Abstract

This paper presents three methods for dividing European Portuguese (EP) words into syllables, two of them handling graphemes as input, the other processing phone sequences. All three try to incorporate linguistic knowledge about EP syllable structure, but in different degrees. Experimental results showed, for the best method, percentage of correctly recognized syllable boundaries above 99.5 %, and comparable word accuracy. The much simpler finite state transducer based method also achieved a good performance, making it suitable for applications more interested in speed and memory footprint. Being syllabification an essential component of many speech and language processing systems, proposed methods can be useful to researchers working with the EP language.

Keywords:
Syllabification Syllable Computer science European Portuguese Natural language processing Speech recognition Component (thermodynamics) Artificial intelligence Memory footprint Word (group theory) Brazilian Portuguese Phone Portuguese Linguistics

Metrics

16
Cited By
2.30
FWCI (Field Weighted Citation Impact)
3
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology

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