Search Results for author: Go Inoue

Found 7 papers, 3 papers with code

The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic

no code implementations LREC 2022 Dana Abdulrahim, Go Inoue, Latifa Shamsan, Salam Khalifa, Nizar Habash

Our objective is to create a specialized corpus of the Bahraini Arabic dialect, which includes written texts as well as transcripts of audio files, belonging to a different genre (folktales, comedy shows, plays, cooking shows, etc.).

Camelira: An Arabic Multi-Dialect Morphological Disambiguator

no code implementations30 Nov 2022 Ossama Obeid, Go Inoue, Nizar Habash

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.

Dialect Identification Morphological Disambiguation

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

1 code implementation Findings (ACL) 2022 Go Inoue, Salam Khalifa, Nizar Habash

We present state-of-the-art results on morphosyntactic tagging across different varieties of Arabic using fine-tuned pre-trained transformer language models.

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

1 code implementation EACL (WANLP) 2021 Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, Houda Bouamor, Nizar Habash

In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models.

Language Modelling

Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information

no code implementations CONLL 2017 Go Inoue, Hiroyuki Shindo, Yuji Matsumoto

One reason for this is that in the tagging scheme for such languages, a complete POS tag is formed by combining tags from multiple tag sets defined for each morphosyntactic category.

Multi-Task Learning Part-Of-Speech Tagging +3

Cannot find the paper you are looking for? You can Submit a new open access paper.