Pengolahan Bahasa Alami

Pengolahan Bahasa Alami – Natural Language Processing
Deskripsi Mata Kuliah – Course Description:
Pada mata kuliah ini dipelajari metode-metode pemrosesan bahasa secara otomatis, meliputi level: leksikal, sintaktik, dan semantik. Pendekatan yang dibahas berfokus pada metode berbasis pembelajaran mesin, termasuk deep learning. Pada akhir perkuliahan dibahas aplikasi NLP populer sebagai aplikasi materi yang telah dipelajari
sebelumnya.

In this course, students will learn about language processing on lexical, syntactic, and semantic levels. The approach discussed focuses on machine learning based methods, including deep learning. At the end of the lecture, the popular NLP applications will be discussed as the implementation of material studied before.

Pustaka – Bibliography:
Utama:
1. Jurafsky, D., & Martin, J. H. (2019). Speech and Language Processing (3rd
(draft) ed.).
Pendukung:
1. Manning, C. D., Manning, C. D., & Schütze, H. (1999). Foundations of
statistical natural language processing. MIT press.
2. Goldberg, Y. (2017). Neural Network Methods for Natural Language
Processing. Morgan & Claypool.