Results 141 to 150 of about 48,139 (301)
Multilingual Part-of-Speech Tagging Two Unsupervised Approaches
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The central assumption of our work is that by combining cues from multiple languages, the structure of each becomes more apparent.
Naseem, Tahira +3 more
core
User tagging of online cultural heritage items [PDF]
The "User Tagging of Online Cultural Heritage Items‟ project was sponsored by the National Library of Australia. Users of online services now expect to be able to interact with and contribute to those services.
Whitton, Helena +3 more
core
Color‐pure all‐organic emitters, i.e., with narrow spectral characteristics, are intensively studied for high‐definition organic LEDs and multi‐color bioimaging. In order to guide targeted materials design, this educative review discusses spectral characteristics, proper definitions and units, and the physical basis of spectral broadening, to distill ...
Johannes Gierschner +6 more
wiley +2 more sources
In this research note we report on the first results of SCAP, the Spanish Corpus Annotation Project, applied to tourism discourse. In particular, we present and assess a new TreeTagger parameter set for Spanish (SCAP-TT), which has been trained for the ...
Patrick Goethals +2 more
doaj
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Large Margin Methods for Part‐of‐Speech Tagging
Part of speech tagging, an important component of speech recognition systems, is a sequence labeling problem which involves in- ferring a state sequence from an observation sequence, where the state sequence encodes a labeling, annotation or segmentation
Altun, Y.
core +1 more source
Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models
Karl Stratos +2 more
doaj +1 more source
Vernacular Futurism: How Persian Language Users Imagine AI
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
UniBA @ KIPoS: A hybrid approach for part-of-speech tagging
The Part of Speech tagging operation is becoming increasingly important as it represents the starting point for other high-level operations such as Speech Recognition, Machine Translation, Parsing and Information Retrieval. Although the accuracy of state-
Ferilli S., Izzi G. L.
core
A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text. [PDF]
Xiong Y +7 more
europepmc +1 more source

