Termbases for Trados

1. Data collection 2.1 Build Webclawer 2.2 Chrome configuration 2.3 Selenium configuration 2.4 Identifying data by XPath 2.5 Dealing with Exceptions while True: try: brower = .... pending_number = .... if pending_number == 0: break

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    except Exception:

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        brower.close()

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        browser.quit()

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        continue

1. Data cleaning df = df.drop("Unnamed: 0", "letter", axis=1)
2. Data processing i. pd.to_csv(path, encoding="utf-8-sig", index=False)
3. Data conversion i. Use Multiterm Converter to convert csv file by Spreadsheet options ii. Create termbase using Multiterm iii. Import termbase definition file created by Multiterm Converter iv. Import xml file created by Multiterm Converter

Russian-english and russian-chinese termbases for trados haved been create and used for translation.

python 企业 机器翻译

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