How morphological structure affects phonetic realisation in English compound nouns

Many studies have shown that syntagmatic and paradigmatic aspects of morphological structure may have an impact on the phonetic realisation of complex words (e.g. Cohen 2014a,b; Kuperman et al. 2007; Lee-Kim et al. 2013; Lõo et al. 2018; Plag et al. 2017; Schuppler et al. 2012; Smith et al. 2012; Sproat and Fujimura 1993; Zimmermann 2016, among many others). The majority of these studies have been concerned with affixes, often focusing on the acoustic properties of segments at a morphological boundary. The present study extends this line of investigation to compounds, exploring the extent to which consonant duration at compound-internal boundaries in English is dependent on morphological structure. Three competing hypotheses about the relationship between fine phonetic detail and morphological structure are tested. According to the Segmentability Hypothesis, greater morphological segmentability, i.e. a stronger morphological boundary, leads to acoustic lengthening (Ben Hedia and Plag 2017; Hay 2003; Plag and Ben Hedia 2018). The Informativity Hypothesis, on the other hand, states that higher informativity leads to lengthening (e.g. Jurafsky et al. 2001; van Son and Pols 2003). Finally, the Paradigmatic Support Hypothesis says that stronger paradigmatic support leads to lengthening (Cohen 2014b; Kuperman et al. 2007). To test these hypotheses, an experimental study was carried out using 62 compound types taken from the British National Corpus. The compounds were spoken by 30 speakers, yielding more than 1500 acoustic tokens overall. The data provide no support for the Segmentability Hypothesis, and only limited support for the Informativity Hypothesis. In contrast, the Paradigmatic Support Hypothesis makes correct predictions: consonant duration at compound-internal boundaries is positively correlated with the probability of the relevant consonant following the first noun, and the duration of compound-internal geminate consonants is negatively correlated with the family size of the first noun. In other words, longer durations are associated with lower paradigmatic diversity

Bilingual and multilingual mental lexicon: a modeling study with Linear Discriminative Learning

This study addresses whether there is anything special about learning a third language, as compared to learning a second language, that results solely from the order of acquisition. We use a computational model based on the mathematical framework of Linear Discriminative Learning to explore this question for the acquisition of a small trilingual vocabulary, with English as L1, German or Mandarin as L2, and Mandarin or Dutch as L3. Our simulations reveal that when qualitative differences emerge between the learning of a first, second and third language, these differences emerge from distributional properties of the particular languages involved rather than the order of acquisition per se, or any difference in learning mechanism. One such property is the number of homophones in each language, since within-language homophones give rise to errors in production. Our simulations also show the importance of suprasegmental information in determining the kinds of production errors made

Lexical deconstruction—review of Giegerich, H., Lexical structures: Compounding and the modules of grammar, Edinburgh Studies in Theoretical Linguistics, vol. 1

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Modelling semantic transparency

We present models of semantic transparency in which the perceived trans- parency of English noun–noun compounds, and of their constituent words, is pre- dicted on the basis of the expectedness of their semantic structure. We show that such compounds are perceived as more transparent when the first noun is more frequent, hence more expected, in the language generally; when the compound semantic rela- tion is more frequent, hence more expected, in association with the first noun; and when the second noun is more productive, hence more expected, as the second ele- ment of a noun–noun compound. Taken together, our models of compound and con- stituent transparency lead us to two conclusions. Firstly, although compound trans- parency is a function of the transparencies of the constituents, the two constituents differ in the nature of their contribution. Secondly, since all the significant predictors in our models of compound transparency are also known predictors of processing speed, perceived transparency may itself be a reflex of ease of processing

Evaluation of a Web-Based Cognitive Rehabilitation Program in Cancer Survivors Reporting Cognitive Symptoms After Chemotherapy

Purpose: Cognitive impairment is reported frequently by cancer survivors. There are no proven treatments. We evaluated a cognitive rehabilitation program (Insight) and compared it with standard care in cancer survivors self-reporting cognitive symptoms. Patients and Methods: We recruited adult cancer survivors with a primary malignancy (excluding central nervous system malignancies) who had completed three or more cycles of adjuvant chemotherapy in the previous 6 to 60 months and reported persistent cognitive symptoms. All participants received a 30-minute telephone consultation and were then randomly assigned to the 15-week, home-based intervention or to standard care. Primary outcome was self-reported cognitive function (Functional Assessment of Cancer Therapy Cognitive Function [FACT-COG] perceived cognitive impairment [PCI] subscale): difference between groups after intervention (T2) and 6 months later (T3). Results: A total of 242 participants were randomly assigned: median age, 53 years; 95% female. The primary outcome of difference in FACT-COG PCI was significant, with less PCI in the intervention group at T2 (P < .001). This difference was sustained at T3 (P < .001). At T2, there was a significant difference in all FACT-COG subscales, favoring the intervention. Neuropsychological results were not significantly different between the groups at T2 or T3. There were significantly lower levels of anxiety/depression and fatigue in the intervention group at T2. There were significant improvements in stress in the intervention group at both time points. There was no significant difference in quality of life between the groups at T2, but the intervention group had better quality of life at T3. Conclusion: The intervention, Insight, led to improvements in cognitive symptoms compared with standard care. To our knowledge, this is the first large randomized controlled trial showing an improvement in self-reported cognitive function in cancer survivors, indicating that this intervention is a feasible treatment.Supported by the Cancer Council New South Wales, Friends of the Mater Foundation, a Cancer Institute New South Wales Clinical Fellowship (V.J.B.), a Clinical Oncology Society of Australia/Roche Hematology Oncology Targeted Therapies Fellowship (V.J.B.), a Pfizer Cancer Research Grant (V.J.B.), and by the National Breast Cancer Foundation (J.L.V.)

