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1
The Multilingual Assessment Instrument for Narratives (MAIN): adding Kam to MAIN [Online resource]
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]
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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3
The Multilingual Assessment Instrument for Narratives (MAIN): Adding Cantonese to MAIN [Online resource]
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]
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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5
Information Structure and Word Order Preference in Child and Adult Speech of Mandarin Chinese
In: Languages ; Volume 5 ; Issue 2 (2020)
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6
Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology
In: http://www.aclweb.org/anthology/W/W14/W14-5818.pdf
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7
Assessment of Mandarin Receptive Vocabulary in Hong Kong Children
In: http://www.cuhk.edu.hk/lin/cbrc/workshop/Chan_et_al_abstract.pdf
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8
Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments
In: http://www.aclweb.org/anthology/W/W14/W14-4715.pdf
Abstract: Mental lexicon plays a central role in human language competence and inspires the creation of new lexical resources. The traditional linguistic experiment methodwhich is used to exploremen-tal lexicon has some disadvantages. Crowdsourcing has become a promising method to conduct linguistic experiments which enables us to explore mental lexicon in an efficient and economic way. We focus on the feasibility and quality control issues of conducting Chinese linguistic ex-periments to collect Chinese word segmentation and semantic transparency data on the interna-tional crowdsourcing platforms Amazon Mechanical Turk and Crowdflower. Through this work, a framework for crowdsourcing linguistic experiments is proposed. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.8063
http://www.aclweb.org/anthology/W/W14/W14-4715.pdf
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