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The Multilingual Assessment Instrument for Narratives (MAIN): adding Kam to MAIN [Online resource]
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In: New language versions of MAIN: Multilingual Assessment Instrument for Narratives - revised / Natalia Gagarina & Josefin Lindgren (Eds.). Leibniz-Zentrum Allgemeine Sprachwissenschaft: ZAS papers in linguistics ; Nr. 64 (2020), 147-151
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| 2 |
The Multilingual Assessment Instrument for Narratives (MAIN): adding Mandarin to MAIN [Online resource]
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In: New language versions of MAIN: Multilingual Assessment Instrument for Narratives - revised / Natalia Gagarina & Josefin Lindgren (Eds.). Leibniz-Zentrum Allgemeine Sprachwissenschaft: ZAS papers in linguistics ; Nr. 64 (2020), 159-162
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The Multilingual Assessment Instrument for Narratives (MAIN): Adding Cantonese to MAIN [Online resource]
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In: New language versions of MAIN: Multilingual Assessment Instrument for Narratives - revised / Natalia Gagarina & Josefin Lindgren (Eds.). Leibniz-Zentrum Allgemeine Sprachwissenschaft: ZAS papers in linguistics ; Nr. 64 (2020), 23-29
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| 4 |
The Multilingual Assessment Instrument for Narratives (MAIN): adding Urdu to MAIN [Online resource]
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In: New language versions of MAIN: Multilingual Assessment Instrument for Narratives - revised / Natalia Gagarina & Josefin Lindgren (Eds.). Leibniz-Zentrum Allgemeine Sprachwissenschaft: ZAS papers in linguistics ; Nr. 64 (2020), 257-261
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Information Structure and Word Order Preference in Child and Adult Speech of Mandarin Chinese
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In: Languages ; Volume 5 ; Issue 2 (2020)
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Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology
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In: http://www.aclweb.org/anthology/W/W14/W14-5818.pdf
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Abstract:
This paper describes the work which aimed to create a semantic transparency dataset of Chi-nese nominal compounds (SemTransCNC 1.0) by crowdsourcing methodology. We firstly se-lected about 1,200 Chinese nominal compounds from a lexicon of modern Chinese and the Sinica Corpus. Then through a series of crowdsourcing experiments conducted on the Crowdflower platform, we successfully collected both overall semantic transparency and constituent semantic transparency data for each of them. According to our evaluation, the data quality is good. This work filled a gap in Chinese language resources and also practiced and explored the crowdsourc-ing methodology for linguistic experiment and language resource construction. 1
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URL: http://www.aclweb.org/anthology/W/W14/W14-5818.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.2942
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Assessment of Mandarin Receptive Vocabulary in Hong Kong Children
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In: http://www.cuhk.edu.hk/lin/cbrc/workshop/Chan_et_al_abstract.pdf
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Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments
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In: http://www.aclweb.org/anthology/W/W14/W14-4715.pdf
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