Konversi Kata Bahasa Arab Aktif ke Pasif dan Identifikasi MSD dengan Metode RNN (Active-to-Passive Arabic Word Conversion and MSD Identification using RNN)
KHALISYAHDINI
Informasi Umum
Kode
23.04.1083
Klasifikasi
006.35 - Natural Language Processing, Computer Science
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Natural Language Processing, Natural Science,
Dilihat
291 kali
Informasi Lainnya
Abstraksi
<p>This paper presents Arabic Natural Language Processing (ANLP), a novel method of morphological analysis. The paper proposes the expansion of language resources in the Islamic field (Islamic computation resources), so it can be accessed and merged with other Islamic computation research to be more comprehensive. In previous studies, one of which was the Jabalin System, the system still produced less accurate morphological descriptions (MSD). This research aims to identify passive Arabic words’ MSD using a neural-based classifier. The paper offers a solution to formulate and implement a morphological analysis of verses of Al-Quran. The change of active voice Arabic to passive voice Arabic using a rule-based algorithm and identifying MSD of a word using a neural-based classifier. The input of this system is active Arabic words, and the output is passive Arabic words with their MSD. This paper shows 90.78% accuracy and 92.61% F1-score using the vanilla RNN method.</p>
- CII4G3 - PEMROSESAN BAHASA ALAMI
Koleksi & Sirkulasi
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Pengarang
| Nama | KHALISYAHDINI |
| Jenis | Perorangan |
| Penyunting | Kemas Muslim Lhaksmana, Moch Arif Bijaksana |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
