Path: Top -> Journal -> Jurnal Nasional Teknik Elektro dan Teknologi Informasi -> 2019 -> Vol 8, No 3

Normalisasi Kata Tidak Baku yang Tidak Disingkat dengan Jarak Perubahan

Journal from gdlhub / 2019-11-18 09:38:59
Oleh : I Gusti Bagus Baskara Nugraha, Rafi Dwi Rizqullah, JNTETI
Dibuat : 2019-11-18, dengan 1 file

Keyword : voice assistant, kamus, kata tidak baku, normalisasi, jarak Levenshtein, jarak Jaro-Winkler
Url : http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/516
Sumber pengambilan dokumen : WEB

Voice assistant technology is growing rapidly and its use has begun to spread to daily use. However, voice assistant usages are still limited to standard conversation languages. Meanwhile, Indonesian people are accustomed to informal language in daily conversation. This research gives solution to overcome the problem of voice assistants with informal words or words that will not be found in formal word dictionary. We propose text normalization using Levenshtein distance. Test result shows that normalization using Levenshtein distance outperform the normalization using Longest Common Subsequence (LCS) distance with accuracy difference of 8.34%.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiJNTETI
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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