Polysemy and memory

The degree of ambiguity of words with multiple meanings was estimated by the semantic uncertainty (U) of a word as measured by word association and sentence generation tasks. Ambiguous words defined in this way were as well remembered in a recognition memory test as control words. When words were first presented in sentences that would determine their encoded sense, it was found that successive encodings of an ambiguous word converged more when the word appeared in its primary sense than when it appeared in its secondary sense. However, given convergent encodings, recognition was more likely if the word had first occurred in its secondary sense. An explanation in terms of semantic focus is offered and related to the general relationship between recognition and frequency.The research reported in this paper was supported by the Learning Research and Development Center, which is supported in part by the U.S. Office of Education.     

Imageability and distributional typicality measures of nouns and verbs in contemporary English

Dissociations between noun and verb processing are not uncommon after brain injury; yet, precise psycholinguistic comparisons of nouns and verbs are hampered by the underrepresentation of verbs in published semantic word norms and by the absence of contemporary estimates for part-of-speech usage. We report herein imageability ratings and rating response times (RTs) for 1,197 words previously categorized as pure nouns, pure verbs, or words of balanced noun-verb usage on the basis of the Francis and Ku?era (1982) norms. Nouns and verbs differed in rated imageability, and there was a stronger correspondence between imageability rating and RT for nouns than for verbs. For all word types, the image-rating-RT function implied that subjects employed an image generation process to assign ratings. We also report a new measure of noun-verbtypicality that used the Hyperspace Analog to Language (HAL; Lund & Burgess, 1996) context vectors (derived from a large sample of Usenet text) to compute the mean context distance between each word and all of thepure nouns andpure verbs. For a subset of the items, the resulting HAL noun-verb difference score was compared with part-of-speech usage in a representative sample of the Usenet corpus. It is concluded that this score can be used to estimate the extent to which a given word occurs in typical noun or verb sentence contexts in informal contemporary English discourse. The item statistics given in Appendix B will enable experimenters to select representative examples of nouns and verbs or to compare typical with atypical nouns (or verbs), while holding constant or covarying rated imageability.     

Semantic distance norms computed from an electronic dictionary (WordNet)

WordNet, an electronic dictionary (or lexical database), is a valuable resource for computational and cognitive scientists. Recent work on the computing of semantic distances among nodes (synsets) in WordNet has made it possible to build a large database of semantic distances for use in selecting word pairs for psychological research. The database now contains nearly 50,000 pairs of words that have values for semantic distance, associative strength, and similarity based on co-occurrence. Semantic distance was found to correlate weakly with these other measures but to correlate more strongly with another measure of semantic relatedness, featural similarity. Hierarchical clustering analysis suggested that the knowledge structure underlying semantic distance is similar in gross form to that underlying featural similarity. In experiments in which semantic similarity ratings were used, human participants were able to discriminate semantic distance. Thus, semantic distance as derived from WordNet appears distinct from other measures of word pair relatedness and is psychologically functional. This database may be downloaded fromwww.psychonomic.org/archive/.     

Semantic distance norms computed from an electronic dictionary (WordNet).

WordNet, an electronic dictionary (or lexical database), is a valuable resource for computational and cognitive scientists. Recent work on the computing of semantic distances among nodes (synsets) in WordNet has made it possible to build a large database of semantic distances for use in selecting word pairs for psychological research. The database now contains nearly 50,000 pairs of words that have values for semantic distance, associative strength, and similarity based on co-occurrence. Semantic distance was found to correlate weakly with these other measures but to correlate more strongly with another measure of semantic relatedness, featural similarity. Hierarchical clustering analysis suggested that the knowledge structure underlying semantic distance is similar in gross form to that underlying featural similarity. In experiments in which semantic similarity ratings were used, human participants were able to discriminate semantic distance. Thus, semantic distance as derived from WordNet appears distinct from other measures of word pair relatedness and is psychologically functional. This database may be downloaded from www.psychonomic.org/archive/.     

Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words

Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for polysemous words that can be used in many different ways, with subtle shifts in meaning. Here, we describe an alternative, computationally derived measure of ambiguity based on the proposal that the meanings of words vary continuously as a function of their contexts. On this view, words that appear in a wide range of contexts on diverse topics are more variable in meaning than those that appear in a restricted set of similar contexts. To quantify this variation, we performed latent semantic analysis on a large text corpus to estimate the semantic similarities of different linguistic contexts. From these estimates, we calculated the degree to which the different contexts associated with a given word vary in their meanings. We term this quantity a word’s semantic diversity (SemD). We suggest that this approach provides an objective way of quantifying the subtle, context-dependent variations in word meaning that are often present in language. We demonstrate that SemD is correlated with other measures of ambiguity and contextual variability, as well as with frequency and imageability. We also show that SemD is a strong predictor of performance in semantic judgments in healthy individuals and in patients with semantic deficits, accounting for unique variance beyond that of other predictors. SemD values for over 30,000 English words are provided as supplementary materials.     

Definitions as theories of word meaning

Dictionary definitions are often used in education and in computerized databases for processing natural language, but their accuracy as models of word meaning has not been carefully evaluated. An experiment involving fourth graders and adults measured the efficacy of dictionary definitions in marking distinctions in sense and found them to be very poor for children, but fairly helpful for adults. A second experiment compared dictionary definitions to definitions written by college students who had sorted sets of sentence citations, and found both moderately effective in teaching word use. Good definitions were produced less often for high-frequency words than for low-frequency words, given equivalent numbers of citations, suggesting that sentences using high-frequency words are less informative overall. Also, the more citations available to the definition writer, the better the definition was in teaching word use, suggesting that information about word meaning is cumulative and describable.This research was partially supported by grants from the Spencer and Sloan Foundations to George A. Miller.     

EsPal: One-stop shopping for Spanish word properties

This article introduces EsPal: a Web-accessible repository containing a comprehensive set of properties of Spanish words. EsPal is based on an extensible set of data sources, beginning with a 300 million token written database and a 460 million token subtitle database. Properties available include word frequency, orthographic structure and neighborhoods, phonological structure and neighborhoods, and subjective ratings such as imageability. Subword structure properties are also available in terms of bigrams and trigrams, biphones, and bisyllables. Lemma and part-of-speech information and their corresponding frequencies are also indexed. The website enables users either to upload a set of words to receive their properties or to receive a set of words matching constraints on the properties. The properties themselves are easily extensible and will be added over time as they become available. It is freely available from the following website: http://www.bcbl.eu/databases/espal/.     

The cognitive processing of Japanese loanwords in katakana

Abstract: The present study examined two questions concerning the cognitive processing of Japanese loanwords borrowed from English and written in katakana. The first question was whether "interlexical activation" occurs between Japanese and English. Results from a lexical decision task showed that loanwords phonetically similar to the original English words were judged with the same speed and accuracy as those being phonetically dissimilar to their original English words. The study further examined the cognitive processing of unadopted loanwords (i.e., words unlisted in a Japanese loanword dictionary). Reaction times displayed the shortest mean for non-words, followed by pseudo-loanwords, and finally unadopted loanwords. Thus, the only time the lexical representation of an original English word was possibly activated was when native Japanese speakers had seldom seen the word in katakana. The second question was what creates the "lexical mental boundary" between adopted and unadopted loanwords. A questionnaire showed that native Japanese speakers are likely to use decision-making strategies for determining lexicality of loanwords in Japanese based on their daily experience of exposure to katakana words in print.     

