Results 1 to 10 of about 63,855 (326)

Genetic approach for arabic part of speech tagging

International Journal on Natural Language Computing, 2013
With the growing number of textual resources available, the ability to understand them becomes critical. An essential first step in understanding these sources is the ability to identify the part of speech in each sentence.
Ali, Bilel Ben, Jarray, Fethi
core   +3 more sources

Improving part-of-speech tagging in Amharic language using deep neural network. [PDF]

Heliyon, 2023
To date, several POS taggers have been introduced to facilitate the success of semantic analysis for different languages. However, the task of POS tagging becomes a bit intricate in morphologically complex languages, like Amharic.
Hirpassa S, Lehal GS.
europepmc   +2 more sources

Methods for Amharic part-of-speech tagging [PDF]

Proceedings of the First Workshop on Language Technologies for African Languages - AfLaT '09, 2009
The paper describes a set of experiments involving the application of three state-of- the-art part-of-speech taggers to Ethiopian Amharic, using three different tagsets.
Argaw, Atelach Alemu, Asker, Lars, Gambäck, Björn, Olsson, Fredrik   +3 more
core   +6 more sources

Setswana Part of Speech Tagging

International Journal on Natural Language Computing, 2017
Part of speech tagging is one of the basic steps in natural language processing. Although it has been investigated for many languages around the world, very little has been done for Setswana language. Setswana language is written disjunctively and some words play multiple functions in a sentence.
Gabofetswe Malema, Boago Okgetheng, Moffat Motlhanka   +2 more
openaire   +2 more sources

Hidden Markov Model Based Part of Speech Tagger for Sinhala Language

, 2014
In this paper we present a fundamental lexical semantics of Sinhala language and a Hidden Markov Model (HMM) based Part of Speech (POS) Tagger for Sinhala language.
Dias, N. G. J., Jayaweera, A. J. P. M. P.   +1 more
core   +2 more sources

Part of Speech Tagging: Shallow or Deep Learning?

Northern European Journal of Language Technology, 2018
Deep neural networks have advanced the state of the art in numerous fields, but they generally suffer from low computational efficiency and the level of improvement compared to more efficient machine learning models is not always significant. We perform
Robert Östling
doaj   +4 more sources

A Comprehensive Part-of-Speech Tagging to Standardize Central-Kurdish Language: A Research Guide for Kurdish Natural Language Processing Tasks [PDF]

Journal of Studies in Science and Engineering
The field of natural language processing (NLP) has undergone significant expansion over the last decade. Many human-being applications are conducted daily via NLP tasks, starting from machine translation, speech recognition, text generation and ...
Shadan Shukr Sabr, Nazira Sabr Mustafa, Talar Sabah Omar, Salah H. Rasool, Nawzad A. Omer, Darya Sabir Hamad, Hemin Abdulhameed Shams, Omer Mahmood Kareem, Rozhan Noori Abdullah, Khabat Atar Abdullah, Mahabad Azad Mohammed, Haneen Al-Raghefy, Safar M. Asaad, Sara Jamal Mohammed, Twana Saeed Ali, Fazil Shawrow, Halgurd S. Maghdid   +16 more
doaj   +2 more sources

Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches

Journal of Artificial Intelligence Research, 2009
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The central assumption of our work is that by combining cues from multiple languages, the structure of each becomes more apparent. We consider two ways of applying this intuition to the problem of unsupervised part-of-speech tagging: a model that directly
Naseem, Tahira, Snyder, Benjamin, Eisenstein, Jacob, Barzilay, Regina   +3 more
openaire   +5 more sources

Part of Speech Tagging of Zhuang Language Based on Reinforcement Learning [PDF]

Jisuanji gongcheng, 2020
Currently,intelligent information processing of the Zhuang language is in its fancy and lacks automatic tagging methods for parts of speech.To address the lack of Zhuang corpus,arduousness of manual tagging,and poor performance of machine tagging,this ...
TANG Suqin, SUN Yaru, LI Zhixin, ZHANG Canlong
doaj   +1 more source

Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi

Jurnal Teknologi Informasi dan Ilmu Komputer, 2021
Bahasa manusia adalah bahasa yang digunakan oleh manusia dalam bentuk tulisan maupun suara. Banyak teknologi/aplikasi yang mengolah bahasa manusia, bidang tersebut bernama Natural Language Processing yang merupakan ilmu yang mempelajari untuk mengolah ...
Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho   +2 more
doaj   +1 more source