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Acoustic features of dysphonic speech vs normal speech in New Zealand English speakers
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Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG
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In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022)
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Causal and Semantic Relations in L2 Text Processing: An Eye-Tracking Study
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Nahatame, Shingo. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022
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85 |
Recognition of Urdu sign language: a systematic review of the machine learning classification
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In: PeerJ Comput Sci (2022)
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86 |
Multi-label emotion classification of Urdu tweets
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In: PeerJ Comput Sci (2022)
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87 |
Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
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88 |
Word Frequency Analysis of Community Reaction to Religious Violence on Social Media
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In: School of Computer Science & Engineering Faculty Publications (2022)
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(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment
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In: PeerJ Comput Sci (2022)
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A systematic literature review on spam content detection and classification
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In: PeerJ Comput Sci (2022)
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91 |
People’s expectations and experiences of big data collection in the Saudi context
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In: PeerJ Comput Sci (2022)
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92 |
Developing and evaluating cybersecurity competencies for students in computing programs
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In: PeerJ Comput Sci (2022)
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93 |
Multitask Pointer Network for Multi-Representational Parsing
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CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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Horse or pony? Visual Typicality and Lexical Frequency Affect Variability in Object Naming
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Abstract:
Often we can use different names to refer to the same object (e.g., pony vs. horse) and naming choices vary among people. In the present study we explore factors that affect naming variation for visually presented objects. We analyse a large dataset of object naming with realistic images and focus on two factors: (a) the visual typicality of objects and their context for the names used by human annotators and (b) the lexical frequency of these names. We use a novel computational approach to estimate visual typicality by calculating the visual similarity of a given object (or context) and the average visual information of other objects which were given the same name (in an independent dataset). In difference to previous studies, we not only consider the name used by most annotators for a given object (top name) but explore also the role of the second most frequently used name (alternative name). Our results show that naming variation decreases the more typical an object is for its top name and the higher the lexical frequency of this name. For alternative names the opposite is found. Context typicality does not show a general effect in our analysis. Overall our results show that visual and lexical characteristics relating to name candidates beyond the top name are informative for predicting variability in object naming. On a methodological level, our results demonstrate the potential of using large scale datasets with realistic images in conjunction with computational methods to inform models of human object naming.
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Keyword:
Computational Linguistics; context typicality; lexical frequency; name agreement; name variability; object naming; object typicality; visual typicality
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URL: https://scholarworks.umass.edu/scil/vol5/iss1/26 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1245&context=scil
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96 |
Masked language models directly encode linguistic uncertainty
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Learning Stress Patterns with a Sequence-to-Sequence Neural Network
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Modeling human-like morphological prediction
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In: Proceedings of the Society for Computation in Linguistics (2022)
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The interaction between cognitive ease and informativeness shapes the lexicons of natural languages
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In: Proceedings of the Society for Computation in Linguistics (2022)
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What is so Plautine about Plautine Language? Computers and the Style of Early Latin Drama
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In: Peter Barrios-Lech (2022)
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