This paper investigates the ability of neural network architectures to effectively learn diachronic phonological generalizations in amultilingual setting.
In order to access indigenous, regional knowledge contained in language corpora, semantic tools and network methods are most typically employed.
In a context where open-source NLP resources and tools in African languages are scarce and dispersed, it is difficult for researchers to truly fit African languages into current algorithms of artificial intelligence.
Nowadays the scarcity and dispersion of open-source NLP resources and tools in and for African languages make it difficult for researchers to truly fit these languages into current algorithms of artificial intelligence, resulting in the stagnation of these numerous languages, as far as technological progress is concerned.
At our institutes we are working with quite some dictionaries and lexical resources in the field of less-resourced language data, like dialects and historical languages.
no code implementations • • Stephan Peitz, Saab Mansour, Matthias Huck, Markus Freitag, Hermann Ney, Eunah Cho, Teresa Herrmann, Mohammed Mediani, Jan Niehues, Alex Waibel, Alex Allauzen, er, Quoc Khanh Do, Bianka Buschbeck, W, Tonio macher