Results 31 to 40 of about 3,469 (186)

Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction [PDF]

Journal of Data Mining and Digital Humanities
Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks.
Stefan Heid, Marcel Wever, Eyke Hüllermeier   +2 more
doaj   +1 more source

A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language

IEEE Access
A 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, Riaz Ahmad, Abdallah Namoun, Siraj Muhammad, Khalil Ullah, Ibrar Hussain, Isa Ali Ibrahim   +6 more
doaj   +1 more source

POS tagging of dialectal Arabic [PDF]

Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages - Semitic '05, 2005
Natural language processing technology for the dialects of Arabic is still in its infancy, due to the problem of obtaining large amounts of text data for spoken Arabic. In this paper we describe the development of a part-of-speech (POS) tagger for Egyptian Colloquial Arabic. We adopt a minimally supervised approach that only requires raw text data from
Kevin Duh, Katrin Kirchhoff
openaire   +2 more sources

Design‐Driven Production of Soybean Oil‐Based Structured Fats as Potential Substitutes for Palm‐Based Fats

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT This study examined whether enzymatic modification of soybean oil (SBO) can be tailored to produce trans‐free fats with physicochemical properties comparable to palm olein, stearin, or palm‐mid fractions (PMFs). US‐grown SBO was modified by lipase‐catalyzed acidolysis using palmitic acid at linearly interpolated substrate molar ratios (C16:0 ...
Ityotagher P. Aondoakaa, Silvana Martini, Casimir C. Akoh   +2 more
wiley   +1 more source

Pracaxi Oil as a Potential Inhibitor of Fat Bloom

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Fat bloom is one of the major technological challenges faced by the chocolate industry, caused by the polymorphic transition from β2(V) to β1(VI) crystals in cocoa butter (CB). One strategy to slow down this polymorphic transition is the addition of lipids rich in very long chain fatty acids (VLCFA), such as behenic acid.
Victoria Marques Gropelli, Priscila Dayane De Freitas Santos, Thayná Torres Da Silva, Ana Paula Badan Ribeiro, Rosiane Lopes Cunha   +4 more
wiley   +1 more source

Tracking Climate and Environmental Attention: A News‐Based Composite Index

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca, Andrea Fronzetti Colladon, Barbara Guardabascio, Ludovica Segneri   +3 more
wiley   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Introducing and Evaluating a Measure of Lexical Diversity Across Word Classes

TESOL Quarterly, EarlyView.
Abstract Lexical diversity (LD) has been shown to be a strong predictor of second language (L2) proficiency. However, most current indices combine all word classes into a single measure and thus only capture the broadest patterns of lexical variation.
Taehyeong Kim, Tove Larsson, Henrik Kaatari, Ying Wang, Pia Sundqvist   +4 more
wiley   +1 more source

Joint PoS Tagging and Stemming for Agglutinative Languages [PDF]

, 2018
12 pages with 3 figures, accepted and presented at the CICLING 2017 - 18th International Conference on Intelligent Text Processing and Computational ...
Necva Bölücü, Burcu Can
openaire   +3 more sources

Developing an Android Application for Analyzing Indonesian Syntax: A Rule and Probability-Based POS Tagging Approach

REiLA
The investigation of the grammatical level of syntax, particularly Indonesian, focuses exclusively on sentence formation and does not include the corpus.
Herpindo Herpindo, Ristiyani Ristiyani, Miftahula Rizqin Nikmatullah, Ratih Ngestrini   +3 more
doaj   +1 more source