Results 11 to 20 of about 248,393 (200)
Sound structure and sound change: A modeling approach
, 2019 This title is superseded by https://langsci-press.org/catalog/book/410. Research in linguistics, as in most other scientific domains, is usually approached in a modular way – narrowing the domain of inquiry in order to allow for increased depth of study.
Morley, Rebecca L.
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Sound structure and sound change: A modeling approach (Second revised edition)
, 2023 Research in linguistics, as in most other scientific domains, is usually approached in a modular way – narrowing the domain of inquiry in order to allow for increased depth of study.
Morley, Rebecca L.
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The interactive reading task: Transformer-based automatic item generation
Frontiers in Artificial Intelligence, 2022 Automatic item generation (AIG) has the potential to greatly expand the number of items for educational assessments, while simultaneously allowing for a more construct-driven approach to item development.
Yigal Attali +6 more
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A Precis of Language Models are not Models of Language
CoRR, 2022 Natural Language Processing is one of the leading application areas in the current resurgence of Artificial Intelligence, spearheaded by Artificial Neural Networks. We show that despite their many successes at performing linguistic tasks, Large Neural Language Models are ill-suited as comprehensive models of natural language.
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Analyzing and Controlling Inter-Head Diversity in Multi-Head Attention
Applied Sciences, 2021 Multi-head attention, a powerful strategy for Transformer, is assumed to utilize information from diverse representation subspaces. However, measuring diversity between heads’ representations or exploiting the diversity has been rarely studied.
Hyeongu Yun, Taegwan Kang, Kyomin Jung
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Applied Sciences, 2020 The rate of software development has increased dramatically. Conventional compilers cannot assess and detect all source code errors. Software may thus contain errors, negatively affecting end-users.
Md. Mostafizer Rahman +2 more
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Abbreviated text input using language modeling. [PDF]
, 2007 We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by taking advantage of the informational redundancy in natural language ...
Goodridge, Andrew, Nelken, Rani
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Synchronous models of language [PDF]
Proceedings of the 34th annual meeting on Association for Computational Linguistics -, 1996 In synchronous rewriting, the productions of two rewriting systems are paired and applied synchronously in the derivation of a pair of strings. We present a new synchronous rewriting system and argue that it can handle certain phenomena that are not covered by existing synchronous systems.
RAMBOW O., SATTA, GIORGIO
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A Bounded Scheduling Method for Adaptive Gradient Methods
Applied Sciences, 2019 Many adaptive gradient methods have been successfully applied to train deep neural networks, such as Adagrad, Adadelta, RMSprop and Adam. These methods perform local optimization with an element-wise scaling learning rate based on past gradients ...
Mingxing Tang +4 more
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Applied Sciences, 2022 Text data augmentation is essential in the field of medicine for the tasks of natural language processing (NLP). However, most of the traditional text data augmentation focuses on the English datasets, and there is little research on the Chinese datasets
Binbin Shi +5 more
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