Results 21 to 30 of about 531,339 (320)
Posterior Differential Regularization with f-divergence for Improving Model Robustness [PDF]
North American Chapter of the Association for Computational Linguistics, 2020 We address the problem of enhancing model robustness through regularization. Specifically, we focus on methods that regularize the model posterior difference between clean and noisy inputs.
Hao Cheng +4 more
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Towards a unifying theory of linguistic meaning
Communicative & Integrative Biology, 2023 Fundamental tensions exist between formal-logical approaches and cognitive approaches to linguistic meaning. The divergence arises from the fundamental differences in nature and form between formal/mathematical structures of natural language meaning and ...
Prakash Mondal
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Divergence and contact in Southern Bantu language and population history
Language Dynamics and Change, 2022 In this paper we present a new, lexicon-based phylogeny of 34 Southern Bantu languages, and combine it with previous insights from linguistics, archaeology, and genetics to study the history of Southern Bantu languages and their speakers. Our phylogeny
Hilde Gunnink +2 more
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Zipf–Mandelbrot law, f-divergences and the Jensen-type interpolating inequalities
Journal of Inequalities and Applications, 2018 Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type inequalities, in this paper we integrate this approach with the well known Zipf–Mandelbrot law applied to various types of f-divergences and distances, such ...
Neda Lovričević +2 more
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Literator, 2003 In this article three difficulties in dealing with post-modern applied linguistics are identified, and three reasons are given for taking the trouble to define this emerging tradition of doing applied linguistics.
A. Weideman
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Measure and Evaluation of Semantic Divergence across Two Languages
Annual Meeting of the Association for Computational Linguistics, 2021 Languages are dynamic systems: word usage may change over time, reflecting various societal factors. However, all languages do not evolve identically: the impact of an event, the influence of a trend or thinking, can differ between communities.
Syrielle Montariol, A. Allauzen
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Audio Summarization with Audio Features and Probability Distribution Divergence [PDF]
Conference on Intelligent Text Processing and Computational Linguistics, 2020 The automatic summarization of multimedia sources is an important task that facilitates the understanding of an individual by condensing the source while maintaining relevant information.
Carlos-Emiliano Gonz'alez-Gallardo +3 more
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Advances in Social Sciences Research Journal, 2019 The social turn of cognitive linguistics and cognitive turn of critical discourse analysis breed the opportunity for cognitive linguistics and critical discourse analysis to develop towards a more converging path that integrates both cognitive and social
Qian Wang
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Fundamental Principles of Corpus Linguistics
, 2022 How might evidence of language use – writing and speech – be used as a way of studying language? Corpus linguistics is the study of linguistic data from a particular language or set of languages.
Tony McEnery, V. Brezina
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Entropy, 2020 The use of Project Gutenberg (PG) as a text corpus has been extremely popular in statistical analysis of language for more than 25 years. However, in contrast to other major linguistic datasets of similar importance, no consensual full version of PG ...
Martin Gerlach, Francesc Font-Clos
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