A Deep Level Tagger for Malayalam, a Morphologically Rich Language
In recent years, there has been tremendous growth in the amount of natural language text through various sources. Computational analysis of this text has got considerable attention among the NLP researchers. Automatic analysis and representation of natural language text is a step by step procedure....
Enregistré dans:
Auteurs principaux: | Ajees A. P., Abrar K. J., Sumam Mary Idicula, Sreenathan M. |
---|---|
Format: | article |
Langue: | EN |
Publié: |
De Gruyter
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f61e744ccf2e40b39a6d767b95fb0e60 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand
par: Safeena Nazeer, et autres
Publié: (2021) -
Hyperbolic Feature-based Sarcasm Detection in Telugu Conversation Sentences
par: Bharti Santosh Kumar, et autres
Publié: (2020) -
Toward rainfall prediction by machine learning in Perfume River Basin, Thua Thien Hue Province, Vietnam
par: Giang Nguyen Hong, et autres
Publié: (2021) -
An Interpretable Machine Learning Model for Daily Global Solar Radiation Prediction
par: Mohamed Chaibi, et autres
Publié: (2021) -
MAPSOFT: A Multi-Agent based Particle Swarm Optimization Framework for Travelling Salesman Problem
par: Blamah Nachamada Vachaku, et autres
Publié: (2020)