Article published in:
The interface of semantics & etymology, morpho-syntax, and pragmatics in ChineseEdited by Jeeyoung Peck
[Language and Linguistics 20:2] 2019
► pp. 225–255
The effect of morphological structure on semantic transparency ratings
Shichang Wang | Shandong University
Chu-Ren Huang | The Hong Kong Polytechnic University
Yao Yao | The Hong Kong Polytechnic University
Angel Chan | The Hong Kong Polytechnic University
Semantic transparency deals with the interface between lexical semantics and morphology. It is an important
linguistic phenomenon in Chinese in the context of prediction of meanings of compounds from their constituents. Given prominence
of compounding in Chinese morpho-lexical processes, to date there is no semantic transparency dataset available to support
verifiable and replicable quantitative analysis of semantic transparency in Mandarin Chinese. In addition, the relation between
semantic transparency and morphological structure has not been systematically examined. This paper reports a crowdsourcing-based
experiment designed for the construction of a large semantic transparency dataset of Chinese compounds which includes semantic
transparency ratings of both the compound and each constituent root of the compound. We also present an analysis of the effects of
morphological structure on semantic transparency using the constructed dataset. Our study found that in a transparent
modifier-head compound, the head tends to get greater semantic transparency rating than the modifier. Interestingly, no such
effect is observed in coordinative compounds. This result suggests that compounds of different morphological structures are
processed differently and that the concept of head plays an important role in the word-formation process of compounding. We
advocate that crowdsourcing can be a highly instrumental method to collect linguistic judgments and to construct language
resources in Chinese language studies. In addition, the proposed methodology of comparing constituent transparency and word
transparency sheds light on the relation between morpho-lexical structure and cognitive processing of lexical meanings.
Keywords: Mandarin Chinese, constituent semantic transparency, compound word-formation, headedness, crowdsourcing
Article outline
- 1.Introduction
- 2.Building a semantic transparency dataset
- 2.1Method
- 2.1.1Materials
- 2.1.2Questionnaires and data quality assurance
- 2.1.3Quality control in crowdsourcing
- 2.1.4Platform and procedure
- 2.2Results
- 2.2.1Data cleaning and result calculation
- 2.2.2Evaluation
- 2.2.2.1Intra-group consistency
- Intra-group consistency of OST scores
- Intra-group consistency of CST scores
- 2.2.2.2Inter-group consistency
- 2.2.2.3Correlation between OST and CST results
- 2.2.2.1Intra-group consistency
- 2.2.3Merging and normalization
- 2.2.4Distribution and classification
- 2.3Correlations with laboratory experimental results
- 2.1Method
- 3.Testing morphological structure effect on semantic transparency ratings
- 3.1Method
- 3.2Results
- 3.2.1Testing prediction 1
- 3.2.2Testing prediction 2
- 3.2.3Resampling simulation analysis
- 4.General discussion and conclusion
- Acknowledgements
- Notes
- Abbreviations
-
References
Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 license.
For any use beyond this license, please contact the publisher at rights@benjamins.nl.
Published online: 05 April 2019
https://doi.org/10.1075/lali.00035.wan
https://doi.org/10.1075/lali.00035.wan
References
References
Allen, Margaret R.
Balota, David A. & Yap, Melvin J. & Hutchison, Keith A. & Cortese, Michael J.
Chen, Keh-Jiann & Huang, Chu-Ren & Chang, Li-Ping & Hsu, Hui-Li
Dictionary Editing Section Institude of Linguistics Chinese Academy of Social Sciences
Feldman, Laurie Beth & Pastizzo, Matthew John
Frisson, Steven & Niswander-Klement, Elizabeth & Pollatsek, Alexander
Gan, Hongmei
Gao, Bing & Gao, Fengqiang
Han, Yi-Jhong & Huang, Shuo-Chieh & Lee, Chia-Ying & Kuo, Wen-Jui & Cheng, Shih-Kuen
Huang, Chu-Ren & Wang, Shichang
Huang, Shuanfan
Keuleers, Emmanuel & Balota, David A.
Levin, Beth & Hovav, Malka R.
Lexicon of Common Words in Contemporary Chinese Project Group
Li, Jinxia
Li, Jinxia & Li, Yuming
Libben, Gary
Libben, Gary & Gibson, Martha & Yoon, Yeo B. & Sandra, Dominiek
2003 Compound fracture: The role of semantic transparency and morphological headedness. Brain and Language 84(1). 50–64. https://www.sciencedirect.com/science/article/pii/S0093934X02005205?via%3Dihub. 

Marslen-Wilson, William & Tyler, Lorraine K. & Waksler, Rachelle & Older, Lianne
Mok, Leh Woon
Myers, James & Derwing, Bruce & Libben, Gary
Myers, James & Libben, Gary & Derwing, Bruce
2004b The nature of transparency effects in Chinese compound processing. (Poster presented at the Fourth International Conference on the Mental Lexicon, Windsor, 30 June-3 July, 2004.
Pollatsek, Alexander & Hyönä, Jukka
Reddy, Siva & McCarthy, Diana & Manandhar, Suresh
Ren, Min
Schnoebelen, Tyler & Kuperman, Victor
Schreuder, Robert & Baayen, R. Harald
Song, Xuan
2013 Hanyu fuheci yuyi toumingdu de shiyi moshi fenxi [A paraphrastic analysis of the semantic transparency of Chinese compounds]. Yunnan Shifan Daxue Xuebao (Duiwai Hanyu Jiaoxue Yu Yanjiu Ban) [Journal of Yunnan Normal University (Teaching and Research on Chinese As a Foreign Language)] 11(3). 48–52.
Sprouse, Jon
Tsai, Chih-Hao
1996 Effects of semantic transparency and morphological structure on the representation and recognition of Chinese disyllabic words. In Cheng, Tsai-Fa & Li, Yafei & Zhang, Hongming (eds.), Proceedings of the Joint Meeting of the Fourth International Conference on Chinese Linguistics and the Seventh North American Conference on Chinese Linguistics, vol. 21, 326–343. Los Angeles: University of Southern California.
Wang, Chunmao & Peng, Danling
Wang, Shichang
Wang, Shichang & Huang, Chu-Ren & Yao, Yao & Chan, Angel
2014 Building a semantic transparency dataset of Chinese nominal compounds: A practice of crowdsourcing methodology. In Baptista, Jorge & Bhattacharyya, Pushpak & Fellbaum, Christiane & Forcada, Mikel & Huang, Chu-Ren & Koeva, Svetla & Krstev, Cvetana & Laporte Eric (eds.), Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing (LG-LP 2014 at COLING-2014), 147–156. Dublin: Dublin City University.
2015 Mechanical Turk-based experiment vs laboratory-based experiment: A case study on the comparison of semantic transparency rating data. In Zhao, Hai (ed.), Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29), 53–62. Shanghai: Shanghai Jiao Tong University.
Xu, Caihua & Li, Tang
Yuan, Chunfa & Huang, Changning
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