scholarly journals Beyond plain and extra-grammatical morphology: echo-pairs in Hungarian

2020 ◽  
Author(s):  
Marton Soskuthy ◽  
Peter Racz

This paper presents an investigation of echo-pairs in Hungarian. Echo- pairs are formed by duplicating a base with an altered initial consonant and have diminutive, playful or intimate connotations (e.g. cica `cat' > cica-mica `cat.DIM'). Echo-pairs are commonly seen as an example of extra-grammatical morphology in the literature. Our goal in looking at this phenomenon is to gain a better understanding of the morphological mechanisms underlying extra-grammatical phenomena and shed new light on the distinction between plain and extra-grammatical morphology. We analyse data from (i) a collection of echo-pairs extracted from a large corpus of online texts and (ii) a large-scale online nonce-word experiment with close to 1,500 participants. Our results reveal two key phonological patterns in the data and some additional systematic variation across words and experimental stimuli. We compare two different models of morphology, the Minimal Generalisation Learner and the Generalised Context Model in terms of their ability to capture this variation. We find that echo-pair formation is best captured by lexicon-oriented models like the Generalised Context Model, but only when they rely on a structured similarity metric that encodes broader generalisations about the data. Our results do not support a clear-cut distinction between extra-grammatical and plain morphological processes, and we suggest that some of the peculiar characteristics of extra-grammatical phenomena such as echo-pair formation may simply follow from their special function and the limited set of contexts they appear in.

2020 ◽  
pp. 002383092093295
Author(s):  
Márton Sóskuthy ◽  
Péter Rácz

This paper presents an investigation of echo-pairs in Hungarian. Echo-pairs are formed by duplicating a base with an altered initial consonant and have diminutive, playful, or intimate connotations (e.g., cica [t͡sit͡sɒ] “cat” → cica-mica [t͡sit͡sɒ-mit͡sɒ] “cat.dim”). Echo-pairs are commonly seen as an example of extra-grammatical morphology in the literature. Our goal in looking at this phenomenon is to gain a better understanding of the morphological mechanisms underlying extra-grammatical phenomena and shed new light on the distinction between plain and extra-grammatical morphology. We analyze data from (a) a collection of echo-pairs extracted from a large corpus of online texts and (b) a large-scale online nonce-word experiment with close to 1,500 participants. Our results reveal two key phonological patterns in the data and some additional systematic variation across words and experimental stimuli. We compare two different models of morphology, the Minimal Generalization Learner and the Generalized Context Model, in terms of their ability to capture this variation. We find that echo-pair formation is best captured by lexicon-oriented models such as the Generalized Context Model, but only when they rely on a structured similarity metric that encodes broader generalizations about the data. Our results do not support a clear-cut distinction between extra-grammatical and plain morphological processes, and we suggest that some of the peculiar characteristics of extra-grammatical phenomena such as echo-pair formation may simply follow from their special function and the limited set of contexts in which they appear.


2013 ◽  
Vol 3 (1) ◽  
pp. 77-99 ◽  
Author(s):  
Aletta G. Dorst ◽  
W.Gudrun Reijnierse ◽  
Gemma Venhuizen

The manual annotation of large corpora is time-consuming and brings about issues of consistency. This paper aims to demonstrate how general rules for determining basic meanings can be formulated in large-scale projects involving multiple analysts applying MIP(VU) to authentic data. Three sets of problematic lexical units — chemical processes, colours, and sharp objects — are discussed in relation to the question of how the basic meaning of a lexical unit can be determined when human and non-human senses compete as candidates for the basic meaning; these analyses can therefore be considered a detailed case study of problems encountered during step 3.b. of MIP(VU). The analyses show how these problematic cases were tackled in a large corpus clean-up project in order to streamline the annotations and ensure a greater consistency of the corpus. In addition, this paper will point out how the formulation of general identification rules and guidelines could provide a first step towards the automatic detection of linguistic metaphors in natural discourse.


