汉语搭配信息对词汇识别的影响

采用词汇判断任务,探究汉语词汇识别中搭配信息的作用。研究表明:(1)汉语母语者对搭配信息敏感,高频搭配能显著促进词汇识别;(2)与高频搭配在语义关系上高度相近的词对词汇识别无促进效应;(3)以逆序形式呈现的高频搭配亦能促进词汇识别,但其效应弱于正序。本研究为词汇搭配知识的存储和加工方式的理论建构提供了依据:互为搭配关系的词语在词汇层面建立了具有方向性的联结,其联结强度取决于语言使用中的搭配共现频率;而在对搭配信息的前词汇加工过程中没有语义作用的参与。     

On the role of competing word units in visual word recognition: the neighborhood frequency effect

Current models of word recognition generally assume that word units orthographically similar to a stimulus word are involved in the visual recognition of this word. We refer to this set of orthographically similar words as an orthographic neighborhood. Two experiments are presented that investigate the ways in which the composition of this neighborhood can affect word recognition. The data indicate that the presence in the neighborhood of at least one unit of higher frequency than the stimulus word itself results in interference in stimulus word processing. Lexical decision latencies (Experiment 1) and gaze durations (Experiment 2) to words with one neighbor of higher frequency were significantly longer than to words without a more frequent neighbor. This neighborhood frequency effect is discussed in terms of the different types of candidate selection process postulated by contemporary models of visual word recognition.     

Comprehension of familiar phrases by left- but not by right-hemisphere damaged patients

Single words, familiar phrases (idioms and speech formulas), and novel sentences (matched to the familiar phrases in length, frequency, and structure) were selected for a picture-matching auditory comprehension task and administered to left- and right-brain damaged (LBD, RBD) subjects. The groups did not differ in single word comprehension. A 2 x 2 ANOVA revealed opposite patterns on the two other tasks, with LBD subjects performing worse on novel than familiar phrases, and RBD subject impaired on familiar phrase but not on novel sentence comprehension. The role of grammatical/referential vs. holistic/inferential meaning in left and right hemisphere function is discussed.     

Stroop-like serial position effects in color naming of words and nonwords

Color-naming latencies to noncolor words and nonwords were faster when the onset or final phoneme of the displays corresponded to the onset or final phoneme of the color response. For example, for displays printed in red, the word rack and nonword rask, which share the initial onset phoneme with the response, led to faster naming than did the control word chap and nonword chup. Conversely, when the onset or final phoneme of the displays matched the onset or final phoneme of a conflicting color response (e.g., rack printed in blue), latencies were longer than to control items. Facilitation effects were stronger than interference effects, and the onset phoneme facilitation effect was augmented by coloring only the initial letter in the display. It is hypothesized that nonlexical processes that govern the translation of print to speech may be a source of facilitation in Stroop-like tasks, whereas lexical processes are more likely to contribute to interference.     

Why do non-color words interfere with color naming?

In the non-color-word Stroop task, university students' response latencies were longer for low-frequency than for higher frequency target words. Visual identity primes facilitated color naming in groups reading the prime silently or processing it semantically (Experiment 1) but did not when participants generated a rhyme of the prime (Experiment 3). With auditory identity primes, generating an associate or a rhyme of the prime produced interference (Experiments 2 and 3). Color-naming latencies were longer for nonwords than for words (Experiment 4). There was a small long-term repetition benefit in color naming for low-frequency words that had been presented in the lexical decision task (Experiment 5). Facilitation of word recognition speeds color naming except when phonological activation of the base word increases response competition.     

