Results 91 to 100 of about 2,562,427 (387)

Language as literature: Characters in everyday spoken discourse [PDF]

open access: yes, 2012
There are several linguistic phenomena that, when examined closely, give evidence that people speak through characters, much like authors of literary works do, in everyday discourse.
Sandler, Dr. Sergeiy
core  

Performance Evaluation of Upper‐Level Ontologies in Developing Materials Science Ontologies and Knowledge Graphs

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi   +3 more
wiley   +1 more source

Problèmes d’acceptabilité des occurrences relevées dans les corpus informatisés : exemple des prédicats nominaux désignant une propriété ou un trait de caractère

open access: yesStudia Romanica Posnaniensia, 2022
In this paper, we present the problems encountered during our research in the field of nominal predication in Polish, in particular concerning nouns referring to properties and character traits.
Grażyna Vetulani
doaj   +1 more source

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task [PDF]

open access: yes, 2020
This paper describes the NEMO submission to SIGTYP 2020 shared task which deals with prediction of linguistic typological features for multiple languages using the data derived from World Atlas of Language Structures (WALS). We employ frequentist inference to represent correlations between typological features and use this representation to train ...
arxiv   +1 more source

Exposition and Recount Texts Analysis: schematic structures and linguistics features [PDF]

open access: yes, 2018
Penelitian ini bertujuan untuk menganalisis wacana dari dua aspek; schematic structure dan linguistics features. Pemahaman kedua aspek dalam teks tersebut dapat membantu siswa memproduksi teks yang baik.
Sari, Dian Puspita
core   +1 more source

Learning Language Representations for Typology Prediction

open access: yes, 2017
One central mystery of neural NLP is what neural models "know" about their subject matter. When a neural machine translation system learns to translate from one language to another, does it learn the syntax or semantics of the languages?
Littell, Patrick   +2 more
core   +1 more source

Material Composition Gradient Controls the Autonomous Opening of Banksia Seed Pods in Fire‐Prone Habitats

open access: yesAdvanced Functional Materials, EarlyView.
The seed pod valves of Australian Banksia attenuata plants are not simply bi‐layers which bend when dry. These experiments and models reveal complex mechanics, which allow seed release only after several steps of seed pod opening. Stiffness gradients prevent delamination of the valves during loading, and a shape‐memory function protects the seeds ...
Friedrich Reppe   +7 more
wiley   +1 more source

Present subjunctive in spoken German

open access: yesRiCognizioni, 2019
This paper aims at investigating the usage of present subjunctive (Konjunktiv I), which is traditionally labelled as a feature of standard written language and therefore as typically occurring in communication genres based on it such as press texts and ...
Giorgio Antonioli
doaj   +1 more source

Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation

open access: yes, 2017
Pairwise ranking methods are the basis of many widely used discriminative training approaches for structure prediction problems in natural language processing(NLP).
Chen, Huadong   +4 more
core   +1 more source

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

open access: yesAdvanced Optical Materials, EarlyView.
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley   +1 more source

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