Results 21 to 30 of about 9,057 (292)
IEEE Access, 2023 A resurgent interest for grammatical inference aka automaton learning has emerged in several intriguing areas of computer sciences such as machine learning, software engineering, robotics and internet of things.
Farah Haneef, Muddassar Azam Sindhu
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The Effect of Grammatical Understanding on the Ability of Writing Thesis Students
Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya, 2022 The purpose of this research is to decrypt and analyze whether grammatical understanding affects the writing ability of Semarang University’s students thesis and how it affects.
Rati - Riana, Susanto Susanto
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Split-Based Algorithm for Weighted Context-Free Grammar Induction
Applied Sciences, 2021 The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from both
Mateusz Gabor +2 more
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Grammatical inference with bioinformatics criteria [PDF]
Neurocomputing, 2012 In this paper we describe both the theoretical and practical results of a novel approach that combines hybrid techniques of association analysis and classical sequentiation algorithms of genomics to generate the grammatical structures of a specific language. We used an application of a compiler generator system that allows a practical application to be
Vivian F. López Batista +4 more
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IgTM: An algorithm to predict transmembrane domains and topology in proteins
BMC Bioinformatics, 2008 Background Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI) to localize transmembrane segments.
Campos Marcelino +2 more
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From Grammar Inference to Semantic Inference—An Evolutionary Approach
Mathematics, 2020 This paper describes a research work on Semantic Inference, which can be regarded as an extension of Grammar Inference. The main task of Grammar Inference is to induce a grammatical structure from a set of positive samples (programs), which can sometimes
Željko Kovačević +3 more
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Learning Picture Languages Using Dimensional Reduction
Inteligencia Artificial, 2023 One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of their two-dimensional (picture) counterpart, which retains similar importance, is lacking.
David Kubon +2 more
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سُؤالاتُ المازنيّ (ت: 249هـ) لأبي الحسن الأخفش (ت: 215هـ) (جمعًا وتوثيقًا ودراسةً). [PDF]
Maǧallaẗ Kulliyyaẗ al-Luġaẗ al-'arabiyyaẗ bi-Assiut, 2022 الملخص: يهدف البحث إلى دراسة سؤالات المازني النحوية والتصريفية لأبي الحسن الأخفش الأوسط، ودراسة مثل هذه القضية إضافة للدراسات اللغوية؛ لأن هذه السؤالات لم يذكرها المازني في كتاب (التصريف)، الذي شرحه ابن جني في كتابه (المنصف)، كما أن الأخفش لم ينص عليها ...
د. سهام عاطف عبد العظيم القاضي.
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Grammatical inference and computational linguistics [PDF]
Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference - CLAGI '09, 2009 When dealing with language, (machine) learning can take many different faces, of which the most important are those concerned with learning languages and grammars from data. Questions in this context have been at the intersection of the fields of inductive inference and computational linguistics for the past fifty years.
van Zaanen, M., De La Higuera, C.
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Typology emerges from simplicity in representations and learning
Journal of Language Modelling, 2021 We derive well-understood and well-studied subregular classes of formal languages purely from the computational perspective of algorithmic learning problems.
Dakotah Jay Lambert +2 more
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