Amanote Research

Amanote Research

    RegisterSign In

Using Confidence and Informativeness Criteria to Improve POS-tagging in Amazigh

Journal of Intelligent and Fuzzy Systems - Netherlands
doi 10.3233/ifs-141417
Full Text
Open PDF
Abstract

Available in full text

Categories
EngineeringStatisticsProbabilityArtificial Intelligence
Date

January 1, 2015

Authors
Mohamed OutahajalaYassine BenajibaPaolo RossoLahbib Zenkouar
Publisher

IOS Press


Related search

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

International Journal of Computer Science and Information Technology
2016English

POS Tagging of Gujarati Text Using VITERBI and SVM

International Journal of Computer Applications
2019English

POS Tagging of Dialectal Arabic

2005English

Weakly Supervised POS Tagging Without Disambiguation

ACM Transactions on Asian and Low-Resource Language Information Processing
Computer Science
2018English

A Comparison of Features for POS Tagging in Kannada

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Using Subjective Confidence to Improve Metacognitive Monitoring Accuracy and Control

2012English

The Infinite HMM for Unsupervised PoS Tagging

2009English

Efforts to Improve Student’s Self Confidence Using Collaborative Learning Model

JPMI (Jurnal Pendidikan Matematika Indonesia)
2017English

Compilation of a Swiss German Dialect Corpus and Its Application to PoS Tagging

2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy