Results 41 to 50 of about 349,001 (336)

Improving accuracy of Part-of-Speech (POS) tagging using hidden markov model and morphological analysis for Myanmar Language

open access: yesInternational Journal of Electrical and Computer Engineering (IJECE), 2020
In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation (MT), information retrieval (IR ...
Dim Lam Cing, K. Soe
semanticscholar   +1 more source

SVMs for Automatic Speech Recognition: a Survey [PDF]

open access: yes, 2007
Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen   +8 more
core   +1 more source

Chinese Story Generation Based on Style Control of Transformer Model and Content Evaluation Method

open access: yesAlgorithms
Natural language processing (NLP) has numerous applications and has been extensively developed in deep learning. In recent years, language models such as Transformer, BERT, and GPT have frequently been the foundation for related research.
Jhe-Wei Lin   +2 more
doaj   +1 more source

Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition

open access: yesMathematics, 2022
Chinese Medical Named Entity Recognition (Chinese-MNER) aims to identify potential entities and their categories from the unstructured Chinese medical text.
Miao Jiang   +4 more
doaj   +1 more source

Parts of speech as psycholinguistic classes [PDF]

open access: yesИзвестия Южного федерального университета: Филологические науки, 2016
Parts of speech are called the most important, from a particular point of view, word classes. In the European tradition parts of speech have been recovered by ancient grammarians, their classification reflect the essential properties of the Greek and ...
Alpatov Vladimir Mikhailovich
doaj   +1 more source

Time-regularized linear prediction for noise-robust extraction of the spectral envelope of speech

open access: yes, 2018
Feature extraction of speech signals is typically performed in short-time frames by assuming that the signal is stationary within each frame. For the extraction of the spectral envelope of speech, which conveys the formant frequencies produced by the ...
Manu Airaksinen   +7 more
core   +1 more source

Functional class (so called “part of speech”) assignment as a kind of meaning-bound word syntactic information

open access: yesCognitive Studies | Études cognitives, 2015
Functional class (so called “part of speech”) assignment as a kind of meaning-bound word syntactic information The traditional division of the lexicon into parts of speech which seems to satisfy the requirements of a syntactic description, on the one ...
Jadwiga Wajszczuk
doaj   +1 more source

KIPoS @ EVALITA2020: Overview of the Task on KIParla Part of Speech Tagging

open access: yesInternational Workshop on Evaluation of Natural Language and Speech Tools for Italian, 2020
English. The paper describes the first task on Part of Speech tagging of spoken language held at the Evalita evaluation campaign, KIPoS. Benefiting from the availability of a resource of transcribed spoken Italian (i.e.
C. Bosco   +4 more
semanticscholar   +1 more source

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2016
Bidirectional long short-term memory (bi-LSTM) networks have recently proven successful for various NLP sequence modeling tasks, but little is known about their reliance to input representations, target languages, data set size, and label noise.
Barbara Plank   +2 more
semanticscholar   +1 more source

PART OF SPEECH TAGGER FOR ARABIC TEXT BASED SUPPORT VECTOR MACHINES: A REVIEW [PDF]

open access: yesICTACT Journal on Soft Computing, 2019
There is not much research that discusses the Part of speech (POS) tagger for the Arabic language. Hence, the Arabic language is challenging to identify the types of part of the speech of a particular word in a given context because most modern texts do ...
Jabar H Yousif, Maryam H Al-Risi
doaj   +1 more source

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