小学生羞怯特质预测及语言风格模型构建

收集在线教学平台上1306名小学生的作文、日记及评论, 采用自然语言处理技术进行文本分析, 并应用机器学习模型实现对羞怯特质的自动预测, 构建小学生羞怯行为、认知和情绪的语言风格模型。研究发现：(1)扩充的心理词典适合分析小学生文本; (2)分别存在羞怯行为、认知和情绪问题的学生其日常用语既有共性也有特性, 且与普通学生存在差异; (3)羞怯各维度在不同分类器上达到较好的预测效果, 其中随机森林模型的整体表现相对最好。     

A word’s meaning affects the decision in lexical decision

The influence of an isolated word’s meaning on lexical decision reaction time (RT) was demonstrated through four experiments. Subjects in two experiments made lexical decision judgments, those in a third experiment pronounced the words used in the lexical decision task, and those in a fourth experiment quickly pronounced their first associative response to the words. Differences in lexical access time for the words were measured with the pronunciation task, and differences in meaning were assessed with the association task. Multiple regression analyses of lexical decision RT were conducted using associative RT, pronunciation RT, and other target word properties (printed frequency, length, instance dominance, and number of dictionary meanings) as predictor variables. These analyses revealed a relationship between lexical decision RT and associative RT after the effects of other variables had been partialed out. In addition, word frequency continued to have a significant relationship to lexical decision RT beyond that shared with pronunciation RT and the other variables. The results of these experiments indicate that at least some of the effect of word meaning and word frequency in lexical decision is attributable to a decision stage following lexical access.     

A database of orthography-semantics consistency (OSC) estimates for 15,017 English words

Orthography–semantics consistency (OSC) is a measure that quantifies the degree of semantic relatedness between a word and its orthographic relatives. OSC is computed as the frequency-weighted average semantic similarity between the meaning of a given word and the meanings of all the words containing that very same orthographic string, as captured by distributional semantic models. We present a resource including optimized estimates of OSC for 15,017 English words. In a series of analyses, we provide a progressive optimization of the OSC variable. We show that computing OSC from word-embeddings models (in place of traditional count models), limiting preprocessing of the corpus used for inducing semantic vectors (in particular, avoiding part-of-speech tagging and lemmatization), and relying on a wider pool of orthographic relatives provide better performance for the measure in a lexical-processing task. We further show that OSC is an important and significant predictor of reaction times in visual word recognition and word naming, one that correlates only weakly with other psycholinguistic variables (e.g., family size, word frequency), indicating that it captures a novel source of variance in lexical access. Finally, some theoretical and methodological implications are discussed of adopting OSC as one of the predictors of reaction times in studies of visual word recognition.     

Subcategorical phonetic mismatches and lexical access

The place of phonetic analysis in the perception of words is unclear. While some theories assume fully specified phonemic strings as input, other theories assume that little analysis occurs. An earlier experiment by Streeter and Nigro (1979) produced evidence, based on auditorily presented words with misleading acoustic cues, that lexical decisions were based on mostly unanalyzed patterns, since word judgments were delayed by misleading information whereas non word judgments were not. The present studies expand that work to a different set of cues, and to cases in which the overriding cue came first. An additional task, auditory naming, was used to examine the effects when the decision stage is less demanding. For the lexical decision task, misleading information slowed the responses, for both words and nonwords. In the auditory naming task, only the slower responses were affected. These results suggest that phonetic conflicts are resolved prior to lexical access.     

The world of competitive Scrabble: Novice and expert differences in visuopatial and verbal abilities

Competitive Scrabble players spend a mean of 4.5 hr a week memorizing words from the official Scrabble dictionary. When asked if they learn word meanings when studying word lists, only 6.4% replied "always," with the rest split between "sometimes" and "rarely or never." Number of years of play correlated positively with expertise ratings, suggesting that expertise develops with practice. To determine the effect of hours of practice (M = 1,904), the authors compared experts with high-achieving college students on a battery of cognitive tests. Despite reporting that they usually memorize word lists without learning meanings, experts defined more words correctly. Reaction times on a lexical decision task (controlling for age) correlated with expertise ratings, suggesting that experts develop faster access to word identification. Experts' superiority on visuospatial processing was found for reaction time on 1 of 3 visuospatial tests. In a study of memory for altered Scrabble boards, experts outperformed novices, with differences between high and low expertise on memory for boards with structure-deforming transformations. Expert Scrabble players showed superior performance on selected verbal and visuospatial tasks that correspond to abilities that are implicated in competitive play.     

