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Dataset on multiregional variations of Bangla language (BD-Dialect). [PDF]
Data BriefRahman A, Muna NH, Prity MS.
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Mapping semantic space: property norms and semantic richness
Cognitive Processing, 2019In semantic property listing tasks, participants list many features for some concepts and fewer for others. This variability in number of features (NoF) has been used in previous research as a measure of a concept's semantic richness, and such studies have shown that in lexical-semantic tasks responses tend to be facilitated for words with high NoF ...
Penny Pexman +2 more
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Semantic richness: The role of semantic features in processing spoken words
Journal of Memory and Language, 2014A lexical decision and two visual world paradigm experiments are reported that investigated the role of semantic representations in recognizing spoken words. Semantic richness (NOF: number of features) influenced lexical decision reaction times in that semantically rich words (high NOF) were processed faster than semantically impoverished words (low ...
Cynthia M Connine
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Retargeting Semantically-Rich Photos
IEEE Transactions on Multimedia, 2015Semantically-rich photos contain a rich variety of semantic objects (e.g., pedestrians and bicycles). Retargeting these photos is a challenging task since each semantic object has fixed geometric characteristics. Shrinking these objects simultaneously during retargeting is prone to distortion.
Luming Zhang +5 more
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Semantically-Rich Composition of Virtual Images
2012 IEEE Fifth International Conference on Cloud Computing, 2012Virtualization promises to reduce data centers' total cost of ownership by enabling the creation of a small set of standardized building blocks to be shared and used many times indifferent software stacks. However, without proper methodology and tools, an organization can easily end up with a large number of one-off virtual images, adversely affecting ...
Fábio Oliveira +3 more
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Automated rich presentation of a semantic topic
Proceedings of the 13th annual ACM international conference on Multimedia, 2005To have a rich presentation of a topic, it is not only expected that many relevant multimodal information, including images, text, audio and video, could be extracted; it is also important to organize and summarize the related information, and provide users a concise and informative storyboard about the target topic.
Lie Lu, Zhiwei Li
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2018
<p>Purpose: This study investigates one possible reason for individual differences in vocabulary learning from written context. A Latent Semantic Analysis (LSA) model is used to motivate the prediction of a causal relationship between semantic knowledge for words in a text and the quality of their hypotheses about the semantics of novel words, an
Dawna Margaret Duff +5 more
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<p>Purpose: This study investigates one possible reason for individual differences in vocabulary learning from written context. A Latent Semantic Analysis (LSA) model is used to motivate the prediction of a causal relationship between semantic knowledge for words in a text and the quality of their hypotheses about the semantics of novel words, an
Dawna Margaret Duff +5 more
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Semantically Rich Spaces for Document Clustering
2008 19th International Conference on Database and Expert Systems Applications, 2008Dimensionality reduction techniques address a relevant problem of vector space models that is the size of involved dictionaries. Certain geometrical transformations applied over the original feature space, like the latent semantic analysis (LSA), aim at preserving and discovering semantic relations between documents within small dimensional spaces.
Roberto Basili 0001 +2 more
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SoundRiver: Semantically‐Rich Sound Illustration
Computer Graphics Forum, 2010AbstractSound is an integral part of most movies and videos. In many situations, viewers of a video are unable to hear the sound track, for example, when watching it in a fast forward mode, viewing it by hearing‐impaired viewers or when the plot is given as a storyboard.
Heike Jänicke +3 more
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Word Semantic Similarity for Morphologically Rich Languages
Proceedings of the Language Resources and Evaluation Conference, 2014In this work, we investigate the role of morphology on the performance of semantic similarity for morphologically rich languages, such as German and Greek. The challenge in processing languages with richer morphology than English, lies in reducing estimation error while addressing the semantic distortion introduced by a stemmer or a lemmatiser.
Zervanou, Kalliopi +2 more
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