Author(s):  
Hugh P. Taylor

ABSTRACTOxygen isotope data are very useful in determining the source rocks of granitic magmas, particularly when used in combination with Sr, Pb, and Nd isotope studies. For example, unusually high δ18O values in magmas (δ18O> +8) require the involvement of some precursor parent material that at some time in the past resided on or near the Earth's surface, either as sedimentary rocks or as weathered or hydrothermally altered rocks. The isotopic systematics which are preserved in the Mesozoic and Cenozoic batholiths of western North America can be explained by grand-scale mixing of three broadly defined end-members: (1) oceanic island-arc magmas derived from a “depleted” (MORB-type?) source in the upper mantle (δ18O c. +6 and 87Sr/86Sr c. 0·703); (2) a high-18O (c. +13 to +17) source with a very uniform 87Sr/86Sr (c. 0·708 to 0·712), derived mainly from eugeosynclinal volcanogenic sediments and (or) hydrothermally altered basalts; and (3) a much more heterogeneous source (87Sr/86Sr c. 0·706 to 0·750, or higher) with a high δ18O (c. +9 to +15) where derived from supracrustal metasedimentary rocks and a much lower δ18O (c. +7 to +9) where derived from the lower continental crust of the craton. These end-members were successively dominant from W to E, respectively, within three elongate N–S geographic zones that can be mapped from Mexico all the way N to Idaho.18O/16O studies (together with D/H analyses) can, however, play a more important and certainly a unique role in determining the origins of the aqueous fluids involved in the formation of granitic and rhyolitic magmas. Fluid-rock interaction effects are most clear-cut when low-18O, low-D meteoric waters are involved in the isotopic exchange and melting processes, but the effects of other waters such as seawater (with a relatively high δD c. 0) can also be recognised. Because of these hydrothermal processes, rocks that ultimately undergo partial melting may exhibit isotopic signatures considerably different from those that they started with. We discuss three broad classes of potential source materials of such “hydrothermal-anatectic” granitic magmas, based mainly on water/rock (w/r), temperature (T), and the length of time (t) that fluid-rock interaction proceeds: (Type 1) epizonal systems with a wide variation in whole-rock δ18O and extreme 18O/16O disequilibrium among coexisting minerals (e.g. quartz and feldspar); (Type 2) deeper-seated and (or) longer-lived systems, also with a wide spectrum of whole-rock δ18O, but with equilibrated 18O/16O ratios among coexisting minerals; (Type 3) thoroughly homogenised and equilibrated systems with relatively uniform δ18O in all lithologies. Low-18O magmas formed by melting of rocks altered in a Type 2 or a Type 3 meteoric-hydrothermal system are the only kinds of “hydrothermal-anatectic” granitic magmas that are readily recognisable in the geological record. Analogous effects produced by other kinds of aqueous fluids may, however, be quite common, particularly in areas of extensional tectonics and large-scale rifting. The greatly enhanced permeabilities in such fractured terranes make possible the deep convective circulation of ground waters and sedimentary pore fluids. The nature and origin of low-18O magmas in the Yellowstone volcanic field and the Seychelles Islands are briefly reviewed in light of these concepts, as is the development of high-D, peraluminous magmas in the Hercynian of the Pyrenees.


2019 ◽  
Vol 30 (5) ◽  
pp. 682-696 ◽  
Author(s):  
Amy Orben ◽  
Andrew K. Przybylski

The notion that digital-screen engagement decreases adolescent well-being has become a recurring feature in public, political, and scientific conversation. The current level of psychological evidence, however, is far removed from the certainty voiced by many commentators. There is little clear-cut evidence that screen time decreases adolescent well-being, and most psychological results are based on single-country, exploratory studies that rely on inaccurate but popular self-report measures of digital-screen engagement. In this study, which encompassed three nationally representative large-scale data sets from Ireland, the United States, and the United Kingdom ( N = 17,247 after data exclusions) and included time-use-diary measures of digital-screen engagement, we used both exploratory and confirmatory study designs to introduce methodological and analytical improvements to a growing psychological research area. We found little evidence for substantial negative associations between digital-screen engagement—measured throughout the day or particularly before bedtime—and adolescent well-being.


2013 ◽  
Vol 53 (2) ◽  
pp. 478 ◽  
Author(s):  
Craig Styan ◽  
Travis Elsdon ◽  
Michael Marnane ◽  
Michelle Carey ◽  
Ceri Morgan ◽  
...  

Monitoring required by regulators as part of environmental approvals in Australia has become increasingly complex and is sometimes viewed simply as the cost of developing projects, particularly in recent years. Monitoring programs, however, provide an important opportunity to learn about complex ecological systems and how they fare during large-scale disturbances, potentially with both project-specific and industry-wide benefits. During the Chevron-operated Gorgon Project’s major-capital dredging program, an unprecedented amount of information was collected about water quality and coral. Water quality was monitored continuously at 36 sites and the condition of nearly 1,600 individually labelled corals measured fortnightly during 18 months. While daily and fortnightly reports were provided for compliance purposes, a significant investment was also made by Chevron to a Predictive Links investigation, to re-analyse data to gain a better understanding between water quality and sedimentation with changes in coral condition. This additional investment resulted in a number of important research findings including revised water-quality thresholds for maintaining coral health that are based uniquely on field measurements during an actual dredging program. Subsequently, when environmental approvals were being sought for the nearby Wheatstone project, Chevron had a much better understanding of dredging and its potential effects on coral reefs in the region. The Wheatstone program now incorporates these data and ideas, and has allowed Chevron to have greater confidence in the dredging program being proposed, the likely impacts on coral assemblages, and how these should be managed and monitored.


