Implementing Conditional Random Fields on English Text Grammar Analysis
DOI:
https://doi.org/10.56988/chiprof.v4i2.81Keywords:
Analysis, Conditional Random fields, English Language, Grammar, Part of speech taggingAbstract
This study explores the implementaion of the Conditional Random Fields (CRF) algorithm in the grammatical analysis of English texts, specifically in the task of Part of Speech (POS) tagging. CRF is a statistical model effective in classifying words into grammatical categories such as nouns, verbs, adjectives, and others. The research methodology includes a literature review and experimental implementation using labeled datasets, integrated into a web-based application. The implementation results demonstrate that the CRF model provides accurate tagging results and can be utilized for sentence structure analysis in English texts. The application is developed using the Python programming language, supported by the NLTK and sklearn-crfsuite libraries, and uses the Flask framework for the user interface. This research is expected to contribute to the development of technology-based tools for English language learning.
Downloads
References
N. Syafitri, F. Annisa, E. Purnomo, M. Lutfi, S. Suhairi, and J. Manajemen, “PENGGUNAAN BAHASA INGGRIS SEBAGAI STRATEGI KOMUNIKASI GLOBAL DALAM INDUSTRI PARIWISATA,” Jurnal Ilmiah PGSD FKIP Universitas Mandiri, vol. 9, pp. 1–12, Dec. 2023.
A. Murti and A. D. A. Kusuma, “Kecakapan Berbahasa Inggris Serta Keterlibatan Masyarakat Dalam Pengembangan Desa Ekowisata Pancoh,” Khasanah Ilmu - Jurnal Pariwisata Dan Budaya, vol. 14, no. 1, pp. 21–29, Apr. 2023, doi: 10.31294/khi.v14i1.15305.
I. Gusti, A. Agung, and D. Susanthi, “KENDALA DALAM BELAJAR BAHASA INGGRIS DAN CARA MENGATASINYA,” Linguistic Community Service Journal │, vol. 1, no. 2, pp. 1–7, 2021, doi: 10.22225/licosjournal.v1i2.2658.
M. Ali, M. Khan, and Y. Alharbi, “A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features,” PeerJ Comput Sci, vol. 10, 2024, doi: 10.7717/peerj-cs.2577.
Y. Wang, “The application effect of the Rasch measurement model combined with the CRF model: An analysis based on English discourse,” PLoS One, vol. 19, no. 8, Aug. 2024, doi: 10.1371/journal.pone.0309001.
C. Intelligence and Neuroscience, “Retracted: English Grammar Detection Based on LSTM‐CRF Machine Learning Model,” Comput Intell Neurosci, vol. 2023, no. 1, Jan. 2023, doi: 10.1155/2023/9818431.
R. Wang, “An Automatic Error Detection Method for Engineering English Translation Based on the Deep Learning Model,” Math Probl Eng, vol. 2022, 2022, doi: 10.1155/2022/9918654.
R. Takhanov and V. Kolmogorov, “Combining pattern-based CRFs and weighted context-free grammars,” Intelligent Data Analysis, vol. 26, no. 1, pp. 257–272, 2022, doi: 10.3233/IDA-205623.
J. Awwalu, S. E.-Y. Abdullahi, and A. E. Evwiekpaefe, “PARTS OF SPEECH TAGGING: A REVIEW OF TECHNIQUES,” FUDMA JOURNAL OF SCIENCES, vol. 4, no. 2, pp. 712–721, Oct. 2020, doi: 10.33003/fjs-2020-0402-325.
K. S. M. Anbananthen, J. K. Krishnan, Mohd. S. Sayeed, and P. Muniapan, “Comparison of Stochastic and Rule-Based POS Tagging on Malay Online Text,” Am J Appl Sci, vol. 14, no. 9, pp. 843–851, Sep. 2017, doi: 10.3844/ajassp.2017.843.851.
D. Jurafsky and J. H. Martin, “Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models Third Edition draft Summary of Contents,” Colorado, Jan. 2024.
T. Sutabri, A. Suryatno, D. Setiadi, and E. S. Negara, “Improving Naïve Bayes in Sentiment Analysis For Hotel Industry in Indonesia,” in 2018 Third International Conference on Informatics and Computing (ICIC), 2018, pp. 1–6. doi: 10.1109/IAC.2018.8780444.
T. Sutabri and C. Adi Putra, “_White+Blood+Cell+Classification+Using+SMOTE-SVM+Method+with+,” Jan. 2025.
Tata Sutabri, Analisis Sistem Informasi, 1st ed., vol. 1. Yogyakarta: ANDI OFFSET, 2012. Accessed: Dec. 03, 2024. [Online]. Available: https://books.google.co.id/books?id=ro5eDwAAQBAJ&printsec=copyright#v=onepage&q&f=false
F. Ahmad and T. Sutabri, “Implementasi Metode Task Based Language Learning untuk Meningkatkan Kompetensi Bahasa Inggris Berbasis Android,” Palembang, 2024.
F. Ahmad, N. Sari, and T. Sutabri, “Pengembangan Sistem Informasi E-Permit Menggunakan Metode Rapid Application Development Pada Polsek Semendawai Suku III,” 2024.
D. Chopra, N. Joshi, and I. Mathur, Mastering Natural Language Processing With Python. 2016.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fadhil Ahmad, Tata Sutabri
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
