Accurate autocorrelation modeling substantially improves fMRI reliability.

Given the recent controversies in some neuroimaging statistical methods, we compare the most frequently used functional Magnetic Resonance Imaging (fMRI) analysis packages: AFNI, FSL and SPM, with regard to temporal autocorrelation modeling. This process, sometimes known as pre-whitening, is conducted in virtually all task fMRI studies. Here, we employ eleven datasets containing 980 scans corresponding to different fMRI protocols and subject populations. We found that autocorrelation modeling in AFNI, although imperfect, performed much better than the autocorrelation modeling of FSL and SPM. The presence of residual autocorrelated noise in FSL and SPM leads to heavily confounded first level results, particularly for low-frequency experimental designs. SPM's alternative pre-whitening method, FAST, performed better than SPM's default. The reliability of task fMRI studies could be improved with more accurate autocorrelation modeling. We recommend that fMRI analysis packages provide diagnostic plots to make users aware of any pre-whitening problems

Conversational Grammar- Feminine Grammar? A Sociopragmatic Corpus Study

One area in language and gender research that has so far received only little attention is the extent to which the sexes make use of what recent corpus research has termed “conversational grammar.” The author’s initial findings have suggested that the majority of features distinctive of conversational grammar may be used predominantly by female speakers. This article reports on a study designed to test the hypothesis that conversational grammar is “feminine grammar” in the sense that women’s conversational language is more adapted to the conversational situation than men’s. Based on data from the conversational subcorpus of the British National Corpus and following the situational framework for the description of conversational features elaborated in the author’s previous research, features distinctive of conversational grammar are grouped into five functional categories and their normed frequencies compared across the sexes. The functional categories distinguish features that can be seen as adaptations to constraints set by the situational factors of (1) Shared Context, (2) Co-Construction, (3) Real-Time Processing, (4) Discourse Management, and (5) Relation Management. The study’s results, described in detail in relation to the biological category of speaker sex and cultural notions of gender, suggest that the feminine grammar hypothesis is valid

An Ancient Relation between Units of Length and Volume Based on a Sphere

The modern metric system defines units of volume based on the cube. We propose that the ancient Egyptian system of measuring capacity employed a similar concept, but used the sphere instead. When considered in ancient Egyptian units, the volume of a sphere, whose circumference is one royal cubit, equals half a hekat. Using the measurements of large sets of ancient containers as a database, the article demonstrates that this formula was characteristic of Egyptian and Egyptian-related pottery vessels but not of the ceramics of Mesopotamia, which had a different system of measuring length and volume units

Language for Specific Purposes and Corpus-based Pedagogy

This chapter describes how corpus-based pedagogies are used for teaching and learning language for specific purposes (LSP). Corpus linguistics (CL) refers to the study of large quantities of authentic language using computer-assisted methods, which form the basis for computer-assisted language learning (CALL) that uses corpora for reference, exploration, and interactive learning. The use of corpora as reference resources to create LSP materials is described. Direct student uses of corpora are illustrated by three approaches to data-driven learning (DDL) where students engage in hands-on explorations of texts. A combination of indirect and direct corpus applications is shown in an illustration of interactive CALL technologies, including an example of an inclusive corpus-based tool for genre-based writing pedagogy. The chapter concludes with potential prospects for future developments in LSP

‘Medical Men’ and ‘Mad Women’ - A Study into the Frequency of Words through Collocations

Frequent lexical patterns can explain how language, society and culture interact. In this paper, we analyze the most frequent adjectival collocates which precede lemmas WOMAN and MAN, by searching the node words woman, women, man and men in the British National Corpus (BNC) using the statistical procedure list. The primary postulate is that frequent collocational patterns reveal common societal and cultural concepts. The research is based on Sinclair’s theory about how frequency points to what is typical and central in a language (17). Furthermore, Stubbs’s understanding of a community’s value system being built up and maintained by the recurrent use of particular phrasings in texts (Words and Phrases 166) is explored through the repetition of lexical patterns in the corpus, thus exposing dominant cultural models. Keywords: WOMAN, MAN, BNC, frequency, collocates, language, society, cultureMichael Stubbs’s principle that “language in use transmits the culture,” by which he provides his understanding of the relations between form and meaning (Text 43), is a good foundation for the study of the frequency of words by means of electronic corpora. Since meaning is language in use, electronic corpora facilitate just that – an analysis of raw, unaltered data, as clearly stated by Stubbs’s second principle concerning language being studied in “actual, attested, authentic instances of use” (Text 28)

Using Corpora in Translation

International audienc

New Trends in Corpora and Language Learning

This book provides an up-to-date snapshot of recent research and developments in the use of corpora for language learning and teaching. It is divided into three parts. Part I focusses on innovative uses of corpora by language teachers and learners. These cover the world's first corpus-based TV program for the teaching of English conversation, as well as corpus-based approaches to the teaching of EAP, cultural studies and translation. Part II focuses on new corpus-based tools for LSP learning. Part III illustrates research findings from corpora consisting of language learner data and discusses their implications for language teaching and learning. It will appeal to scholars in both language teaching and learning and corpus and computational linguistics