Results 71 to 80 of about 53,994 (254)

Unraveling Complex Impacts Pathways of the Ecodesign for Sustainable Products Regulation and Corporate Sustainability Due Diligence Directive in Global Textile Value Chains: A European Perspective

open access: yesRegulation &Governance, EarlyView.
ABSTRACT Through the Ecodesign for Sustainable Products Regulation and the Corporate Sustainability Due Diligence Directive, the European Commission targets sustainable products and value chains to curb environmental and social problems. Based on a combination of a complex systems lens and the global value chain and global governance approaches, the ...
Emilia Stadler   +2 more
wiley   +1 more source

MALAY PART OF SPEECH TAGGER: A COMPARATIVE STUDY ON TAGGING TOOLS

open access: yesAsia-Pacific Journal of Information Technology and Multimedia, 2015
Malay language is an agglutinative language which rich morphology. Affixation to a root word is the most common morphological processes used to derive a new word for other meaning that would affect the change in their part of speech (POS ...
Hassan Mohamed   +2 more
doaj   +1 more source

Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling [PDF]

open access: yes, 2016
In this paper we propose and carefully evaluate a sequence labeling framework which solely utilizes sparse indicator features derived from dense distributed word representations.
Berend, Gábor
core   +1 more source

Tagging Errors in Non-Native English Language Student-Composed Texts of Different Registers

open access: yesBaltic Journal of English Language, Literature and Culture, 2014
Research of linguistic features requires part of speech (POS) tagging of texts. The existing POS taggers have been predominantly trained on native speakers’ texts to enhance their accuracy.
Zigrīda Vinčela
doaj  

Improving word vector model with part-of-speech and dependency grammar information

open access: yesCAAI Transactions on Intelligence Technology, 2020
Part-of-speech (POS) and dependency grammar (DG) are the basic components of natural language processing. However, current word vector models have not made full use of both POS information and DG information, and hence the models’ performances are ...
Chunhui Deng, Gangming Lai, Huifang Deng
doaj   +1 more source

Learning Dynamic Feature Selection for Fast Sequential Prediction

open access: yes, 2015
We present paired learning and inference algorithms for significantly reducing computation and increasing speed of the vector dot products in the classifiers that are at the heart of many NLP components.
McCallum, Andrew   +3 more
core   +1 more source

The double modal construction in English world wide

open access: yesWorld Englishes, EarlyView.
Abstract The dual foci of the present study of double modals are their semantic characteristics and their distribution across regional varieties of English world wide. Tokens were extracted from GloWbE:Blogs, a database whose great size and informal tenor facilitated the investigation of this low‐frequency non‐standard feature. Double modals were found
Peter Collins, Adam Smith
wiley   +1 more source

High Frequency Words Produced by Typically Developing Mandarin-Speaking Children Between 3 and 6 Years of Age

open access: yesSAGE Open, 2021
The purpose of this study was to provide high frequency word lists for Mandarin-speaking children between 3 and 6 years of age and to explore the differences between each part of speech (POS) category among different age groups.
Shang-Yu Wu   +3 more
doaj   +1 more source

POS tagging for German : how important is the right context? [PDF]

open access: yes, 2008
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, many languages require the inclusion of right context for correct ...
Ivanova, Steliana, Kübler, Sandra
core  

Analysis and development of Urdu POS tagged corpus [PDF]

open access: yesProceedings of the 7th Workshop on Asian Language Resources - ALR7, 2009
In this paper, two corpora of Urdu (with 110K and 120K words) tagged with different POS tagsets are used to train TnT and Tree taggers. Error analysis of both taggers is done to identify frequent confusions in tagging. Based on the analysis of tagging, and syntactic structure of Urdu, a more refined tagset is derived.
Ahmed Muaz, Aasim Ali, Sarmad Hussain
openaire   +2 more sources

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