On the Use of Phonotactic Vector Representations with FastText for Language Identification-Reference-Cited by-同舟云学术

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On the Use of Phonotactic Vector Representations with FastText for Language Identification

Published:2020-10-25 Issue: Volume: Page:339-348
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Romero David,Salamea Christian

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8395-7_25

Reference20 articles.

1. Ace P, Schwarz P, Ace V (2009) Phoneme recognition based on long temporal context

2. Barbaresi A (2017) Discriminating between similar languages using weighted subword features. In: Fourth workshop on NLP for similar languages, pp 184–189

3. Berkling K, Arai T, Barnard E (1994) Analysis of phoneme-based features for language identification. In: Proceedings of the international conference on acoustics, speech and signal processing. IEEE, pp 289–292

4. Bojanowski P, Grave E, Joulin A, Mikolov T (2017) Enriching word vectors with subword information. arXiv:1607.04606v2

5. Chaudhary A, Zhou C, Levin L, Neubig G, Mortensen D, Carbonell J (2018) Adapting word embeddings to new languages with morphological and phonological subword representations. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 3285–3295

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Phonotactic Language Recognition Using A Universal Phoneme Recognizer and A Transformer Architecture;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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