Search Results - "Cho, Hyunchang"

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  1. 1

    Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data by Ko, Taehoon, Lee, Je Hyuk, Cho, Hyunchang, Cho, Sungzoon, Lee, Wounjoo, Lee, Miji

    Published in Industrial management + data systems (12-06-2017)
    “…Purpose Quality management of products is an important part of manufacturing process. One way to manage and assure product quality is to use machine learning…”
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    Journal Article
  2. 2

    Virtual metrology for copper-clad laminate manufacturing by Kim, Misuk, Kang, Seokho, Lee, Jehyuk, Cho, Hyunchang, Cho, Sungzoon, Park, Jee Su

    Published in Computers & industrial engineering (01-07-2017)
    “…[Display omitted] •Virtual metrology(VM) applied to real data of Copper-clad laminate(CCL) manufacturing.•Through modeling tests, we found variables - easily…”
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    Journal Article
  3. 3

    Specializing Multi-domain NMT via Penalizing Low Mutual Information by Lee, Jiyoung, Kim, Hantae, Cho, Hyunchang, Choi, Edward, Park, Cheonbok

    Published 23-10-2022
    “…Multi-domain Neural Machine Translation (NMT) trains a single model with multiple domains. It is appealing because of its efficacy in handling multiple domains…”
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    Journal Article
  4. 4

    DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation by Park, Cheonbok, Kim, Hantae, Calapodescu, Ioan, Cho, Hyunchang, Nikoulina, Vassilina

    Published 20-04-2022
    “…Domain Adaptation (DA) of Neural Machine Translation (NMT) model often relies on a pre-trained general NMT model which is adapted to the new domain on a sample…”
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    Journal Article
  5. 5

    Revisiting Round-Trip Translation for Quality Estimation by Moon, Jihyung, Cho, Hyunchang, Park, Eunjeong L

    Published 28-04-2020
    “…Quality estimation (QE) is the task of automatically evaluating the quality of translations without human-translated references. Calculating BLEU between the…”
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    Journal Article
  6. 6

    Kosp2e: Korean Speech to English Translation Corpus by Cho, Won Ik, Kim, Seok Min, Cho, Hyunchang, Kim, Nam Soo

    Published 06-07-2021
    “…Most speech-to-text (S2T) translation studies use English speech as a source, which makes it difficult for non-English speakers to take advantage of the S2T…”
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    Journal Article