Published November 1, 2017 | Version v1
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Optimising a Language Recognition System Through Phoneme-Based Vector Representation

  • 1. Escuela Politécnica Nacional

Description

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.

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Optimising a Language Recognition System Through Phoneme-Based Vector Representation.pdf

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Journal article: https://lajc.epn.edu.ec/index.php/LAJC/article/view/130 (URL)