Results 31 to 40 of about 645,699 (249)

SUSPENDED QUOTATIONS: A CORPUS ANALYSIS OF FUNCTIONS

open access: yesLe Simplegadi, 2020
By joining manual analysis and corpus linguistics methods, this paper compares and contrasts the use of suspended quotations in Charles Dickens and Jane Austen.
Francesca Bianchi
doaj   +1 more source

Syllable-Based Multi-POSMORPH Annotation for Korean Morphological Analysis and Part-of-Speech Tagging

open access: yesApplied Sciences, 2023
Various research approaches have attempted to solve the length difference problem between the surface form and the base form of words in the Korean morphological analysis and part-of-speech (POS) tagging task. The compound POS tagging method is a popular
Hyeong Jin Shin   +2 more
doaj   +1 more source

MulTed: a multilingual aligned and tagged parallel corpus [PDF]

open access: yesApplied Computing and Informatics, 2022
Recently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual parallel corpora are becoming the focus of many Natural Language Processing (NLP ...
Imad Zeroual, Abdelhak Lakhouaja
doaj   +1 more source

Glass eels and viruses – a lesson learnt from stocking the eastern German Baltic Sea coast

open access: yesTransboundary and Emerging Diseases, Accepted Article., 2022
Abstract Concerns about Anguillid herpesvirus 1 (AngHV‐1) in European eels, especially due to stocking measures, is increasingly coming into focus and raises questions regarding disease monitoring and prevention. In the past, stocking of AngHV‐1‐positive eels into waters assumed AngHV‐1‐free has led to a rapid increase of infected eels in the wild. For
Laura Kullmann   +3 more
wiley   +1 more source

A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text

open access: yesBMC Medical Informatics and Decision Making, 2019
Background Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks of Chinese text processing. They are usually preliminary steps for lots of Chinese natural language processing (NLP) tasks.
Ying Xiong   +7 more
doaj   +1 more source

BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging

open access: yesIEEE Access, 2022
In Natural Language Processing, Parts-of-Speech tagging is a vital component that significantly impacts applications like machine translation, spell-checker, information retrieval, and speech processing.
Jesan Ahammed Ovi   +2 more
doaj   +1 more source

Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe

open access: yesConference on Computational Natural Language Learning, 2017
Many natural language processing tasks, including the most advanced ones, routinely start by several basic processing steps – tokenization and segmentation, most likely also POS tagging and lemmatization, and commonly parsing as well.
Milan Straka, Jana Straková
semanticscholar   +1 more source

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing [PDF]

open access: yesConference on Computational Natural Language Learning, 2018
We propose a novel neural network model for joint part-of-speech (POS) tagging and dependency parsing. Our model extends the well-known BIST graph-based dependency parser (Kiperwasser and Goldberg, 2016) by incorporating a BiLSTM-based tagging component ...
Dat Quoc Nguyen, Karin M. Verspoor
semanticscholar   +1 more source

Bayesian Belief Networks to handle NLP problems [PDF]

open access: yesE3S Web of Conferences
In corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition and ...
Sak Alexander
doaj   +1 more source

Bidirectional Long Short-Term Memory Network with a Conditional Random Field Layer for Uyghur Part-Of-Speech Tagging

open access: yesInformation, 2017
Uyghur is an agglutinative and a morphologically rich language; natural language processing tasks in Uyghur can be a challenge. Word morphology is important in Uyghur part-of-speech (POS) tagging.
Maihemuti Maimaiti   +3 more
doaj   +1 more source

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