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    <title>Code-switching Sentence Generation</title>
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        <h1 align="center">Code-switching Sentence Generation</h1>
        <h2 align="center">by Generative Adversarial Networks and its Application to Data Augmentation</h3>
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        <h5 align="right">Ching-Ting Chang, Shun-Po Chuang, Hung-Yi Lee</h5>
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            Home</a>
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            <a class="nav-link" href="/Code-Switching-Sentence-Generation-by-GAN/csp.html" >
            CSP prediction</a>
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            CS Generation</a>
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        ♥Introduction</a>
        <a class="nav-link" href="/Code-Switching-Sentence-Generation-by-GAN/good-ss.html" >
        ♥Good LectureSS</a>
        <a class="nav-link" href="/Code-Switching-Sentence-Generation-by-GAN/good-seame.html" >
        ♥Good SEAME</a>
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        ♥Bad LectureSS</a>
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        ♥Bad SEAME</a>
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        <h3 align="center">Code-switching (CS) generation</h3>
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        <h5 align="center">It indicated the second and third experiments in our paper.</h5>
        <h5 align="center">(Note: the generated text in the 2nd experiment is viewed as testing text,</h5>
        <h5 align="center">while the generated text in the 3rd experiment is viewed as training text)</h5>
        <h5 align="center">You can see some examples of CS generation by clicking the links on the top.</h5>
        <h5 align="center">We show good and bad examples in LectureSS and SEAME separately.</h5>
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        <h5 align="center">The good examples show that our proposed method can transform</h5>
        <h5 align="center">some Chinese sentences into reasonable code-switching sentences.</h5>
        <h5 align="center">However, it also generated terrible sentences because of bad translation</h5>
        <h5 align="center">directly to English and various speaking styles in different languages.</h5>

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