Results 11 to 20 of about 645,699 (249)
Neural POS tagging of shahmukhi by using contextualized word representations [PDF]
Journal of King Saud University - Computer and Information Sciences, 2023 Part of Speech (POS) tagging has a preliminary role in building natural language processing applications. This paper presents the development and evaluation of the first POS tagged corpus along with a Bi-directional long-short memory (BiLSTM) network ...
Ala Al-Fuqaha +2 more
exaly +7 more sources
Weakly Supervised POS Tagging without Disambiguation [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2018 Weakly supervised part-of-speech (POS) tagging is to learn to predict the POS tag for a given word in context by making use of partial annotated data instead of the fully tagged corpora.
Deyu Zhou, Min-Ling Zhang, Yulan He
exaly +5 more sources
A Cascaded Unsupervised Model for PoS Tagging [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021 Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., dependency parsing) and thereby ...
Burcu Can, Necva Bölücü
exaly +7 more sources
From POS tagging to dependency parsing for biomedical event extraction [PDF]
BMC Bioinformatics, 2019 Background Given the importance of relation or event extraction from biomedical research publications to support knowledge capture and synthesis, and the strong dependency of approaches to this information extraction task on syntactic information, it is ...
Dat Quoc Nguyen, Karin Verspoor
doaj +4 more sources
Unsupervised Joint PoS Tagging and Stemming for Agglutinative Languages [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2019 The number of possible word forms is theoretically infinite in agglutinative languages. This brings up the out-of-vocabulary (OOV) issue for part-of-speech (PoS) tagging in agglutinative languages.
Burcu Can, Necva Bölücü
exaly +6 more sources
A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language
IEEE AccessA fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah +6 more
doaj +2 more sources
An improved joint model: POS tagging and dependency parsing [PDF]
Journal of Artificial Intelligence and Data Mining, 2016 Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph.
A. Pakzad, B. Minaei Bidgoli
doaj +3 more sources
A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features [PDF]
PeerJ Computer SciencePart-of-speech (POS) tagging is the process of assigning tags or labels to each word of a text based on the grammatical category. It provides the ability to understand the grammatical structure of a text and plays an important role in many natural ...
Mushtaq Ali +2 more
doaj +3 more sources
POS tagging using relaxation labelling [PDF]
Proceedings of the 16th conference on Computational linguistics -, 1996 compressed & uuencoded postscript file.
Lluís Padró, Departament Llenguatges
openaire +5 more sources
Low-Resource POS Tagging With Deep Affix Representation and Multi-Head Attention
IEEE AccessPart-of-speech (POS) tagging is a challenging and foundational task in the field of natural language processing (NLP), which commonly leverages the learned representations of individual word and character encodings within those words. However, neither of
Alim Murat, Samat Ali
doaj +2 more sources