Looks aren’t Everything: Pseudohomophones Prime Words but Nonwords do not

After examining literature that deals with phonological and orthographic effects associated with pseudohomophones, the current effort deviates from the norm by using fewer pseudohomophones (20) and extending the lags between primes and targets (M=8). Word and pseudohomophone primes were found to facilitate lexical decision response latencies to word targets. Response latencies to word targets were not influenced by nonword primes, however. The presence of pseudohomophone effects was demonstrated by longer response latencies and higher error rates for pseudohomophones (e.g., DREEM) that were equated in orthography to nonword controls (e.g., DROAM). Despite the frequency effect observed for base words, the pseudohomophones did not exhibit an effect of base word frequency. The results suggest that phonological codes exert an influence on lexical representation but are not frequency sensitive.     

The interaction of word frequency and word class: a test of the GO model's account of the missing-letter effect

When asked to detect target letters while reading a text, participants miss more letters in frequent function words than in less frequent content words. In this phenomenon, known as the missing-letter effect, two factors covary: word frequency and word class. According to the GO model, there should be an interaction between word class and word frequency with more omissions for function than for content words only among high-frequency words. This pattern would be due to the fact that function words could only assume a structure-supporting role if they are identified rapidly, which is only possible for high-frequency words. These predictions were tested by assessing omission rate for frequent and rare function and content words. Results lend support to the GO model with more omissions for frequent than for rare words, and more omissions for the function than for the content word among high-frequency words, but not among low-frequency words. These results were observed both in English (Experiment 1) and in French (Experiment 2).     

Auditory event related potentials during lexical categorization in the oddball paradigm.

Event related potentials (ERPs) and reaction times (RTs) were recorded from 18 subjects, performing lexical categorization of words and nonwords. Three sets of monosyllable utterances, differentiated in semantic and rhyming attributes, were presented using the "oddball paradigm." ERPs included a sustained negativity which began approximately 100 msec after stimulus onset and peaked at approximately 400 mses (SN4) poststimulus, in response to target as well as to nontarget word stimuli. Semantic effects on SN4 latency were observed only for target utterances. Nonmeaningful word targets were associated with longer SN4 peak latencies as well as slower RTs compared to meaningful word targets. It is suggested that these longer latencies are due to a longer time required for an exhaustive search in permanent memory before categorizing a stimulus as a nonmeaningful word.     

The time course of spoken word learning and recognition: studies with artificial lexicons

The time course of spoken word recognition depends largely on the frequencies of a word and its competitors, or neighbors (similar-sounding words). However, variability in natural lexicons makes systematic analysis of frequency and neighbor similarity difficult. Artificial lexicons were used to achieve precise control over word frequency and phonological similarity. Eye tracking provided time course measures of lexical activation and competition (during spoken instructions to perform visually guided tasks) both during and after word learning, as a function of word frequency, neighbor type, and neighbor frequency. Apparent shifts from holistic to incremental competitor effects were observed in adults and neural network simulations, suggesting such shifts reflect general properties of learning rather than changes in the nature of lexical representations.     

The interaction of word frequency and word class: A test of the GO model's account of the missing-letter effect

When asked to detect target letters while reading a text, participants miss more letters in frequent function words than in less frequent content words. In this phenomenon, known as the missing-letter effect, two factors covary: word frequency and word class. According to the GO model, there should be an interaction between word class and word frequency with more omissions for function than for content words only among high-frequency words. This pattern would be due to the fact that function words could only assume a structure-supporting role if they are identified rapidly, which is only possible for high-frequency words. These predictions were tested by assessing omission rate for frequent and rare function and content words. Results lend support to the GO model with more omissions for frequent than for rare words, and more omissions for the function than for the content word among high-frequency words, but not among low-frequency words. These results were observed both in English (Experiment 1) and in French (Experiment 2).     

