By Susanne Winkler, Sam Featherston
The contributions to The culmination of Empirical Linguistics. quantity 1: method exhibit why the data-driven technique makes for a examine surroundings that is fast-moving and democratic: technological swap has made the assets of linguistic facts effectively available. those contributions exhibit the tools either specialist and pupil linguists are utilizing to collect extra facts extra simply than earlier than.
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The aim of this quantity is to provide fresh learn within the box of the purchase of sensible literacy and its precursors. the amount goals to trap the cutting-edge during this swiftly increasing box. An try out is made to elucidate the imprecise and infrequently inconsistent definitions of sensible literacy from the viewpoint of improvement.
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Additional info for The Fruits of Empirical Linguistics 1: Process
Total reading time is the sum of all Eye movements and quantiﬁer scope 35 ﬁxations on a region. Regressions-out is the proportion of times a regression was launched from a region. Finally, regressions-in is the proportion of times a regression was made back into the region. While ﬁrst-pass reading time and regression out are taken to reﬂect immediate processing, total time and regression in are taken to reﬂect late processes like reanalysis. Reading time data were subjected to 2 × 2 repeated measures ANOVAs with the within factors NP-type and distributivity.
3. Materials and subjects 72 items were written in six conditions each. Each item was paired with two displays: one used with the quantiﬁer conditions and with Control B, the other used with Control A. g. names), letters, or numbers. In addition, 70 ﬁllers were constructed. They included other numerals (two or three) or other quantiﬁers (both cars, only one animal) instead of exactly one, or other kinds of displays. Six presentation lists were created according to a Latin square design. Two pseudo-random orders were generated, making sure that adjacent experimental items belonged to different conditions.
1, 1–27 Hanks, Patrick 1996 Contextual Dependency and Lexical Sets. International Journal of Corpus Linguistics, 1 (1): 75–98. Linguistic choices vs. probabilities 23 Harrell, Frank E. 2001 Regression Modeling Strategies. With Applications to Linear Models, Logistic Regression and Survival Analysis. New York: SpringerVerlag. , and Stanley Lemeshow 2000 Applied Regression Analysis (2nd edition). New York: Wiley. Inkpen, Diana 2004 Building a Lexical Knowledge-Base of Near-Synonym Differences. Ph.