Identification of typographically transformed words: instance-based skill acquisition

Two hypotheses concerning the development of skill at identifying typographically transformed words were tested. One claim is that a general skill independent of specific training instances is involved, and the other is that skill is based on memory for the analysis of specific instances encountered during training. Contrary to the general skill view, a series of experiments demonstrated that transfer of word identification skill was highly specific and occurred only when training and test instances shared common letters printed in the same case (i.e., uppercase or lowercase). Transfer of skill also depended on the visual patterns formed by adjacent letters and word shape. Presentation of a word in training and test phases significantly improved test phase identification of that word even when a unique visual pattern was used. These results are compatible with an instance-based view of word identification skill in which it is assumed that subjects develop skilled analysis of the visual and conceptual characteristics of specific words, and that this skill can be used to identify repeatedly presented words as well as predictable sets of novel words.     

Convenient fixation location within isolated words of different length and structure

When a word is visually presented in a naming or comparison task in such a way that the eye is initially fixated at different locations within the word, a very strong effect of fixation location is found. The effect appears as a U-shaped curve. Naming time and total fixation time (gaze duration) have a minimum for an initial fixation location between the third and fifth letter of the word (for words that are 5-11 letters long). When initial fixation location deviates from this optimum position, times increase at the surprisingly fast rate of 20-30 ms per letter of deviation. By manipulating the internal lexical structure of the words, we show that at least part of the fixation location effect is caused by mechanisms related to ongoing lexical processing. This is demonstrated by the fact that the fixation location effect takes a different form when the most informative part of a word (as determined by dictionary counts) occurs at the beginning or the end of the word.     

Reliability of familiarity rating of ordinary Japanese words for different years and places

Two-word familiarity sets were measured in different years (1995 and 2002) and places (Kanto and Kinki, in Japan) for a large number of Japanese words, to examine the reliability of familiarity ratings. The correlation between the word familiarities of the two sets was extremely high (r = .958, N = 10,515). It is suggested that familiarity rating, at least for ordinary words found in a dictionary, is very reliable and not greatly affected by differences in years and places.     

Novel popout and familiar popout in a brightness discrimination task

A single novel word among several familiarized words may be localized more effectively than the familiarized words (novel popout). Early demonstrations of novel popout attributed the effect to the capture of attentional resources by novel stimuli. Christie and Klein (1995, 1996) argued that differential recollection of novel versus familiar words could alternatively account for the popout effect. In the present experiments, participants judged which of four locations contained a physically brighter word. A bright novel word was localized significantly better than a bright familiar word in one-novel/three-familiar arrays, inconsistent with a retrievability account of novel popout. However, a bright familiar word was also localized better than a bright novel word in three-novel/one-familiar arrays, inconsistent with the mismatch theory proposed by Johnston and Hawley (1994). The results suggest that familiarity and novelty provide a perceptual segregation of the odd item; superior brightness discrimination at that location may be due either to attentional capture or to locational ambiguity within the larger group.     

The word-superiority effect and phonological recoding

Previous work indicates that the locus of the word-superiority effect in letter detection is nonvisual and that letter names, but not letter shapes, are more accessible in words than in nonwords, that is, scrambled collections of letters (e.g., Krueger & Shapiro, 1979; Krueger & Stadtlander, 1991; Massaro, 1979). The nonvisual (verbal or lexical) coding may be phonological, or it may be more abstract. In the present study, a word advantage in the speed of letter detection was found even when the target letter was silent in the six-letter test word (e.g., s in island). Other test words varied in their frequency of occurrence in English and number of syllables (1, 2, or 3). The word advantage was larger for higher frequency words but was not affected by syllable length. The presence of unpronounceable nonwords and silent letters in the words discouraged reliance upon the phonological code but did not thereby eliminate the word advantage. Thus, the word-superiority effect with free viewing is not based entirely upon phonological recoding.