How strongly do word reading times and lexical decision times correlate? Combining data from eye movement corpora and megastudies

We assess the amount of shared variance between three measures of visual word recognition latencies: eye movement latencies, lexical decision times, and naming times. After partialling out the effects of word frequency and word length, two well-documented predictors of word recognition latencies, we see that 7–44% of the variance is uniquely shared between lexical decision times and naming times, depending on the frequency range of the words used. A similar analysis of eye movement latencies shows that the percentage of variance they uniquely share either with lexical decision times or with naming times is much lower. It is 5–17% for gaze durations and lexical decision times in studies with target words presented in neutral sentences, but drops to 0.2% for corpus studies in which eye movements to all words are analysed. Correlations between gaze durations and naming latencies are lower still. These findings suggest that processing times in isolated word processing and continuous text reading are affected by specific task demands and presentation format, and that lexical decision times and naming times are not very informative in predicting eye movement latencies in text reading once the effect of word frequency and word length are taken into account. The difference between controlled experiments and natural reading suggests that reading strategies and stimulus materials may determine the degree to which the immediacy-of-processing assumption and the eye–mind assumption apply. Fixation times are more likely to exclusively reflect the lexical processing of the currently fixated word in controlled studies with unpredictable target words rather than in natural reading of sentences or texts.     

Distributional analyses in auditory lexical decision: Neighborhood density and word-frequency effects

In the present article, the effects of phonological neighborhood density and word frequency in spoken word recognition were examined using distributional analyses of response latencies in auditory lexical decision. A density × frequency interaction was observed in mean latencies; frequency effects were larger for low-density words than for high-density words. Distributional analyses further revealed that for low-density words, frequency effects were reflected in both distributional shifting and skewing, whereas for high-density words, frequency effects were purely mediated by distributional skewing. The results suggest that word frequency plays a role in early auditory word recognition only when there is relatively little competition between similar-sounding words, and that frequency effects in high-density words reflect postlexical checking.     

Grammatical and nongrammatical contributions to closed-class word selection

Closed-class word selection was investigated by focusing on determiner production. Native speakers from three different languages named pictures of objects using determiner plus noun phrases (e.g., in French "la table" [the-sub(feminineA) table], while ignoring distractor determiners printed on the pictures (e.g., "le" [the-sub(masculine)]. The target and distractor expressed either shared or different grammatical and nongrammatical features (gender, number, and definiteness). A gender-facilitation effect was observed and attributed to noun processing. Crucially, across five experiments, distractors that shared a feature with the target determiner never resulted in longer naming latencies than distractors that were more different. These results indicate that activating related candidates is not detrimental for determiner retrieval, suggesting a noncompetitive mechanism of closed-class word selection.     

Age changes in the missing-letter effect revisited

When participants search for a target letter while reading, they make more omissions if the target letter is embedded in frequent function words than in less frequent content words. Reflecting developmental changes in component language and literacy skills, the size of this effect increases with age. With adults, the missing-letter effect is due to both word function and word frequency. With children, it is unclear whether the growing size of the missing-letter effect across development is due to a larger effect of word function, word frequency, or both because previous studies with children seeking to isolate the influence of word frequency and word function suffer from important methodological limitations. With these methodological limitations eliminated (Experiments 1 and 2), performance in a letter detection task was assessed for children in Grades 1, 2, 3, 4, and 7 as well as for undergraduate students. The results revealed that the influence of word function increases with age, whereas the effect of frequency is fairly stable across ages. Furthermore, normative predictability data collected in Experiment 3 revealed that third graders and undergraduate students were equally good at predicting function slots in a sentence.     

Naming regular and exception words: Further examination of the effect of phonological dissension among lexical neighbours

Abstract

It is generally assumed that visual word recognition is accompanied by the activation of lexical representations corresponding to words orthographically similar to the target (neighbours). With regard to the pronunciation of their constituent units, these words can either converge with or diverge from the target pronunciation. The role of the frequency of the divergent pronunciations in print-to-sound conversion was examined in a naming experiment in which subjects pronounced regular and exception words. The results showed that naming latencies for exception words were affected by the orthographic similarity of the target with frequent phonologically divergent words (enemies). In a similar vein, regular words which include the letters G or C (whose pronunciations are contextually determined) and which are orthographically similar to words favouring an incorrect pronunciation of the letter took longer to pronounce than regular controls. A delayed naming experiment indicated that these differences were not attributable to the articulatory characteristics of the items. Finally, it also appeared that enemy frequency influenced naming latencies but not regularisation rates and regularisation latencies. The results are discussed within the framework of current dual-route and parallel distributed processing models of reading.     

