Results 81 to 90 of about 3,469 (183)
From Word Segmentation to POS Tagging for Vietnamese
To appear in Proceedings of the 15th Annual Workshop of the Australasian Language Technology Association, ALTA ...
Dat Quoc Nguyen +4 more
openaire +3 more sources
INVESTIGATING INTENSIFIER EFFECTS IN LOW-RESOURCE LANGUAGES USING CONVENTIONAL AND DEEP LEARNING MODELS [PDF]
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
The development of a large-scale, Part-of-Speech (POS) tagged corpus for Urdu, a morphologically rich and low-resource language, remains a significant challenge due to the scarcity of annotated linguistic data.
Mushtaq Ali +4 more
doaj +1 more source
Blackboard Agents for Standard Arabic Language Tokenization and Parsing
The Processing of the Arabic language is a difficult mission comparing it with other languages. Because Sentences in Arabic language are complex, longer than the others in various languages, and have difficult structure with lattices.
Abdul Kareem Murhij Radhi
doaj
Low-Resource POS Tagging With Deep Affix Representation and Multi-Head Attention
Part-of-speech (POS) tagging is a challenging and foundational task in the field of natural language processing (NLP), which commonly leverages the learned representations of individual word and character encodings within those words. However, neither of
Alim Murat, Samat Ali
doaj +1 more source
LIGHT-WEIGHT, SEMI CONTEXT-FREE, RULE-BASED ARABIC TEXT CLASSIFIER FOR POS TAGGING
In this research, we address the challenges associated with part-of-speech (POS) tagging and morphological classification of Arabic text where word structure is the subject of study.. Our focus is on Classical Arabic (CA) and Modern Standard Arabic (MSA),
Bilal Alqduah +3 more
doaj +1 more source
Automatic grammatical tagger for a Spanish–Mixtec parallel corpus
In this work, we developed the first intelligent automatic grammatical tagger for a Spanish–Mixtec parallel corpus in Mexico. The proposed tagger consists of multiple phases.
Hermilo Santiago-Benito +5 more
doaj +1 more source
Decision Strategies for Incremental POS Tagging.
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa. NEALT Proceedings Series, Vol. 11 (2011), 26-33. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt ...
Beuck, Niels +2 more
openaire +3 more sources
Die Dulko-Tools aus dem Dulko-Lernerkorpusprojekt für die semiautomatische Annotation von Lernertexten sind seit 2023 offizieller Teil des EXMARaLDA-Partitur-Editors. Für die im Juni 2024 erschienene Version 1.8 wurden sie weiter verbessert.
Andreas Nolda
doaj +2 more sources
Improving spaCy dependency annotation and PoS tagging web service using independent NER services. [PDF]
Colic N, Rinaldi F.
europepmc +1 more source

