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Found 9 papers, 1 papers with code
Exploiting Dialect Identification in Automatic Dialectal Text Normalization
This, combined with the inherent noise in user-generated content on social media, presents a major challenge to NLP applications dealing with Dialectal Arabic.
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus
We present ZAEBUC-Spoken, a multilingual multidialectal Arabic-English speech corpus.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching
Although multilingual language models exhibit impressive cross-lingual transfer capabilities on unseen languages, the performance on downstream tasks is impacted when there is a script disparity with the languages used in the multilingual model's pre-training data.
A Spelling Correction Corpus for Multiple Arabic Dialects
In this paper, we present the MADAR CODA Corpus, a collection of 10, 000 sentences from five Arabic city dialects (Beirut, Cairo, Doha, Rabat, and Tunis) represented in the Conventional Orthography for Dialectal Arabic (CODA) in parallel with their raw original form.
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
An Arabic Morphological Analyzer and Generator with Copious Features
We introduce CALIMA-Star, a very rich Arabic morphological analyzer and generator that provides functional and form-based morphological features as well as built-in tokenization, phonological representation, lexical rationality and much more.
