A preliminary study of english–chinese translation teaching under the enlightenment and internalization model based on web

2015 ◽  
pp. 23-27
Author(s):  
Zhongyan Duan ◽  
Li Hu
Keyword(s):  
Chinese Translation ◽  
Model Based ◽  
The Enlightenment ◽  
Preliminary Study

scholarly journals Preliminary study on the development of blended learning (BLM) model: based on needs analysis and learning independence

2019 ◽  
Vol 1175 ◽  
pp. 012207
Author(s):  
Widyasari ◽  
Rasmitadila ◽  
Megan Asri Humaira ◽  
Rusi Rusmiati Aliyyah ◽  
Awaluddin Abdul Gaffar ◽  
...  
Keyword(s):  
Blended Learning ◽  
Needs Analysis ◽  
Model Based ◽  
Preliminary Study

Model-Based Approach in Developing a Hand Exoskeleton for Children: A Preliminary Study

2018 ◽  
pp. 490-494 ◽  
Author(s):  
Matteo Bianchi ◽  
Nicola Secciani ◽  
Alessandro Ridolfi ◽  
Federica Vannetti ◽  
Guido Pasquini
Keyword(s):  
Model Based ◽  
Hand Exoskeleton ◽  
Preliminary Study

scholarly journals Pengembangan Model Pembelajaran Kewirausahaan Berbasis Potensi Lokal di Sekolah Kejuruan Wilayah Kalimantan Barat

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Rapita Ulan Sari ◽  
Rusdarti Rusdarti ◽  
Rodia Syamwil
Keyword(s):  
Research And Development ◽  
Learning Model ◽  
Development Stage ◽  
Local Potential ◽  
Learning Tools ◽  
Final Model ◽  
Effective Learning ◽  
Model Based ◽  
Preliminary Study ◽  
Made In

Penelitian ini bertujuan untuk membuat pengembangan model pembelajaran berbasis potensi lokal bidai pada mata pelajaran Kewirausahaan dan menguji kevalidan dan keefektifan dalam menggunakan pembelajaran yang dikembangkan untuk membuat siswa berminat berwirausaha bidai. Metode yang digunakan dalam penelitian ini adalah research and development dengan dibuat penyederhanaan pada langkah ke enam sebagai model final yang pelaksanaannya dilaksanakan dalam tahap studi pendahuluan dan tahap pengembangan. Tahap studi pendahuluan dalam penelitian ini menggunakan observasi wawancara terbuka dari pernyataan guru. Tahap pengembangan model pembelajaran kewirausahaan meliputi desain produk yang divalidasi oleh para ahli, selanjutnya diimplementasikan ke dalam perangkat pembelajaran yang akan divalidasi oleh praktisi sebagai pengguna model sebelum diterapkan di dalam kelas. Hasil penelitian ini menunjukkan model pembelajaran kewirausahaan berbasis potensi lokal bidai dikembangkan menghasilkan model konseptual, model hipotetik, dan model akhir. Model pembelajaran kewirausahaan berbasis potensi lokal yang dikembangkan dinyatakan valid dan efektif untuk meningkatkan pengetahuan dan keterampilan membuat bidai dan berwirausaha, memiliki sikap positif terhadap warisan budaya, dan menghasilkan produk bernilai komersil.. Hasil akhir penelitian pada model pembelajaran kewirausahaan ini yaitu hasil akhir model pembelajaran kewirausahaan berbasis potensi lokal bidai dikategorikan valid dan efektif. This research aims to make the development of learning model based on local potential of bidai on Entrepreneurship subjects and to test the validity and effectiveness in using a developed learning to make students interested in entrepreneurial bidai. Research and development were used as the method in this study with a simplification made in the sixth step as a final model, which the implementation was carried out in the preliminary study stage and development stage. The preliminary study stage in this study used open interview observations of teacher statements. The development phase of the entrepreneurship-learning model includes product design, which was validated by experts, and then implemented into learning tools that would be validated by practitioners as model users before being applied in the classroom. The results of this study indicate that the developed entrepreneurship-learning model based on the local potential of bidai generates conceptual models, hypothetical models, and final models. The developed entrepreneurship-learning model based on the local potential is said as a valid and effective learning model in improving the knowledge and skills of bidai and entrepreneurship, possessing a positive attitude toward cultural heritage, and producing commercial value products. The result of this study on the entrepreneurship-learning model is that the developed entrepreneurship-learning model based on the local potential of bidai t is said as a valid and effective learning model.

scholarly journals Preliminary study of rib articulated model based on dynamic fluoroscopy images

2014 ◽  
Author(s):  
Pierre-Frederic Villard ◽  
Pierre Escamilla ◽  
Erwan Kerrien ◽  
Sebastien Gorges ◽  
Yves Trousset ◽  
...  
Keyword(s):  
Model Based ◽  
Articulated Model ◽  
Preliminary Study

scholarly journals Levels and diagnostic value of model-based insulin sensitivity in sepsis: A preliminary study

2018 ◽  
Vol 22 (6) ◽  
pp. 402-407 ◽  
Author(s):  
Wan Fadzlina Wan Muhd Shukeri ◽  
Mohd Basri Mat-Nor ◽  
Ummu Kulthum Jamaludin ◽  
Fatanah Suhaimi ◽  
Normy Norafiza Abd Razak ◽  
...  
Keyword(s):  
Insulin Sensitivity ◽  
Diagnostic Value ◽  
Model Based ◽  
Preliminary Study

scholarly journals Research on Uyghur-Chinese Neural Machine Translation Based on the Transformer at Multistrategy Segmentation Granularity

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Zhiwang Xu ◽  
Huibin Qin ◽  
Yongzhu Hua
Keyword(s):  
Neural Networks ◽  
Machine Translation ◽  
Semantic Features ◽  
Training Method ◽  
Chinese Translation ◽  
Neural Machine Translation ◽  
Translation Model ◽  
Parallel Corpus ◽  
Model Based ◽  
Translation Systems

In recent years, machine translation based on neural networks has become the mainstream method in the field of machine translation, but there are still challenges of insufficient parallel corpus and sparse data in the field of low resource translation. Existing machine translation models are usually trained on word-granularity segmentation datasets. However, different segmentation granularities contain different grammatical and semantic features and information. Only considering word granularity will restrict the efficient training of neural machine translation systems. Aiming at the problem of data sparseness caused by the lack of Uyghur-Chinese parallel corpus and complex Uyghur morphology, this paper proposes a multistrategy segmentation granular training method for syllables, marked syllable, words, and syllable word fusion and targets traditional recurrent neural networks and convolutional neural networks; the disadvantage of the network is to build a Transformer Uyghur-Chinese Neural Machine Translation model based entirely on the multihead self-attention mechanism. In CCMT2019, dimension results on Uyghur-Chinese bilingual datasets show that the effect of multiple translation granularity training method is significantly better than the rest of granularity segmentation translation systems, while the Transformer model can obtain higher BLEU value than Uyghur-Chinese translation model based on Self-Attention-RNN.

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