A Persian medical question answering system
A question answering system is a type of information retrieval that takes a question from a
user in natural language as the input and returns the best answer to it as the output. In this …
user in natural language as the input and returns the best answer to it as the output. In this …
Deep neural network architecture for part-of-speech tagging for turkish language
CA Bahcevan, E Kutlu, T Yildiz - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Parts of Speech (POS) tagging is one of the most well-studied problems in the field of
Natural Language Processing (NLP). In this paper, a Neural Network Language Models …
Natural Language Processing (NLP). In this paper, a Neural Network Language Models …
Morphosyntactic corpora and tools for Persian
M Seraji - 2015 - diva-portal.org
Abstract Seraji, M. 2015. Morphosyntactic Corpora and Tools for Persian. Studia Linguistica
Upsaliensia 16. 191 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9229-8 …
Upsaliensia 16. 191 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9229-8 …
A basic language resource kit for Persian
Abstract Persian with its about 100,000,000 speakers in the world belongs to the group of
languages with less developed linguistically annotated resources and tools. The few …
languages with less developed linguistically annotated resources and tools. The few …
Feature extraction in opinion mining through Persian reviews
E Golpar-Rabooki, S Zarghamifar… - Journal of AI and Data …, 2015 - jad.shahroodut.ac.ir
Opinion mining deals with an analysis of user reviews for extracting their opinions,
sentiments and demands in a specific area, which can play an important role in making …
sentiments and demands in a specific area, which can play an important role in making …
Boosting neural POS tagger for Farsi using morphological information
Farsi (Persian) is a low-resource language that suffers from the data sparsity problem and a
lack of efficient processing tools. Due to their broad application in natural language …
lack of efficient processing tools. Due to their broad application in natural language …
Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad
AR Meymandi, Z Hosseini, S Davari, A Moshiri… - arXiv preprint arXiv …, 2024 - arxiv.org
This study explores the integration of advanced Natural Language Processing (NLP) and
Artificial Intelligence (AI) techniques to analyze and interpret Persian literature, focusing on …
Artificial Intelligence (AI) techniques to analyze and interpret Persian literature, focusing on …
[HTML][HTML] Hybrid PoS-tagging: A cooperation of evolutionary and statistical approaches
R Forsati, M Shamsfard - Applied Mathematical Modelling, 2014 - Elsevier
The assigning of syntactic categories to words in a sentence, which is referred to as part-of-
speech (PoS) tagging problem, plays an essential role in many natural language processing …
speech (PoS) tagging problem, plays an essential role in many natural language processing …
A morphological lexicon for the Persian language
We introduce PerLex, a large-coverage and freely-available morphological lexicon for the
Persian language. We describe the main features of the Persian morphology, and the way …
Persian language. We describe the main features of the Persian morphology, and the way …
FarsiTag: a part-of-speech tagging system for Persian
MJ Rezai, T Mosavi Miangah - Digital Scholarship in the …, 2017 - academic.oup.com
FarsiTag is a tagging system capable of assigning the most probable part-of-speech (POS)
tags to Persian words in a text. In this system, some linguistic rules have been used to select …
tags to Persian words in a text. In this system, some linguistic rules have been used to select …