2012 ◽  
Vol 65 (12) ◽  
pp. 1655 ◽  
Author(s):  
Pascal Gerbaux ◽  
Curt Wentrup

The nature of the m/z 104 ions formed by loss of CO2 or Ph-O-NCO from the molecular ions of phthalic anhydride, N-phenoxyphthalimide, and N-phenoxyisophthalimide was investigated by means of ion/molecule reactions with acetone. This allows a clear-cut differentiation of the so-obtained ions from the isomeric molecular ions of cyclopentadienylideneketene. The different intrinsic chemical reactivities of ionized cyclopentadienylideneketene and its distonoid isomer towards neutral acetone were investigated on a large-scale hybrid mass spectrometer and confirmed by density functional theory calculations.


2017 ◽  
Author(s):  
Scott W. Linderman ◽  
Samuel J. Gershman

AbstractComputational neuroscience is, to first order, dominated by two approaches: the “bottom-up” approach, which searches for statistical patterns in large-scale neural recordings, and the “top-down” approach, which begins with a theory of computation and considers plausible neural implementations. While this division is not clear-cut, we argue that these approaches should be much more intimately linked. From a Bayesian perspective, computational theories provide constrained prior distributions on neural data—albeit highly sophisticated ones. By connecting theory to observation via a probabilistic model, we provide the link necessary to test, evaluate, and revise our theories in a data-driven and statistically rigorous fashion. This review highlights examples of this theory-driven pipeline for neural data analysis in recent literature and illustrates it with a worked example based on the temporal difference learning model of dopamine.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Camiel Hamans

Abstract This paper discusses morphological borrowing from American-English to Dutch. Three processes of non-morphemic word formation are studied: embellished clipping (Afro from African), libfixing (extracting segments from opaque wordforms such -topia from utopia and -(po)calypse from apocalypse) and blending (stagflation < stagnation + inflation). It will be shown that the borrowing of these processes started with borrowing of English lexical material followed by a process of reinterpretation, which subsequently led to the (re-)introduction of the processes in Dutch. Therefore, the traditional distinction between MAT and PAT borrowing turns out to be inadequate. Instead of a clear-cut difference between lexical and morphological borrowing a borrowing cline will be proposed. The respective ends of this cline are MAT and PAT.


2021 ◽  
Author(s):  
Anahita Talwar ◽  
Quentin Huys ◽  
Francesca Cormack ◽  
Jonathan P Roiser

AbstractAttentional set shifting refers to the ease with which the focus of attention is directed and switched. Cognitive tasks such as CANTAB IED reveal great variation in set shifting ability in the general population, with notable impairments in those with psychiatric diagnoses. The attentional and learning processes underlying this cognitive ability, and how they lead to the observed variation remain unknown. To directly test this, we used a modelling approach on two independent large-scale online general-population samples performing CANTAB IED and psychiatric symptom assessment. We found a hierarchical model that learnt both feature values and dimension attention best explained the data, and that compulsive symptoms were associated with slower learning and higher attentional bias to the first relevant stimulus dimension. This data showcase a new methodology to analyse data from the CANTAB IED task, and suggest a possible mechanistic explanation for the variation in set shifting performance, and its relationship to compulsive symptoms.


1977 ◽  
Vol 18 (1) ◽  
pp. 9-34 ◽  
Author(s):  
Gordon Wells

Tough's recently published research on children's use of language, which forms the basis for a large-scale curriculum project, sets out to demonstrate a strong relationship between complexity of language use and social class. This paper1 reports a partial replication of Tough's approach, based on data collected in the Bristol longitudinal study of language development. The main findings are that, using Tough's scheme for analysing language, there is no clear-cut relationship between language use and either social class or educational success after one year of schooling. The discrepancies between the results of the two studies are attributed to (a) the distortion introduced into Tough's study by the comparison of polarised social-class groups, and (b) the non-interactive conception of communication that underlies her analysis of language use. It is suggested that what differentiates children in their preparedness for school is the extent of their experience of ‘negotiation of meaning’ through language, and that such experience can be found in homes from all social classes.


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