Optimising a Language Recognition System Through Phoneme-Based Vector Representation

  • Francisco Charro Escuela Politécnica Nacional
  • Marco Herrera Escuela Politécnica Nacional
  • Nataly Pozo Escuela Politécnica Nacional
  • Andrés Rosales Escuela Politécnica Nacional
Keywords: Vector Representation, Language Recognition, Skip-gram, n-grams, embeddings.

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.

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Author Biography

Francisco Charro, Escuela Politécnica Nacional

 

 

References

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Cover Vol 4, No 3 (2017) - SPECIAL ISSUE
Published
2017-11-01
How to Cite
[1]
F. Charro, M. Herrera, N. Pozo, and A. Rosales, “Optimising a Language Recognition System Through Phoneme-Based Vector Representation”, LAJC, vol. 4, no. 3, pp. 49-54, Nov. 2017.
Issue
Vol 4 No 3 (2017): SPECIAL ISSUE
Section
Research Articles for the Regular Issue

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