On the Connection Between Language Change and Language Processing.

Previous studies provided evidence for a connection between language processing and language change. We add to these studies with an exploration of the influence of lexical-distributional properties of words in orthographic space, semantic space, and the mapping between orthographic and semantic space on the probability of lexical extinction. Through a binomial linear regression analysis, we investigated the probability of lexical extinction by the first decade of the twenty-first century (2000s) for words that existed in the first decade of the nineteenth-century (1800s) in eight data sets for five languages: English, French, German, Italian, and Spanish. The binomial linear regression analysis revealed that words that are more similar in form to other words are less likely to disappear from a language. By contrast, words that are more similar in meaning to other words are more likely to become extinct. In addition, a more consistent mapping between form and meaning protects a word from lexical extinction. A nonlinear time-to-event analysis furthermore revealed that the position of a word in orthographic and semantic space continues to influence the probability of it disappearing from a language for at least 200 years. Effects of the lexical-distributional properties of words under investigation here have been reported in the language processing literature as well. The results reported here, therefore, fit well with a usage-based approach to language change, which holds that language change is at least to some extent connected to cognitive mechanisms in the human brain.

Is learning a logographic script easier than reading an alphabetic script for German children with dyslexia?

PURPOSE: Developmental dyslexia in alphabetic languages (DD) is characterized by a phonological deficit. Since logographic scripts rely predominantly on visual and morphological processing, reading performance in DD can be assumed to be less impaired when reading logographic scripts. METHODS: 40 German-speaking children (18 with DD, 22 not reading-impaired-group C; 9-11 years) received Chinese lessons. Eye movements (EM) were recorded during naming single alphabetic words, pictures (confrontational) and Chinese characters to be named in German and Chinese. The main outcome variables were: Articulation latency, numbers and durations of fixations. Quality of life (QoL) was assessed by questionnaires. RESULTS: While reading alphabetic words, articulation latencies and numbers of fixations were significantly higher for group DD than for group C (AL-DD = 1.13, AL-C = 0.84, p< .001; FN-DD = 3.50; FN-C = 2.00, p< .001). For naming pictures and Chinese characters in German and in Chinese, no significant group differences were found for any of the EM variables. The percentage of correct answers was high for German naming (DD = 86.67%, C = 95.24%; p = .015) and lower for Chinese naming in both groups, but significantly lower in group DD, especially for Chinese naming (DD = 56.67%, C: 83.77%; p = .003). QoL differed between groups from the children's perspective only at posttest. Parents of group DD perceived their children`s QoL to be lower compared with parents of group C at pre- and posttest. CONCLUSIONS: Children with dyslexia performed as well as group C during naming Chinese characters in German and in Chinese regarding their EM variables, presumably because they processed Chinese characters by the visuo-spatial pathway with direct access to the semantic system. However, the significantly lower percentage of correct answers especially during Chinese naming showed that group DD had more difficulties naming Chinese characters than group C, which could be attributed to their phonological deficit, among other factors. TRIAL REGISTRATION: German clinical trials register (DRKS00015697).

A word or two about nonwords: Frequency, semantic neighborhood density, and orthography-to-semantics consistency effects for nonwords in the lexical decision task.

For the most part, the effects of lexical-distributional properties of words on visual word recognition are well-established. More uncertainty remains, however, about the influence of these properties on lexical processing for nonwords. The work presented here investigates the mechanisms that guide nonword processing through an analysis of lexical decision latencies for 18,547 words and 27,079 nonwords in the British Lexicon Project (Keuleers, Lacey, Rastle, & Brysbaert, 2012) using piecewise generalized mixed models (pamms; Bender, Groll, & Scheipl, 2018; Bender & Scheipl, 2018; Bender, Scheipl, Hartl, Day, & Küchenhoff, 2018). The pamm analysis of the data revealed 2 novel effects for nonwords in the lexical-decision task. First, whereas previous studies reported effects of base word frequency, the current study is the first to document a true nonword frequency effect. Second, we report effects of semantic neighborhood density and orthography-to-semantics consistency; not only for words, but also for nonwords. The effects of frequency, semantic neighborhood density and orthography-to-semantics consistency are facilitatory for words, but inhibitory for nonwords. The pamm analysis offers insights into the temporal development of the effects of lexical-distributional variables that are not available through more traditional analysis techniques and that shed new light on lexical processing in visual word recognition tasks. The implications of the reported results for models of visual word recognition are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The role of information theory for compound words in Mandarin Chinese and English.

We investigate the role of information-theoretic measures for compound word reading in two languages: Mandarin Chinese and English. For each language, we report the results of two analyses: a time-to-event analysis using piece-wise additive mixed models (PAMMs) and a causal inference analysis with causal additive models (CAMs). We use the PAMM analyses to gain insight into the temporal profile of the effects of information-theoretic measures in the word naming task. For both English and Mandarin Chinese, we report early effects of the entropy of both constituents, as well as temporally widespread effects of point-wise mutual information (PMI). The CAM analyses provide further insight into the relations between lexical-distributional variables. The image that emerges from the CAM analyses is that the information-theoretic measures entropy and PMI are embedded in a carefully balanced system in which lexical-distributional properties that lead to processing difficulties are offset by lexical-distributional properties that guarantee successful communication. The information-theoretic measures have a central position in this system, and are causally influenced not only by frequency, but also by the effects of other lower-level lexical-distributional variables such as visual complexity, and phonology to orthography consistency.

Chinese lexical database (CLD) : A large-scale lexical database for simplified Mandarin Chinese.

We present the Chinese Lexical Database (CLD): a large-scale lexical database for simplified Chinese. The CLD provides a wealth of lexical information for 3913 one-character words, 34,233 two-character words, 7143 three-character words, and 3355 four-character words, and is publicly available through http://www.chineselexicaldatabase.com . For each of the 48,644 words in the CLD, we provide a wide range of categorical predictors, as well as an extensive set of frequency measures, complexity measures, neighborhood density measures, orthography-phonology consistency measures, and information-theoretic measures. We evaluate the explanatory power of the lexical variables in the CLD in the context of experimental data through analyses of lexical decision latencies for one-character, two-character, three-character and four-character words, as well as word naming latencies for one-character and two-character words. The results of these analyses are discussed.

The Mismeasurement of Mind: Life-Span Changes in Paired-Associate-Learning Scores Reflect the "Cost" of Learning, Not Cognitive Decline.

The age-related declines observed in scores on paired-associate-learning (PAL) tests are widely taken as support for the idea that human cognitive capacities decline across the life span. In a computational simulation, we showed that the patterns of change in PAL scores are actually predicted by the models that formalize the associative learning process in other areas of behavioral and neuroscientific research. These models also predict that manipulating language exposure can reproduce the experience-related performance differences erroneously attributed to age-related decline in age-matched adults. Consistent with this, results showed that older bilinguals outperformed native speakers in a German PAL test, an advantage that increased with age. These analyses and results show that age-related PAL performance changes reflect the predictable effects of learning on the associability of test items, and indicate that failing to control for these effects is distorting the understanding of cognitive and brain development in adulthood.