Papers in Laboratory Phonology V: Acquisition and the lexicon. Michael B. Broe and Janet B. Pierrehumbert (Eds.). Cambridge: Cambridge University Press, 2000. Pp. 414.

2001 ◽  
Vol 22 (2) ◽  
pp. 273-278
Author(s):  
Marilyn Vihman
Keyword(s):  
Speech Production ◽  
Mental Representation ◽  
State Of The Art ◽  
Human Movement ◽  
Physical Models ◽  
Prosodic Structure ◽  
Cambridge University ◽  
Laboratory Phonology ◽  
Primary Focus ◽  
The Relationship

This stimulating volume is the outcome of a 1996 conference, the first in the laboratory phonology series to incorporate psycholinguistic topics, including six chapters addressing acquisition. Here, as in the earlier conferences, the primary focus is on the relationship between phonetics and phonology. For example, in the first section, “Articulation and Mental Representation,” Munhall, Kawato, and Vatikiotis-Bateson provide a lucid account of the state of the art in physical models of articulation; they conclude with a discussion of the difficulty of identifying the interface between phonology and speech production. In a related study, the relevance of overarching prosodic structure (“phrasal signatures”) to low-level articulatory effects is illustrated in some detail by Byrd, Kaun, Narayanan, and Saltzman, who find that “prosodic structure is manifest in the details of articulation. . . . The abstract symbolic representation useful to linguistics [must be integrated] with a dynamical model of human movement useful to speech scientists” (p. 85).

Michael B. Broe and Janet B. Pierrehumbert (eds.) (2000). Papers in laboratory phonology V: acquisition and the lexicon. Cambridge: Cambridge University Press. Pp. xiii+400.

Phonology ◽  
2001 ◽  
Vol 18 (3) ◽  
pp. 439-444 ◽  
Author(s):  
Edward Flemming
Keyword(s):  
Speech Processing ◽  
Common Assumption ◽  
Frequency Effects ◽  
Cambridge University ◽  
Laboratory Phonology ◽  
Northwestern University ◽  
The Common ◽  
The Relationship ◽  
Phonological Units

Acquisition and the lexicon collects revised versions of nineteen primary papers and four commentaries presented at the 5th Conference on Laboratory Phonology, held at Northwestern University in July 1996. It is not possible to do justice to each paper in a collection this large and diverse, so individual papers will be discussed as they relate to three themes that emerge from the book as a whole: (i) the relationship between phonology and speech processing – this volume contains more papers on speech processing than its predecessors in the Laboratory Phonology series, which brings to the forefront questions about the relationship between phonological theory and theories of speech processing; (ii) the phonetics–phonology divide – a number of the phonology papers question the common assumption that phonetics and phonology are separate components of grammar; (iii) frequency effects – results are presented showing effects of the frequency of words and other phonological units in a striking variety of domains.

LINGUISTICS: AN INTRODUCTION. Andrew Radford, Martin Atkinson, David Britain, Harald Clahsen, and Andrew Spencer. New York: Cambridge University Press, 1999. Pp. xvi + 438. $22.95 paper.

2001 ◽  
Vol 23 (3) ◽  
pp. 431-432
Author(s):  
Cheryl Fantuzzi
Keyword(s):  
New York ◽  
Social Structure ◽  
Speech Production ◽  
Language Use ◽  
Language Variation ◽  
Fundamental Question ◽  
Language Variation And Change ◽  
Cambridge University ◽  
The Relationship ◽  
The Brain

The authors begin this introductory text by posing four major questions for the study of language: what is the nature of language, how do we acquire it, how do we use it in speech production and comprehension, and how is it represented in the brain? These questions also define the orientation of the book, which aims to introduce the reader to the study of linguistics through four interrelated subfields: linguistics proper, developmental linguistics, psycholinguistics, and neurolinguistics. Conspicuously absent from the list, of course, is a fifth fundamental question about language: what is the relationship between language use and social structure? Sociolinguistics is only briefly defined and introduced, and discussion of sociolinguistics throughout the text is limited to the relationship between social structure and language variation and change.

Identifying Physico-Chemical Laws from the Robotically Collected Data

2019 ◽  
Author(s):  
Liwei Cao ◽  
Danilo Russo ◽  
Vassilios S. Vassiliadis ◽  
Alexei Lapkin
Keyword(s):  
Experimental Data ◽  
Numerical Models ◽  
Predictor Variable ◽  
Physical Models ◽  
Training Data ◽  
Mixed Integer ◽  
Physico Chemical ◽  
Data Points ◽  
Future Work ◽  
The Relationship

<p>A mixed-integer nonlinear programming (MINLP) formulation for symbolic regression was proposed to identify physical models from noisy experimental data. The formulation was tested using numerical models and was found to be more efficient than the previous literature example with respect to the number of predictor variables and training data points. The globally optimal search was extended to identify physical models and to cope with noise in the experimental data predictor variable. The methodology was coupled with the collection of experimental data in an automated fashion, and was proven to be successful in identifying the correct physical models describing the relationship between the shear stress and shear rate for both Newtonian and non-Newtonian fluids, and simple kinetic laws of reactions. Future work will focus on addressing the limitations of the formulation presented in this work, by extending it to be able to address larger complex physical models.</p><p><br></p>

THE RELATIONSHIP BETWEEN RELIGIOUS BELIEFS AND THE ACCOUNTING AND ECONOMIC PRACTICES OF A SOCIETY: EVIDENCE FROM THE DEAD SEA SCROLLS

2013 ◽  
Vol 40 (2) ◽  
pp. 115-143 ◽  
Author(s):  
David N. Herda ◽  
Stephen A. Reed ◽  
William F. Bowlin
Keyword(s):  
Religious Beliefs ◽  
Dead Sea Scrolls ◽  
Second Temple ◽  
Dead Sea ◽  
First Century ◽  
Second Temple Period ◽  
Economic Practices ◽  
The Dead ◽  
Primary Focus ◽  
The Relationship

This study explores the Dead Sea Scrolls to demonstrate how Essene socio-religious values shaped their accounting and economic practices during the late Second Temple period (ca. first century BCE to 70 CE). Our primary focus is on the accounting and commercial responsibilities of a leader within their community – the Examiner. We contend that certain sectarian accounting practices may be understood as ritual/religious ceremony and address the performative roles of the Essenes' accounting and business procedures in light of their purity laws and eschatological beliefs. Far from being antithetical to religious beliefs, we find that accounting actually enabled the better practice and monitoring of religious behavior. We add to the literature on the interaction of religion with the structures and practices of accounting and regulation within a society.

