Results 101 to 110 of about 645,699 (249)
Tagging Errors in Non-Native English Language Student-Composed Texts of Different Registers
Baltic 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
Regulation &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
Around the word, 2022 POS stands for "part-of-speech" (i.e. the grammatical nature of a word). POS tagging is the process of assigning a part-of-speech (such as noun, verb, adverb, adjective, determiner, etc.) to each word in a given text. This is a common task in corpus linguistics, NLP, and the digital humanities to help understand the structure of a text or collection of
openaire +2 more sources
Improving word vector model with part-of-speech and dependency grammar information
CAAI 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
ANN Based POS Tagging For Nepali Text [PDF]
, 2019 The article presents Part of Speech Tagging for Nepali Text using three techniques of Artificial Neural networks. The novel algorithm for POS tagging is introduced .Features are extracted from the marginal probability of Hidden Markov Model.
Archit Yajnik
core +1 more source
English address terms in Australian, British and North American English on Twitter/X
World Englishes, EarlyView.ABSTRACT This study analyses address terms on Twitter/X across three English‐speaking regions: Australia, the United Kingdom and the United States. Using a random sample, we examine the frequency and regional distribution of address forms, including @‐mentions, vocatives, titles, kinship terms and greetings.
Martin Schweinberger, Amir Sheikhan
wiley +1 more source
Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets [PDF]
, 2018 Sparsity is one of the major problems in natural language processing. The problem becomes even more severe in agglutinating languages that are highly prone to be inflected. We deal with sparsity in Turkish by adopting morphological features for part-of-speech tagging.
Burcu Can +2 more
openaire +3 more sources
Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches
IEEE Access, 2019 In Urdu, part of speech (POS) tagging is a challenging task as it is both inflectionally and derivationally rich morphological language. Verbs are generally conceived a highly inflected object in Urdu comparatively to nouns.
Wahab Khan +6 more
doaj +1 more source
Address between power and solidarity in audiovisual material in the case of Grey's Anatomy
World Englishes, EarlyView.ABSTRACT This study investigates cross‐linguistic variation in forms of address by examining the American prime‐time television series Grey's Anatomy, comparing the original English version and the German dubbing in season 1 (2005) and season 20 (2024).
Lisa‐Christine Altendorf
wiley +1 more source
Quality Improvement Of Pos Tagging In Industrial Text Processing Systems [PDF]
, 2004 The article addresses the problem of improving POS tagging quality. The described technology is based on heuristic mechanisms aimed at improving the output of statistical POS taggers. The suggested implementation is a hybrid of statistical and rule-based
Vorontsov, A.
core +2 more sources