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Natural language processing in ethiopian languages: Current state, challenges, and opportunities
This survey delves into the current state of natural language processing (NLP) for four
Ethiopian languages: Amharic, Afaan Oromo, Tigrinya, and Wolaytta. Through this paper, we …
Ethiopian languages: Amharic, Afaan Oromo, Tigrinya, and Wolaytta. Through this paper, we …
Parallel corpus for indigenous language translation: Spanish-mazatec and spanish-mixtec
In this paper, we present a parallel Spanish-Mazatec and Spanish-Mixtec corpus for
machine translation (MT) tasks, where Mazatec and Mixtec are two indigenous Mexican …
machine translation (MT) tasks, where Mazatec and Mixtec are two indigenous Mexican …
Transformer-Based Amharic-to-English Machine Translation with Character Embedding and Combined Regularization Techniques
Amharic is the working language of Ethiopia and, owing to its Semitic characteristics, the
language is known for its complex morphology. It is also an under-resourced language …
language is known for its complex morphology. It is also an under-resourced language …
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages
Recent research in natural language processing (NLP) has achieved impressive
performance in tasks such as machine translation (MT), news classification, and question …
performance in tasks such as machine translation (MT), news classification, and question …
Automatic Translation of Hate Speech to Non-hate Speech in Social Media Texts
In this paper, we investigate the issue of hate speech by presenting a novel task of
translating hate speech into non-hate speech text while preserving its meaning. As a case …
translating hate speech into non-hate speech text while preserving its meaning. As a case …
Reframing social media discourse: Converting hate speech to non-hate speech
In this paper, we investigate the issue of hate speech by presenting a novel task of
translating hate speech into non-hate speech text while preserving its meaning. As a case …
translating hate speech into non-hate speech text while preserving its meaning. As a case …
AmhEn: Amharic-English Large Parallel Corpus for Machine Translation
Recently, using deep neural networks for machine translation (MT) tasks has received great
attention. In order for these networks to learn abstract representations of the input and store …
attention. In order for these networks to learn abstract representations of the input and store …