Learning French Liaison with Gradient Symbolic Representations: Errors, Predictions, Consequences

Smolensky & Goldrick (2016) first made the case for Gradient Symbolic Representations (GSRs) as the inputs to phonological grammar using the phenomena of French liaison. Under this view, many common French words are stored underlyingly with partially-activated word-final consonants, and others with gradient blends of partially-activated word-initial consonants. In this paper, we follow up some of that view's predictions and consequences, focusing on the acquisition of French liaison using GSRs. We compare our simulations of error-driven GSR learning with observed errors made by French-learning children, and find the results to be encouragingly similar. We also compare predictions about the end state of GSR learning with a pilot study reporting adult French speakers' use of liaison in nonce words, where we find a rather less good explanatory fit. The paper emphasizes the role of word and collocation frequency in the development of phonological patterns by a GSR learner, and outlines many future avenues for research.

The nature of regressions in the acquisition of phonological grammars

Children's acquisition of their L1 phonological grammar is typically understood as a gradual progression from an initial universal state towards a language-specific one, in which learners incrementally change their grammars to better approximate the target. One challenging problem for this view, however, are the many reports of 'U-shaped development' in which production temporarily regresses, diverging further from the target rather than drawing closer. Based on existing and novel analyses of longitudinal data, this paper argues that phonological regressions should not be captured directly within the normal workings of children's error-driven mechanisms for grammar learning. It also identifies a kind of regression that seems plausible but is nonetheless apparently unattested: one in which markedness constraints flip-flop over time, so that improvement on one marked structure entails regression on another. With this initial empirical base, the paper then demonstrates that an error-driven OT-like learner which stores its errors and imposes certain persistent biases can in fact easily regress in the unattested way. Section 5 discusses how OT's grammatical parallelism is in part responsible for creating the unattested regression pattern, and how a serial constraint-based grammar like Harmonic Serialism (McCarthy 2007 et seq) avoids this regression.

A Schrift to Fest Kyle Johnson

This volume of forty-three papers celebrates Kyle Johnson\u27s contribution to linguistics. Written by Johnson’s colleagues and former students, the papers touch upon topics that have defined Johnson’s career, including verb movement, ellipsis, gapping, Germanic, extraposition, quantifiers and determiners, object positions, among others.https://scholarworks.umass.edu/linguist_oapubs/1000/thumbnail.jp

Vowel but not consonant identity and the very informal English lexicon

This paper studies the phonological properties of shitgibbons, a class of insulting English compounds made up of a monosyllabic obscenity followed by a trochaic innocuous noun. Our experimental data shows that in addition to these categorical prosodic requirements, there are gradient segmental requirements: native speakers judge shitgibbons as more wellformed when their two stressed vowels are identical (e.g. shit-whistle is better than fuck-whistle), but matching word-initial consonants do not improve wellformedness. A corpus study of English compounds shows that both vowel identity and initial consonant identity are overrepresented in the lexicon. Our explanation for the mismatch between the lexicon and the experiment relies on a typological asymmetry: vowels interact across intervening consonants in many languages, but consonants do not selectively interact across other intervening consonants in this way, e.g. the two matching [f]'s in fuck-frisbee cannot be compelled to match while ignoring the intervening coda [k]. The analysis is implemented as a MaxEnt grammar, with a locality bias that prevents assigning weight to the constraint that demands initial consonant matching.

The Productive Status of Laurentian French Liaison: Variation across Words and Grammar

There are competing views in contemporary phonological theory about how to best represent processes that are pervasive, frequent, and phonologically motivated, yet still lexically sensitive. To what extent can – or should – a process that applies idiosyncratically to different morphemes, words, and even phrases, be represented in a way that allows it to generalize to novel forms? We examine this question by looking at prenominal liaison as it is used in contemporary Laurentian French, spoken in Canada. We present the results of an online production study that compares application of liaison in real vs. nonce nouns, and that considers the effect of nonce nouns’ phonological properties and morphosyntactic context on the process. We interpret our results as evidence that liaison behaviour is driven jointly by lexical representations and an abstract grammar, with properties of the real-word lexicon affecting liaison rates in nonce words. We further show that there is considerable variation in the population in the extent to which speakers produce liaison with real h-aspiré words, but that all speakers nonetheless share an understanding of what types of words are more vs. less likely to undergo liaison

Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

UNLABELLED: Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis. SIGNIFICANCE: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.The Breast Cancer Association Consortium (BCAC), the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL), and the Ovarian Cancer Association Consortium (OCAC) that contributed breast, prostate, and ovarian cancer data analyzed in this study were in part funded by Cancer Research UK [C1287/A10118 and C1287/A12014 for BCAC; C5047/A7357, C1287/A10118, C5047/A3354, C5047/A10692, and C16913/A6135 for PRACTICAL; and C490/A6187, C490/A10119, C490/A10124, C536/A13086, and C536/A6689 for OCAC]. Funding for the Collaborative Oncological Gene-environment Study (COGS) infrastructure came from: the European Community's Seventh Framework Programme under grant agreement number 223175 (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692, and C8197/A16565), the US National Institutes of Health (CA128978) and the Post-Cancer GWAS Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative (1U19 CA148537, 1U19 CA148065, and 1U19 CA148112), the US Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund [with donations by the family and friends of Kathryn Sladek Smith (PPD/RPCI.07)]. Additional financial support for contributing studies is documented under Supplementary Financial Support.This is the author accepted manuscript. The final version is available from the American Association for Cancer Research via http://dx.doi.org/10.1158/2159-8290.CD-15-122

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P &lt; 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Biases and stages in phonological acquisition

This dissertation presents Error-Selective Learning, an error-driven model of phonological acquisition in Optimality Theory which is both restrictive and gradual. Together these two properties provide a model that can derive many attested intermediate stages in phonological development, and yet also explains how learners eventually converge on the target grammar. Error-Selective Learning is restrictive because its ranking algorithm is a version of Biased Constraint Demotion (BCD: Prince and Tesar, 2004). BCD learners store their errors in a table called the Support, and use ranking biases to build the most restrictive ranking compatible with their Support. The version of BCD adopted here has three such biases: (i) one for high-ranking Markedness (Smolensky 1996) (ii) on for high-ranking OO-Faith constraints (McCarthy 1998); Hayes 2004); and (iii) one for ranking specific IO-Faith constraints above general ones (Smith 2000; Hayes 2004). Error-Selective Learning is gradual because it uses a novel mechanism for introducing errors into the Support. As errors are made they are not immediately used to learn new rankings, but rather stored temporarily in an Error Cache. Learning via BCD is only triggered once some constraint has caused too many errors to be ignored. Once learning is triggered, the learner chooses one best error in the Cache to add to the Support---an error that will cause minimal changes to the current grammar. The first main chapter synthesizes the existing arguments for this BCD algorithm, and emphasizes the necessity of the Support\u27s stored errors. The subsequent chapter presents Error-Selective Learning, using cross-linguistic examples of attested intermediate stages that can be accounted for in this approach. The third chapter compares ESL to a well-known alternative, the Gradual Learning Algorithm (GLA: Boersma, 1997; Boersma and Hayes, 2001), and argues that the GLA is overall not well-suited to learning restrictively because it does not store its errors, and because it cannot reason from errors to rankings as does the BCD. The final chapter presents an artificial language learning experiment, designed to test for high-ranking OO-faith in children\u27s grammar, whose results are consistent with the biases and stages of Error-Selective Learning.