Part-of-speech tagging using decision trees

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026668 ◽

1998 ◽

pp. 25-36 ◽

Cited By ~ 17

Author(s):

Lluís Màrquez ◽

Horacio Rodríguez

Keyword(s):

Decision Trees ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

Amazigh Part-of-Speech Tagging Using Markov Models and Decision Trees

International Journal of Computer Science and Information Technology ◽

10.5121/ijcsit.2016.8505 ◽

2016 ◽

Vol 8 (5) ◽

pp. 61-71 ◽

Cited By ~ 3

Author(s):

Samir AMRI ◽

Lahbib ZENKOUAR ◽

Mohamed OUTAHAJALA

Keyword(s):

Decision Trees ◽

Markov Models ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

Lexical Rule and Lexicon Effect for Part of Speech Tagging Bahasa Madura

Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer ◽

10.30812/matrik.v18i1.332 ◽

2018 ◽

Vol 18 (1) ◽

pp. 65-72

Author(s):

Nindian Puspa Dewi ◽

Ubaidi Ubaidi

Keyword(s):

Text Processing ◽

Part Of Speech Tagging ◽

Pos Tagging ◽

Part Of Speech ◽

Speech Tagging ◽

Bahasa Indonesia

POS Tagging adalah dasar untuk pengembangan Text Processing suatu bahasa. Dalam penelitian ini kita meneliti pengaruh penggunaan lexicon dan perubahan morfologi kata dalam penentuan tagset yang tepat untuk suatu kata. Aturan dengan pendekatan morfologi kata seperti awalan, akhiran, dan sisipan biasa disebut sebagai lexical rule. Penelitian ini menerapkan lexical rule hasil learner dengan menggunakan algoritma Brill Tagger. Bahasa Madura adalah bahasa daerah yang digunakan di Pulau Madura dan beberapa pulau lainnya di Jawa Timur. Objek penelitian ini menggunakan Bahasa Madura yang memiliki banyak sekali variasi afiksasi dibandingkan dengan Bahasa Indonesia. Pada penelitian ini, lexicon selain digunakan untuk pencarian kata dasar Bahasa Madura juga digunakan sebagai salah satu tahap pemberian POS Tagging. Hasil ujicoba dengan menggunakan lexicon mencapai akurasi yaitu 86.61% sedangkan jika tidak menggunakan lexicon hanya mencapai akurasi 28.95 %. Dari sini dapat disimpulkan bahwa ternyata lexicon sangat berpengaruh terhadap POS Tagging.

Mongolian part-of-speech tagging approach based on conditional random fields

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.02038 ◽

2010 ◽

Vol 30 (8) ◽

pp. 2038-2040

Author(s):

Yu-long YING ◽

Miao LI ◽

bala Wuda ◽

Hai ZHU

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach

Procedia Computer Science ◽

10.1016/j.procs.2021.03.026 ◽

2021 ◽

Vol 184 ◽

pp. 148-155

Author(s):

Abdul Munem Nerabie ◽

Manar AlKhatib ◽

Sujith Samuel Mathew ◽

May El Barachi ◽

Farhad Oroumchian

Keyword(s):

Deep Learning ◽

Sentiment Analysis ◽

Learning Approach ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

The Impact ◽

Speech Tagging

Part-of-speech tagging for web search queries using a large-scale web corpus

Proceedings of the Symposium on Applied Computing - SAC '17 ◽

10.1145/3019612.3019694 ◽

2017 ◽

Cited By ~ 1

Author(s):

Atsushi Keyaki ◽

Jun Miyazaki

Keyword(s):

Large Scale ◽

Web Search ◽

Search Queries ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

Korean Part-of-speech Tagging Based on Morpheme Generation

ACM Transactions on Asian and Low-Resource Language Information Processing ◽

10.1145/3373608 ◽

2020 ◽

Vol 19 (3) ◽

pp. 1-10

Author(s):

Hyun-Je Song ◽

Seong-Bae Park

Keyword(s):

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

Amazigh Part Of Speech Tagging using Gated recurrent units (GRU)

2021 7th International Conference on Optimization and Applications (ICOA) ◽

10.1109/icoa51614.2021.9442662 ◽

2021 ◽

Author(s):

MAAROUF Otman ◽

EL AYACHI Rachid ◽

BINIZ Mohamed

Keyword(s):

Part Of Speech Tagging ◽

Part Of Speech ◽

Gated Recurrent Units ◽

Speech Tagging

Part-Of-Speech Tagging in French: State-of-the-Art and Obstacles

2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS) ◽

10.1109/snams52053.2020.9336546 ◽

2020 ◽

Author(s):

Edouard Ngor Sarr ◽

Ousmane Sall ◽

Lamine Faty

Keyword(s):

State Of The Art ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese

Journal of the Brazilian Computer Society ◽

10.1186/s13173-014-0020-x ◽

2015 ◽

Vol 21 (1) ◽

Cited By ~ 16

Author(s):

Erick R Fonseca ◽

João Luís G Rosa ◽

Sandra Maria Aluísio

Keyword(s):

Word Embeddings ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

Phrase-based Part-of-Speech Tagging

2007 International Conference on Natural Language Processing and Knowledge Engineering ◽

10.1109/nlpke.2007.4368036 ◽

2007 ◽

Cited By ~ 3

Author(s):

Andrew Finch ◽

Eiichiro Sumita

Keyword(s):

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging