Optimising a Language Recognition System Through Phoneme-Based Vector Representation



Document title: Optimising a Language Recognition System Through Phoneme-Based Vector Representation
Journal: Latin-American Journal of Computing (LAJC)
Database:
System number: 000565094
ISSN: 1390-9134
Authors: 1
1
1
1
Institutions: 1Escuela Politécnica Nacional,
Year:
Volumen: 4
Number: 3
Pages: 49-54
Country: Ecuador
Language: Inglés
English abstract This article analyzes vector representation of phonemes as an alternative to improve a language identification system (LID). CBOW (Continuous Bag-of-Words) and Skip-gram architectures proposed by Mikolov are studied. These models allow predicting words within a context by generating n-dimensional vectors. In this work we will analyze the application of these models in smaller phonetic units or n-grams.
Keyword: embeddings.,
n-grams,
Skip-gram,
Language Recognition,
Vector Representation
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