We present word frequencies based on subtitles of British television programmes. show that the SUBTLEX-UK explain more variance in lexical decision times Lexicon Project than National Corpus and SUBTLEX-US frequencies. In addition to form frequencies, we also measures contextual diversity part-of-speech specific children programmes, bigram giving researchers English access full range norms recently made available for other languages. Finally, introduce a new measure frequency, Zipf scale,...

Based on an analysis of the literature and a large scale crowdsourcing experiment, we estimate that average 20-year-old native speaker American English knows 42,000 lemmas 4,200 non-transparent multiword expressions, derived from 11,100 word families. The numbers range 27,000 for lowest 5% to 52,000 highest 5%. Between ages 20 60, person learns 6,000 extra or about one new lemma every 2 days. knowledge words can be as shallow knowing exists. In addition, people learn tens thousands inflected...

We present a new database of lexical decision times for English words and nonwords, which two groups British participants each responded to 14,365 monosyllabic disyllabic the same number nonwords total duration 16 h (divided over multiple sessions). This database, called Lexicon Project (BLP), fills an important gap between Dutch (DLP; Keuleers, Diependaele, & Brysbaert, Frontiers in Language Sciences. Psychology, 1, 174, 2010) (ELP; Balota et al., 2007), because it applies repeated measures...

The word frequency effect refers to the observation that high-frequency words are processed more efficiently than low-frequency words. Although was first described over 80 years ago, in recent it has been investigated detail. It become clear considerable quality differences exist between estimates and we need a new standardized measure does not mislead users. Research also points consistent individual effect, meaning will be present at different ranges for people with degrees of language...

People tend to slow down after they make an error. This phenomenon, generally referred as post-error slowing, has been hypothesized reflect perceptual distraction, time wasted on irrelevant processes, a priori bias against the response made in error, increased variability bias, or increase caution. Although caution interpretation dominated empirical literature, little research attempted test this context of formal process model. Here, we used drift diffusion model isolate and identify...

We use the results of a large online experiment on word knowledge in Dutch to investigate variables influencing vocabulary size population and examine effect prevalence-the percentage knowing word-as measure occurrence. Nearly 300,000 participants were presented with about 70 stimuli (selected from list 53,000 words) an adapted lexical decision task. identify age, education, multilingualism as most important factors size. The suggest that accumulation throughout life multiple languages...

In recent years, psycholinguistics has seen a remarkable growth of research based on the analysis data from large-scale studies word recognition, in particular lexical decision and naming. We present Dutch Lexicon Project (DLP) which group 39 participants made decisions to 14,000 words same number nonwords. To examine whether extensive practice precludes comparison with traditional short experiments, we look at differences between first last session, compare results English (ELP) French...

Keuleers, Stevens, Mandera, and Brysbaert (2015) presented a new variable, word prevalence, defined as knowledge in the population. Some words are known to more people than other. This is particularly true for low-frequency (e.g., screenshot vs. scourage). In present study, we examined impact of measure by collecting lexical decision times 30,000 Dutch lemmas various lengths (the Lexicon Project 2). Word prevalence had second highest correlation with (after frequency): Words everyone...

Subjective ratings for age of acquisition, concreteness, affective valence, and many other variables are an important element psycholinguistic research. However, even well-studied languages, usually cover just a small part the vocabulary. A possible solution involves using corpora to build semantic similarity space apply machine learning techniques extrapolate existing previously unrated words. We conduct systematic comparison two extrapolation techniques: k-nearest neighbours, random...

In this Perspective Article we assess the usefulness of Google's new word frequencies for recognition research (lexical decision and naming). We find that, despite massive corpus on which Google estimates are based (131 billion words from books published in United States alone), American English explain 11% less variance lexical times Lexicon Project (Balota et al., 2007) than SUBTLEX-US frequencies, a 51 million film television subtitles. Further analyses indicate that derived recent...

We report performance measures for lexical decision (LD), word naming (NMG), and progressive demasking (PDM) a large sample of monosyllabic monomorphemic French words (N = 1,482). compare the tasks also examine impact length, frequency, initial phoneme, orthographic phonological distance to neighbors, age-of-acquisition, subjective frequency. Our results show that objective frequency is by far most important variable predict reaction times in LD. For naming, it first phoneme. PDM was more...

We assess the amount of shared variance between three measures visual word recognition latencies: eye movement latencies, lexical decision times, and naming times. After partialling out effects frequency length, two well-documented predictors we see that 7-44% is uniquely times depending on range words used. A similar analysis latencies shows percentage they share either with or much lower. It 5-17% for gaze durations in studies target presented neutral sentences, but drops to 0.2% corpus...