no code implementations • VarDial (COLING) 2020 • Michael Gasser, Binyam Ephrem Seyoum, Nazareth Amlesom Kifle
For languages with complex morphology, word-to-word translation is a task with various potential applications, for example, in information retrieval, language instruction, and dictionary creation, as well as in machine translation.
1 code implementation • 25 Jun 2021 • Andargachew Mekonnen Gezmu, Tirufat Tesifaye Lema, Binyam Ephrem Seyoum, Andreas Nürnberger
This paper presents a manually annotated spelling error corpus for Amharic, lingua franca in Ethiopia.
no code implementations • COLING 2018 • Andargachew Mekonnen Gezmu, Binyam Ephrem Seyoum, Michael Gasser, Andreas Nürnberger
We introduced the contemporary Amharic corpus, which is automatically tagged for morpho-syntactic information.
no code implementations • WS 2020 • Solomon Teferra Abate, Martha Yifiru Tachbelie, Michael Melese, Hafte Abera, Tewodros Gebreselassie, Wondwossen Mulugeta, Yaregal Assabie, Million Meshesha Beyene, Solomon Atinafu, Binyam Ephrem Seyoum
To address this problem we have developed four medium-sized (longer than 22 hours each) speech corpora for four Ethiopian languages: Amharic, Tigrigna, Oromo, and Wolaytta.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2020 • Solomon Teferra Abate, Martha Yifiru Tachbelie, Michael Melese, Hafte Abera, Tewodros Abebe, Wondwossen Mulugeta, Yaregal Assabie, Million Meshesha, Solomon Afnafu, Binyam Ephrem Seyoum
To assess usability of the corpora for (the purpose of) speech processing, we have developed ASR systems for each language.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2020 • Binyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen
In this paper, we compare four state-of-the-art neural network dependency parsers for the Semitic language Amharic.