Tolkien was not only a successful author of one of the most complex fantasy lore available in Western literature, but he was also a gifted philologist whose interests ranged from the most disparaged ...languages, such as Germanic languages, Finnish, Celtic languages and also Latin and Greek. For the creation of his glottopoietic masterpieces – Quenya and Sindarin – he followed an a posteriori process, moving from the templates represented by natural languages, such as Finnish, Germanic languages, Welsh and also Classical languages. Focussing on Quenya, in particular, it is noticeable how this invented language possesses a few relevant features that makes it similar to Latin not only according to the narrowest linguistic perspective but also according to a broader perspective, including the sociolinguistic viewpoint. Some of these features have been summarized and presented in this paper, showing how Tolkien not only reproduced – according to his phonoaesthetic taste – linguistic feature that were closer to Latin than to any other language, but he also reproduced and mimicked the relationships that Latin had with other languages during different periods of its existence.
It is widely acknowledged that opaque orthographies place additional demands on learning, often requiring many years to fully acquire. It is less widely recognized, however, that such opacity may ...offer certain benefits in the context of reading. For example, heterographic homophones such as ⟨knight⟩ and ⟨night⟩ (words that sound the same but which are spelled differently) impose additional costs in learning but reduce ambiguity in reading. Here, we consider the possibility that—left to evolve freely—writing systems will sometimes choose to forego some simplicity for the sake of informativeness when there is functional pressure to do so. We investigate this hypothesis by simulating the evolution of orthography as it is transmitted from one generation to the next, both with and without a communicative pressure for ambiguity avoidance. In addition, we consider two mechanisms by which informative heterography might be selected for: differentiation, in which new spellings are created to differentiate meaning (e.g., ⟨lite⟩ vs. ⟨light⟩), and conservation, in which heterography arises as a byproduct of sound change (e.g., ⟨meat⟩ vs. ⟨meet⟩). Under pressure from learning alone, orthographic systems become transparent, but when combined with communicative pressure, they tend to favor some additional informativeness. Nevertheless, our findings also suggest that, in the long term, simpler, transparent spellings may be preferred in the absence of top-down explicit teaching.
Learning to read in English Philip H. K. Seymour; Lynne G. Duncan
Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας,
10/2020, Letnik:
8, Številka:
3
Journal Article
It is generally well accepted that proficient reading requires the assimilation of myriad statistical regularities present in the writing system, including in particular the correspondences between ...words' orthographic and phonological forms. There is considerably less agreement, however, as to how to quantify these regularities. Here we present a comprehensive approach for this quantification using tools from Information Theory. We start by providing a glossary of the relevant information-theoretic metrics, with simplified examples showing their potential in assessing orthographic-phonological regularities. We specifically highlight the flexibility of our approach in quantifying information under different contexts (i.e., context-independent and dependent readings) and in different types of mappings (e.g., orthography-to-phonology and phonology-to-orthography). Then, we use these information-theoretic measures to assess real-world orthographic-phonological regularities of 10,093 mono-syllabic English words and examine whether these measures predict inter-item variability in accuracy and response times using available large-scale datasets of naming and lexical decision tasks. Together, the analyses demonstrate how information-theoretical measures can be used to quantify orthographical-phonological correspondences, and show that they capture variance in reading performance that is not accounted for by existing measures. We discuss the similarities and differences between the current framework and previous approaches as well as future directions towards understanding how the statistical regularities embedded in a writing system impact reading and reading acquisition.
Whether the simple view of reading (SVR) as incorporated in the componential model of reading (CMR) is applicable to other orthographies than English was explored in this study. Spanish, with ...transparent orthography and Chinese, with opaque orthography were selected because of their diverse characteristics. The first part reports a study of students from grades 2 and 3, whose home language and medium of instruction was Spanish, and were administered tests of decoding, listening, and reading comprehension. A comparison group of 49 children from Grade 2, 54 children from Grade 3, and 55 children from Grade 4, whose home language and instruction was English, were also administered tests of decoding, listening, and reading comprehension. Multiple regression analysis showed that approximately 60% of the variance in reading comprehension of Spanish participants and 50% of the variance in reading comprehension of English participants were explained by decoding and listening comprehension. Furthermore, the performance of third grade Spanish participants resembled that of fourth grade English-speaking participants. In the second study, 102 Chinese students from Grade 2 and 106 students from Grade 4 were administered tasks of Chinese character recognition, reading fluency, listening, and reading comprehension. Multiple regression analyses showed character recognition and listening comprehension accounted for 25% and 42% of the variance in Chinese reading comprehension at Grades 2 and 4 respectively. These results indicate that the simple view of reading is applicable to writing systems other than that of English.
Given the increasing number of neuroimaging publications, the automated knowledge extraction on brain-behavior associations by quantitative meta-analyses has become a highly important and rapidly ...growing field of research. Among several methods to perform coordinate-based neuroimaging meta-analyses, Activation Likelihood Estimation (ALE) has been widely adopted. In this paper, we addressed two pressing questions related to ALE meta-analysis: i) Which thresholding method is most appropriate to perform statistical inference? ii) Which sample size, i.e., number of experiments, is needed to perform robust meta-analyses? We provided quantitative answers to these questions by simulating more than 120,000 meta-analysis datasets using empirical parameters (i.e., number of subjects, number of reported foci, distribution of activation foci) derived from the BrainMap database. This allowed to characterize the behavior of ALE analyses, to derive first power estimates for neuroimaging meta-analyses, and to thus formulate recommendations for future ALE studies. We could show as a first consequence that cluster-level family-wise error (FWE) correction represents the most appropriate method for statistical inference, while voxel-level FWE correction is valid but more conservative. In contrast, uncorrected inference and false-discovery rate correction should be avoided. As a second consequence, researchers should aim to include at least 20 experiments into an ALE meta-analysis to achieve sufficient power for moderate effects. We would like to note, though, that these calculations and recommendations are specific to ALE and may not be extrapolated to other approaches for (neuroimaging) meta-analysis.
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