translation
The Linguistic Data Consortium (LDC) catalog
Ann Bies | 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.
Cited by (3)
Cited by three other publications
Rateb, Muhammad Nabil & Sameh Alansary
2022.
2022 20th International Conference on Language Engineering (ESOLEC),
► pp. 158 ff.
Bounhas, Ibrahim
2019.
On the Usage of a Classical Arabic Corpus as a Language Resource.
ACM Transactions on Asian and Low-Resource Language Information Processing 18:3
► pp. 1 ff.
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 25 october 2024. 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.