Výsledky vyhledávání

Report

Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization

Autor: Elgamal, Salman, Obeid, Ossama, Kabbani, Tameem, Inoue, Go, Habash, Nizar

The widespread absence of diacritical marks in Arabic text poses a significant challenge for Arabic natural language processing (NLP). This paper explores instances of naturally occurring diacritics, referred to as "diacritics in the wild," to unveil

Externí odkaz: http://arxiv.org/abs/2406.05760

Zobrazit plný text záznamu

Report

Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation

Autor: Alhafni, Bashar, Inoue, Go, Khairallah, Christian, Habash, Nizar

Grammatical error correction (GEC) is a well-explored problem in English with many existing models and datasets. However, research on GEC in morphologically rich languages has been limited due to challenges such as data scarcity and language complexi

Externí odkaz: http://arxiv.org/abs/2305.14734

Zobrazit plný text záznamu

Report

Camelira: An Arabic Multi-Dialect Morphological Disambiguator

Autor: Obeid, Ossama, Inoue, Go, Habash, Nizar

We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine. Camelira offers a user-friendly web interface that allows resear

Externí odkaz: http://arxiv.org/abs/2211.16807

Zobrazit plný text záznamu

Report

Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects

Autor: Inoue, Go, Khalifa, Salam, Habash, Nizar

We present state-of-the-art results on morphosyntactic tagging across different varieties of Arabic using fine-tuned pre-trained transformer language models. Our models consistently outperform existing systems in Modern Standard Arabic and all the Ar

Externí odkaz: http://arxiv.org/abs/2110.06852

Zobrazit plný text záznamu

Akademický článek

Enhancement of mineral density and mechanical properties in root caries treated with silver diammine fluoride and glass ionomer cement, with emphasis on silver ion distribution

Autor: Chen, Xuefei, Inoue, Go, Fan, Lin, Sekizawa, Oki, Nitta, Kiyofumi, Ikeda, Masaomi, Shimada, Yasushi

Publikováno v: In Journal of Dentistry July 2024 146

Zobrazit plný text záznamu

Report

The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models

Autor: Inoue, Go, Alhafni, Bashar, Baimukan, Nurpeiis, Bouamor, Houda, Habash, Nizar

In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models. To do so, we build three pre-trained language models across three variants of Arabic: Modern Standard Arabic (MS

Externí odkaz: http://arxiv.org/abs/2103.06678

Zobrazit plný text záznamu