Results 151 to 160 of about 1,815 (193)

Parsing Arabic Dialects

2006
The Arabic language is a collection of spoken dialects with important phonological, morphological, lexical, and syntactic differences, along with a standard written language, Modern Standard Arabic (MSA). Since the spoken dialects are not officially written, it is very costly to obtain adequate corpora to use for training dialect NLP tools such as ...
David Chiang 0001   +4 more
  +6 more sources

On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets

Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), 2022
El árabe es uno de los idiomas más ricos del mundo, con una amplia gama de dialectos basados en el origen geográfico. En este documento, presentamos una solución para abordar la subtarea 1 (Identificación de dialectos a nivel de país) de la tarea compartida de Identificación de dialectos árabes matizados (NADI) 2022, logrando el tercer lugar con una ...
Salma Jamal   +3 more
openaire   +1 more source

“Seven of the Arab Dialects”

2020
This chapter focuses on the task President Jefferson assigned Robert Patterson, i.e., to find a translator for two Arabic manuscripts written by Muslim slaves. Over a few days in late October 1807, Patterson consulted with three of the most remarkable figures he could find in Philadelphia, a triad that represented diplomacy, trade, and academia.
openaire   +1 more source

Approaches to Arabic Dialects

2003
XIV + 399 p.
Haak, M. van den   +2 more
openaire   +3 more sources

Dialectic and Arabic Philosophy

2020
The Arabic Aristotelian philosopher’s views on jadal are available in their commentaries and paraphrases on Aristotle‘s Topics. This book was known under three titles; Ṭūbīqā, Kitāb al-Mawāḍiʽ (literally a translation of Greek topika, places) and Kitāb al-Jadal.
openaire   +1 more source

Spoken Arabic Algerian dialect identification

2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP), 2018
Dialect identification is a challenging task and this becomes more complicated when dealing with under-resourced dialects. In this paper, we propose a system based on prosodic speech information, namely intonation and rhythm for identification of Intra-country dialects.
Soumia Bougrine   +2 more
openaire   +1 more source

Diacritics restoration for Arabic dialect texts

Interspeech 2013, 2013
In this paper we present a statistical approach for automatic diacritization of Algiers dialectal texts. This approach is based on statistical machine translation. We first investigate this approach on Modern Standard Arabic (MSA) texts using several data sources and extrapolated the results on available dialectal texts. For evaluation we used word and
Salima Harrat   +3 more
openaire   +1 more source

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