TY - GEN
T1 - A Functional NLP System for Twi (Akan) Using Limited Data
AU - Sasu, David
AU - Asamoah Owusu, Dennis
N1 - 2/5-23: godkendt af DS uden OA da publikation er fra 2019 og ikke længere tæller i OA opgørelse
PY - 2019
Y1 - 2019
N2 - Natural Language Processing (NLP) continues to advance. How- ever, native Ghanaian languages like many other languages in the world remain untouched. Limited availability of annotated data in these languages is, perhaps, the primary limiting factor. This work explores the development of a useful and practical NLP system for Twi, a native Ghanaian language, under the constraint of limited data. The result is a system developed using only 4.65 minutes of annotated speech data that allows searching for selected Twi songs by saying the song title in Twi.
AB - Natural Language Processing (NLP) continues to advance. How- ever, native Ghanaian languages like many other languages in the world remain untouched. Limited availability of annotated data in these languages is, perhaps, the primary limiting factor. This work explores the development of a useful and practical NLP system for Twi, a native Ghanaian language, under the constraint of limited data. The result is a system developed using only 4.65 minutes of annotated speech data that allows searching for selected Twi songs by saying the song title in Twi.
KW - Natural Language Processing
KW - Machine Learning
KW - Natural Language Processing
KW - Machine Learning
M3 - Conference article
SN - 4503-9999
JO - ACM SIGCAS Conference on Computing and Sustainable Societies
JF - ACM SIGCAS Conference on Computing and Sustainable Societies
ER -