Results 71 to 80 of about 3,469 (186)

A Data-Driven Model for Automated Chinese Word Segmentation and POS Tagging. [PDF]

Comput Intell Neurosci, 2022
Xu Q, Wang Z.
europepmc   +1 more source

From Language Identification to Topic Modelling: A Fully Integrated Pipeline for Multilingual Aspect‐Based Sentiment Analysis and Component‐Level Insights

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The rapid expansion of multilingual digital platforms has made the accurate analysis of user‐generated content across different languages and cultural contexts increasingly essential. However, existing methods struggle to maintain consistent performance due to linguistic diversity, morphological complexity, and structural variations in text ...
Abdulkadir Şeker
wiley   +1 more source

Inventory Record Inaccuracy in Grocery Retailing: Impact of Promotions and Product Perishability, and Targeted Effect of Audits

Journal of Business Logistics, Volume 47, Issue 3, July 2026.
ABSTRACT We report the results of a study to identify and quantify drivers of inventory record inaccuracy (IRI) in a grocery retailing environment, a context characterized by frequent promotions and a high share of perishable items. The analysis covers ~24,000 stock keeping units (SKUs) sold in 11 stores.
Yacine Rekik, Rogelio Oliva, Aris A. Syntetos, Christoph H. Glock   +3 more
wiley   +1 more source

Implementation of Conditional Random Fields Algorithm for Part of Speech Tagging in Madurese Language

JSiI (Jurnal Sistem Informasi)
Penelitian ini berfokus pada penerapan Conditional Random Fields (CRF) untuk Part of Speech (POS) Tagging dalam bahasa Madura. Mengingat keterbatasan sumber daya pemrosesan bahasa alami (NLP) untuk bahasa daerah, khususnya bahasa Madura, studi ini ...
Rizky Sulaiman, Setio Basuki
doaj   +3 more sources

Corpus Bootstrapping for Syriac Linguistics

Journal of Open Humanities Data
The present article summarises a bootstrapping approach to Syriac corpus linguistics that gives freedom for Syriac researchers to apply part-of-speech (POS) tagging technology on texts of their choice using the SEDRA API mechanism and offers an annotated
Charbel El-Khaissi
doaj   +1 more source

On the development of a tagset for Northern Sotho with special reference to the issue of standardisation

Literator, 2008
Working with corpora in the South African Bantu languages has up till now been limited to the utilisation of raw corpora. Such corpora, however, have limited functionality.
E. Taljard, G. Faaß, U. Heid, D.J. Prinsloo   +3 more
doaj   +1 more source

Habitat Suitability for a Unique, Fully Marine American Manatee (Trichechus manatus) Population Primarily Depends on Presence of Submarine Freshwater Springs

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT The American manatee (Trichechus manatus) requires freshwater mainly from rivers and springs to maintain osmoregulatory balance in saline environments. However, in Brazil's semi‐arid Potiguar Basin, manatees now rely solely on submarine freshwater springs because hypersaline estuaries have become unsuitable sources of freshwater.
A. C. O. Meirelles, I. C. Normande, M. D. O. Alves, K. F. Choi, V. L. Carvalho, J. C. G. Borges, L. von Fersen, Andrew W. Trites   +7 more
wiley   +1 more source

#hardtoparse: POS Tagging and Parsing the Twitterverse

, 2011
We evaluate the statistical dependency parser, Malt, on a new dataset of sentences taken from tweets. We use a version of Malt which is trained on gold standard phrase structure Wall Street Journal (WSJ) trees converted to Stanford labelled dependencies.
Foster, Jennifer, Cetinoglu, Ozlem, Wagner, Joachim, Le Roux, Joseph, Hogan, Stephen, Nivre, Joakim, Hogan, Deirdre, van Genabith, Josef   +7 more
openaire   +3 more sources

INVESTIGATING INTENSIFIER EFFECTS IN LOW-RESOURCE LANGUAGES USING CONVENTIONAL AND DEEP LEARNING MODELS [PDF]

ICTACT Journal on Soft Computing
In this study, two machine learning models, Long Short Term Memory (LSTM) and BERT are used to predict intensifiers in Malayalam sentences. Both models were trained to detect intensifiers using part-of-speech (POS) tags, and BERT regularly outperformed ...
R. Anitha, K.S. Anil Kumar, R.R. Rajeev
doaj   +1 more source

Towards Developing a Comprehensive Tag Set for the Arabic Language

Journal of Intelligent Systems, 2020
This paper presents a comprehensive Tag set as a fundamental component for developing an automated Word Class/Part-of-Speech (PoS) tagging system for the Arabic language.
Alqrainy Shihadeh, Alawairdhi Muhammed
doaj   +1 more source