DESIGNING A HOLISTIC ADAPTIVE RECOMMENDER SYSTEM (HARS) FOR CUSTOMER RELATIONSHIP DEVELOPMENT: A CONCEPTUAL FRAMEWORK

2021 ◽  
Vol IV (2) ◽  
pp. 84-97
Author(s):  
Alina Popa ◽  
Keyword(s):  
Recommender System ◽  
State Of The Art ◽  
Customer Behavior ◽  
Relationship Development ◽  
Customer Relationship ◽  
Limited Data ◽  
Buying Behavior ◽  
Integrative View ◽  
Client Relationship ◽  
The Relationship

With the recent COVID-19 pandemic, the world we knew changed significantly. The buying behavior shifted as well and is reflected by a growing transition to online interaction, higher media consumption and massive turn to online shopping. Companies that aim to remain top of mind to customers should ensure that their way of interacting with user is both relevant and highly adaptive. Companies should invest in state-of-the-art technologies that help manage and optimize the relationship with the client based on both online and offline data. One of the most popular applications that companies use to develop the client relationship is a Recommender System. The vast majority of traditional recommender systems consider the recommendation as a static procedure and focus either on a specific type of recommendation or on some limited data. In this paper, it is proposed a novel Reinforcement Learning-based recommender system that has an integrative view over data and recommendation landscape, as well as it is highly adaptive to changes in customer behavior, the Holistic Adaptive Recommender System (HARS). From system design to detailed activities, it was attempted to present a comprehensive way of designing and developing a HARS system for an e-commerce company use-case as well as giving a suite of metrics that could be used for its evaluation.

The Oxford Handbook of Grammatical Number

2021 ◽  
Keyword(s):  
Case Studies ◽  
Mental Representation ◽  
Noun Phrases ◽  
Numeral Classifiers ◽  
Number Marking ◽  
The Core ◽  
Grammatical Number ◽  
The Relationship ◽  
Linguistic Means

This volume offers an overview of current research on grammatical number in language. The chapters Part i of the handbook present foundational notions in the study of grammatical number covering the semantic analyses of plurality, the mass–count distinction, the relationship between number and quantity expressions and the mental representation of number and individuation. The core instance of grammatical number is marking for number distinctions in nominal expressions as in English the book/the books and the chapters in Part ii, Number in the nominal domain, explore morphological, semantic, and syntactic aspects of number marking within noun phrases. The contributions examine morphological marking of number the relationship between syntax and nominal number marking, and the interactions between numeral classifiers with semantic number and number marking. They also address cases of mismatches in form and meaning with respect to number displayed by lexical plurals and collective nouns. The final chapter reviews nominal number processing from the perspective of language pathologies. While number marking on nouns has been the focus of most research on number, number distinctions can also be found in the event domain. Part iii, Number in the event domain, presents an overview of different linguistic means of expressing plurality in the event domain, covering verbal plurality marking, pluractional modifiers of the form Noun preposition Noun, frequency adjectives and dependent indefinites. Part iv provides fifteen case studies examining different aspects of grammatical number marking in a range of typologically diverse languages.

scholarly journals An Efficient Algorithm for Ocean-Front Evolution Trend Recognition

2022 ◽  
Vol 14 (2) ◽  
pp. 259
Author(s):  
Yuting Yang ◽  
Kenneth Kin-Man Lam ◽  
Xin Sun ◽  
Junyu Dong ◽  
Redouane Lguensat
Keyword(s):  
Classification Accuracy ◽  
State Of The Art ◽  
Classification Algorithm ◽  
Final Decision ◽  
Ocean Fronts ◽  
Ocean Front ◽  
Novel Method ◽  
Evolution Laws ◽  
The Relationship ◽  
Evolution Trend

Marine hydrological elements are of vital importance in marine surveys. The evolution of these elements can have a profound effect on the relationship between human activities and marine hydrology. Therefore, the detection and explanation of the evolution laws of marine hydrological elements are urgently needed. In this paper, a novel method, named Evolution Trend Recognition (ETR), is proposed to recognize the trend of ocean fronts, being the most important information in the ocean dynamic process. Therefore, in this paper, we focus on the task of ocean-front trend classification. A novel classification algorithm is first proposed for recognizing the ocean-front trend, in terms of the ocean-front scale and strength. Then, the GoogLeNet Inception network is trained to classify the ocean-front trend, i.e., enhancing or attenuating. The ocean-front trend is classified using the deep neural network, as well as a physics-informed classification algorithm. The two classification results are combined to make the final decision on the trend classification. Furthermore, two novel databases were created for this research, and their generation method is described, to foster research in this direction. These two databases are called the Ocean-Front Tracking Dataset (OFTraD) and the Ocean-Front Trend Dataset (OFTreD). Moreover, experiment results show that our proposed method on OFTreD achieves a higher classification accuracy, which is 97.5%, than state-of-the-art networks. This demonstrates that the proposed ETR algorithm is highly promising for trend classification.

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