1,350 research outputs found

    Perception of Parental Encouragement for Learning Chinese with Chinese Academic Achievement of Grade 3, Grade 4, and Grade 5 Students at Ain International School in Thailand

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    The purpose of this study was to determine the relationships between Grade 3, Grade 4, andGrade 5 students’ level of motivation for learning Chinese, perception of parental encouragement for learning Chinese with their Chinese academic achievement at an international school in Thailand. An adapted version of attitude/motivation test battery was used to collect data from 55 Grade 3 students, 52 Grade 4 students, and 48 Grade 5 students during the second semester of academic year 2016 – 2017. Descriptive statistics – means, standard deviations, and multiple correlation coefficients were used to analyze the data. The findings suggested that Grade 3, Grade 4, and Grade 5 students at this school had high levels of motivation for learning Chinese and high levels of perception of parental encouragement for learning Chinese. Motivation for learning Chinese was found to correlate significantly with students’ Chinese academic achievement, while parental encouragement for learning Chinese did not significantly correlate with students’ Chinese academic achievement.

    Prospectives

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    Tiré de: Prospectives, vol. 9, no 2, avril 1973Titre de l'écran-titre (visionné le 24 janv. 2013

    Prospectives

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    Tiré de: Prospectives, vol. 7, no 5, nov. 1971.Titre de l'écran-titre (visionné le 24 janv. 2013

    Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien

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    In natural language processing (NLP), code-mixing (CM) is a challenging task, especially when the mixed languages include dialects. In Southeast Asian countries such as Singapore, Indonesia, and Malaysia, Hokkien-Mandarin is the most widespread code-mixed language pair among Chinese immigrants, and it is also common in Taiwan. However, dialects such as Hokkien often have a scarcity of resources and the lack of an official writing system, limiting the development of dialect CM research. In this paper, we propose a method to construct a Hokkien-Mandarin CM dataset to mitigate the limitation, overcome the morphological issue under the Sino-Tibetan language family, and offer an efficient Hokkien word segmentation method through a linguistics-based toolkit. Furthermore, we use our proposed dataset and employ transfer learning to train the XLM (cross-lingual language model) for translation tasks. To fit the code-mixing scenario, we adapt XLM slightly. We found that by using linguistic knowledge, rules, and language tags, the model produces good results on CM data translation while maintaining monolingual translation quality.Comment: The paper was accepted by EMNLP 2022 finding

    Attribute-level Neighbor Hierarchy Construction Using Evolved Pattern-based Knowledge Induction

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    Neighbor knowledge construction is the foundation for the development of cooperative query answering systems capable of searching for close match or approximate answers when exact match answers are not available. This paper presents a technique for developing neighbor hierarchies at the attribute level. The proposed technique is called the evolved Pattern-based Knowledge Induction (ePKI) technique and allows construction of neighbor hierarchies for nonunique attributes based upon confidences, popularities, and clustering correlations of inferential relationships among attribute values. The technique is applicable for both categorical and numerical (discrete and continuous) attribute values. Attribute value neighbor hierarchies generated by the ePKI technique allow a cooperative query answering system to search for approximate answers by relaxing each individual query condition separately. Consequently, users can search for approximate answers even when the exact match answers do not exist in the database (i.e., searching for existing similar parts as part of the implementation of the concepts of rapid prototyping). Several experiments were conducted to assess the performance of the ePKI in constructing attribute-level neighbor hierarchies. Results indicate that the ePKI technique produces accurate neighbor hierarchies when strong inferential relationships appear among data. © 2006 IEEE

    Prospectives

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    Tiré de: Prospectives, vol. 9, no 2, avril 1973Titre de l'écran-titre (visionné le 24 janv. 2013

    Prospectives

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    Tiré de: Prospectives, vol. 18, no 1/2, février/avril 1982Titre de l'écran-titre (visionné le 24 janv. 2013

    Prospectives

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    Tiré de: Prospectives, vol. 13, no 1, février 1977.Titre de l'écran-titre (visionné le 24 janv. 2013

    Prospectives

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    Tiré de: Prospectives, vol. 7, no 5, nov. 1971.Titre de l'écran-titre (visionné le 24 janv. 2013
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