In this paper we present the first full morphological analysis and disambiguation system for Gulf Arabic. We use an existing state-of-the-art morphological disambiguation system to investigate the effects of different data sizes and different combinations of morphological analyzers for Modern Standard Arabic, Egyptian Arabic, and Gulf Arabic. We find that in very low settings, morphological analyzers help boost the performance of the full morphological disambiguation task. However, as the size of resources increase, the value of the morphological analyzers decreases.
|Original language||English (US)|
|Title of host publication||LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings|
|Publisher||European Language Resources Association (ELRA)|
|Number of pages||10|
|State||Published - 2020|
|Name||LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings|
- Gulf Arabic