Practitioner\u27s Guide to Technology, Pedagogy, and Content Knowledge (TPACK): Rich Media Cases of Teacher Knowledge

The goal of the TPACK Practitioners Guide is simple--to offer exemplary cases of technology integration efforts that result in curriculum-based student learning in each of the following nine content areas and grade level contexts: Elementary Science, Elementary Math, Elementary Social Studies, Elementary Reading, Middle School Language Arts, Secondary Science, Secondary Math, Secondary Social Studies, and, Secondary English.https://scholarworks.wm.edu/book/1000/thumbnail.jp

High-resolution observations of low-luminosity gigahertz-peaked spectrum and compact steep-spectrum sources

© 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. We present very long baseline interferometry observations of a faint and low-luminosity (L 1.4 GHz < 10 27 W Hz -1 ) gigahertz-peaked spectrum (GPS) and compact steep-spectrum (CSS) sample. We select eight sources from deep radio observations that have radio spectra characteristic of a GPS or CSS source and an angular size of Φ <~ 2 arcsec, and detect six of them with the Australian Long Baseline Array. We determine their linear sizes, and model their radio spectra using synchrotron self-absorption (SSA) and free-free absorption (FFA) models. We derive statistical model ages, based on a fitted scaling relation, and spectral ages, based on the radio spectrum, which are generally consistent with the hypothesis that GPS and CSS sources are young and evolving. We resolve the morphology of one CSS source with a radio luminosity of 10 2 5WHz -1 , and find what appear to be two hotspots spanning 1.7 kpc. We find that our sources follow the turnover-linear size relation, and that both homogeneous SSA and an inhomogeneous FFA model can account for the spectra with observable turnovers. All but one of the FFA models do not require a spectral break to account for the radio spectrum, while all but one of the alternative SSA and power-law models do require a spectral break to account for the radio spectrum. We conclude that our low-luminosity sample is similar to brighter samples in terms of their spectral shape, turnover frequencies, linear sizes, and ages, but cannot test for a difference in morphology

The Optimal Study: Describing the Key Components of Optimal Health Care Delivery to UK Care Home Residents: A Research Protocol

Long-term institutional care in the United Kingdom is provided by care homes. Residents have prevalent cognitive impairment and disability, have multiple diagnoses, and are subject to polypharmacy. Prevailing models of health care provision (ad hoc, reactive, and coordinated by general practitioners) result in unacceptable variability of care. A number of innovative responses to improve health care for care homes have been commissioned. The organization of health and social care in the United Kingdom is such that it is unlikely that a single solution to the problem of providing quality health care for care homes will be identified that can be used nationwide. Realist evaluation is a methodology that uses both qualitative and quantitative data to establish an in-depth understanding of what works, for whom, and in what settings. In this article we describe a protocol for using realist evaluation to understand the context, mechanisms, and outcomes that shape effective health care delivery to care home residents in the United Kingdom. By describing this novel approach, we hope to inform international discourse about research methodologies in long-term care settings internationally

Citizen science reveals widespread negative effects of roads on amphibian distributions

Landscape structure is important for shaping the abundance and distribution of amphibians, but prior studies of landscape effects have been species or ecosystem-specific. Using a large-scale, citizen science-generated database, we examined the effects of habitat composition, road disturbance, and habitat split (i.e. the isolation of wetland from forest by intervening land use) on the distribution and richness of frogs and toads in the eastern and central United States. Undergraduates from nine biology and environmental science courses collated occupancy data and characterized landscape structure at 1617 sampling locations from the North American Amphibian Monitoring Program. Our analysis revealed that anuran species richness and individual species distributions were consistently constrained by both road density and traffic volume. In contrast, developed land around wetlands had small, or even positive effects on anuran species richness and distributions after controlling for road effects. Effects of upland habitat composition varied among species, and habitat split had only weak effects on species richness or individual species distributions. Mechanisms underlying road effects on amphibians involve direct mortality, behavioral barriers to movement, and reduction in the quality of roadside habitats. Our results suggest that the negative effects of roads on amphibians occur across broad geographic regions, affecting even common species, and they underscore the importance of developing effective strategies to mitigate the impacts of roads on amphibian populations