Part-of-speech tagging for Arabic tweets using CRF and Bi-LSTM-Reference-Cited by-同舟云学术

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Part-of-speech tagging for Arabic tweets using CRF and Bi-LSTM

Published:2021-01 Issue: Volume:65 Page:101138
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

AlKhwiter Wasan,Al-Twairesh Nora

Funder

King Saud University

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference32 articles.

1. A Supervised POS Tagger for Written Arabic Social Networking Corpora;Al-Sabbagh,2012

2. Arabic Spam Detection in Twitter;Al-Twairesh,2016

3. Developing a Competitive HMM Arabic POS Tagger Using Small Training Corpora;Albared,2011

4. Towards POS Tagging for Arabic Tweets;Albogamy,2015

5. Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping;Albogamy,2016

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1. The Najdi Arabic Corpus: a new corpus for an underrepresented Arabic dialect;Language Resources and Evaluation;2024-07-02

2. Part-of-speech Tagging for Low-resource Languages: Activation Function for Deep Learning Network to Work with Minimal Training Data;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-05-10

3. An effective approach for identifying keywords as high-quality filters to get emergency-implicated Twitter Spanish data;Computer Speech & Language;2024-03

4. An Adaptive Harmony Search Part-of-Speech tagger for Square Hmong Corpus;Baghdad Science Journal;2024-02-25

5. Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection;Applied Sciences;2024-01-26

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