Sentence perception units and levels of syntactic structure

Subjects listened to recorded sentences which were followed by probe words. They performed a next-word naming task—uttering the word that followed the probe word in the original sentence as quickly as possible. Other things being equal, naming latencies are longer when the juncture between the probe word and the response word in the original sentence sequence terminates a “functionally complete” unit than when this position corresponds to the boundary of a “functionally incomplete” unit. These results are not predicted by existent “syntactic” theories of sentence perception units, and these theories are to that extent shown to be inadequate. A “functional” program for the study of sentence perception is suggested.     

汉语名词短语产生中的量词一致性效应

目前,语言产生领域的多数研究都集中在口语词语产生方面,许多研究者针对不同的语言系统的特色,对功能词进行了大量跨语言的研究。汉语量词是汉藏语系独有的功能词,本研究采用词图干扰范式,以名词短语和简单名词两种不同的图片命名任务,探讨了汉语量词的产生过程。实验结果发现,在名词短语命名任务下,存在量词的一致性效应;在名词命名的任务下,则不存在这种一致性效应。研究还发现语义干扰效应在两种不同命名任务下出现了分离。语义干扰效应只在命名名词的任务下出现,在命名名词短语的任务下未被发现。     

Direct assessments of the processing time hypothesis for the missing-letter effect

When participants search for a target letter while reading, they make more omissions if the target letter is embedded in frequently used words or in the most frequent meaning of a polysemic word. According to the processing time hypothesis, this occurs because familiar words and meanings are identified faster, leaving less time for letter identification. Contrary to the predictions of the processing time hypothesis, with a rapid serial visual presentation procedure, participants were slower at detecting target letters for more frequent words or the most frequent meaning of a word (Experiments 1 and 2) or at detecting the word itself instead of a target letter (Experiment 3). In Experiments 4 and 5, participants self-initiated the presentation of each word, and the same pattern of results was observed as in Experiments 1 and 3. Positive correlations were also found between omission rate and response latencies.     

Eye movements as direct tests of the GO model for the missing-letter effect

When asked to detect target letters while reading a text, participants miss more letters in frequently occurring function words than in less frequent content words. To account for this pattern of results, known as the missing-letter effect, Greenberg, Healy, Koriat, and Kreiner proposed the guidance-organization (GO) model, which integrates the two leading models of the missing-letter effect while incorporating innovative assumptions based on the literature on eye movements during reading. The GO model was evaluated by monitoring the eye movements of participants while they searched for a target letter in a continuous text display. Results revealed the usual missing-letter effect, and many empirical benchmark effects in eye movement literature were observed. However, contrary to the predictions of the GO model, response latencies were longer for function words than for content words. Alternative models are discussed that can accommodate both error and response latency data for the missing-letter effect.     

Word naming in Spanish

Studies on the factors that determine word naming speed have been conducted in a number of languages. In this study two objectives were pursued: (1) to contrast the effects of the variable of age of acquisition with the different measures of frequency of use (adult written frequency, child written frequency, cumulative frequency, and frequency trajectory), and (2) to verify which variables determine reading latencies in a language with a completely transparent reading system (Spanish). For these purposes, 53 native speakers of Spanish read aloud 240 words for which values were available of the main lexical, phonological, and semantic variables. The results of the regression analyses showed that the best predictors of reading times were length (measured in terms of both number of letters and number of syllables) and subjective age of acquisition (AoA). The different frequency measures correlated significantly with the response latencies but were not longer significant in the regression analyses. Semantic variables (familiarity and imageability) had the smallest effects on reading speed. The comparison of the results obtained in this study with those reported for other languages offers some conclusions about the effects of orthographic systems on word naming.