ABSTRACT
Although all healthy adults have advanced syntactic processing abilities in their native language, psycholinguistic studies report extensive variation among them. However, very few tests were developed to assess this variation, presumably, because when adult native speakers focus on syntactic processing, not being distracted by other tasks, they usually reach ceiling performance. We developed a Sentence Comprehension Test for the Russian language aimed to fill this gap. The test captures variation among participants and does not show ceiling effects. The Sentence Comprehension Test includes 60 unambiguous grammatically complex sentences and 40 control sentences that are of the same length, but are syntactically simpler. Every sentence is accompanied by a comprehension question targeting potential syntactic processing problems and interpretation errors associated with them. Grammatically complex sentences were selected on the basis of the previous literature and then tested in a pilot study. As a result, six constructions that trigger the largest number of errors were identified. For these constructions, we also analyzed which ones are associated with the longest word-by-word reading times, question answering times and the highest error rates. These differences point to different sources of syntactic processing difficulties and can be relied upon in subsequent studies. We conducted two experiments to validate the final version of the test. Getting similar results in two independent experiments, as well as in two presentation modes (reading and listening modes are compared in Experiment 2) confirms its reliability. In Experiment 1, we also showed that the results of the test correlate with the scores in the verbal working memory span test.
ABSTRACT
Scientific studies of language behavior need to grapple with a large diversity of languages in the world and, for reading, a further variability in writing systems. Yet, the ability to form meaningful theories of reading is contingent on the availability of cross-linguistic behavioral data. This paper offers new insights into aspects of reading behavior that are shared and those that vary systematically across languages through an investigation of eye-tracking data from 13 languages recorded during text reading. We begin with reporting a bibliometric analysis of eye-tracking studies showing that the current empirical base is insufficient for cross-linguistic comparisons. We respond to this empirical lacuna by presenting the Multilingual Eye-Movement Corpus (MECO), the product of an international multi-lab collaboration. We examine which behavioral indices differentiate between reading in written languages, and which measures are stable across languages. One of the findings is that readers of different languages vary considerably in their skipping rate (i.e., the likelihood of not fixating on a word even once) and that this variability is explained by cross-linguistic differences in word length distributions. In contrast, if readers do not skip a word, they tend to spend a similar average time viewing it. We outline the implications of these findings for theories of reading. We also describe prospective uses of the publicly available MECO data, and its further development plans.
Subject(s)
Reading , HumansABSTRACT
In this article, we present StimulStat - a lexical database for the Russian language in the form of a web application. The database contains more than 52,000 of the most frequent Russian lemmas and more than 1.7 million word forms derived from them. These lemmas and forms are characterized according to more than 70 properties that were demonstrated to be relevant for psycholinguistic research, including frequency, length, phonological and grammatical properties, orthographic and phonological neighborhood frequency and size, grammatical ambiguity, homonymy and polysemy. Some properties were retrieved from various dictionaries and are presented collectively in a searchable form for the first time, the others were computed specifically for the database. The database can be accessed freely at http://stimul.cognitivestudies.ru .
