Parallel Yoruba-English Prompts for Translation

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natural language processing

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dataset

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Muh

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English-Twi Parallel Corpus for Machine Translation

We present a parallel machine translation training corpus for English and Akuapem Twi of 25,421 sentence pairs. We used a transformer-based translator to generate initial translations in Akuapem Twi, which were later verified and corrected where necessary by native

Extended Parallel Corpus for Amharic-English Machine Translation

This paper describes the acquisition, preprocessing, segmentation, and alignment of an Amharic-English parallel corpus. It will be helpful for machine translation of a low-resource language, Amharic. We freely released the corpus for research purposes. Furthermore,

Parallel Corpora Preparation for English-Amharic Machine Translation

In this paper, we describe the development of an English-Amharic parallel corpus and Machine Translation (MT) experiments conducted on it. Two different tests have been achieved. Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) experiments

Amharic-English Parallel Corpus for Neural Machine Translation

Amharic is the working language of Ethiopia and, owing to its Semitic characteristics, the language

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 them as continuous vectors, they need a lot of data. However, very few researc

AmEn: Amharic-English Large Parallel Corpus for Machine Translation

Recently, using deep neural networks for machine translation (MT) tasks has received great attention

Parallel Yoruba-English Prompts for Translation

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