1 |
Age of acquisition effects on traditional Chinese character naming and lexical decision
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Age of acquisition effects on traditional Chinese character naming and lexical decision ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Age of acquisition effects on traditional Chinese character naming and lexical decision ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Age of acquisition effects on traditional Chinese character naming and lexical decision. ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Age of acquisition effects on traditional Chinese character naming and lexical decision
|
|
|
|
In: Psychon Bull Rev (2020)
|
|
BASE
|
|
Show details
|
|
7 |
Age of acquisition effects on traditional Chinese character naming and lexical decision
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Age of acquisition effects on traditional Chinese character naming and lexical decision.
|
|
|
|
BASE
|
|
Show details
|
|
9 |
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Semantic ambiguity effects on traditional Chinese character naming: A corpus-based approach. ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Semantic ambiguity effects on traditional Chinese character naming:A corpus-based approach
|
|
|
|
Abstract:
Words are considered semantically ambiguous if they have more than one meaning and can be used in multiple contexts. A number of recent studies have provided objective ambiguity measures by using a corpus-based approach and demonstrated ambiguity advantage in both naming and lexical decision tasks. Although the predictive power of the objective ambiguity measures has been examined in several alphabetic language systems, the effects in logographic languages remain unclear. Moreover, most ambiguity measures do not explicitly address how various contexts associated with a given word relate to each other. To explore these issues, we computed contextual diversity (Adelman et al. 2006) and semantic ambiguity (Hoffman et al. 2013) of traditional Chinese single-character words based on the Academia Sinica Balanced Corpus, where contextual diversity was used to evaluate the present semantic space. We then derived a novel ambiguity measure, namely semantic variability, by computing distance properties of the distinct clusters grouped by the contexts that contained a given word. We demonstrated that semantic variability was superior to semantic diversity in accounting for the variance in the naming RTs, suggesting that considering the substructure of various contexts associated with a given word can provide a relatively fine scale of ambiguity information for a word. All the context and ambiguity measures for 2,418 Chinese single-character words are provided as supplementary materials.
|
|
URL: https://eprints.lancs.ac.uk/id/eprint/88457/ https://eprints.lancs.ac.uk/id/eprint/88457/4/Chang_et_al_2017_Behavior_Research_Methods.pdf https://eprints.lancs.ac.uk/id/eprint/88457/1/semantic_ambiguity_chang_lee_accepted.pdf https://doi.org/10.3758/s13428-017-0993-4
|
|
BASE
|
|
Hide details
|
|
12 |
The Development of Mismatch Responses to Mandarin Lexical Tone in 12- to 24-Month-Old Infants
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Number of Meanings and Number of Senses: An ERP Study of Sublexical Ambiguities in Reading Chinese Disyllabic Compounds
|
|
|
|
BASE
|
|
Show details
|
|
15 |
The Acquisition of Orthographic Knowledge: Evidence from the Lexicality Effects on N400
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Semantic ambiguity effects on traditional Chinese character naming: A corpus-based approach
|
|
|
|
BASE
|
|
Show details
|
|
17 |
The psycholinguistic database for traditional Chinese character naming
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Effects of orthographic consistency and homophone density on Chinese spoken word recognition
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Exploring orthographic neighborhood size effects in a computational model of Chinese character naming
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Unsupervised Lexicon Discovery from Acoustic Input
|
|
|
|
In: Transactions of the Association for Computational Linguistics (2015)
|
|
BASE
|
|
Show details
|
|
|
|