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List Consolidation

 

SCENARIO

A web producer has collected about 100 tag lists from different post pages, which contain a total of 500 to 600 tag phrases. He needs to consolidate all tags’ phrases into one list, with repeated tags removed and the remaining unique tags sorted. The task will certainly be time consuming, tedious, and error-prone if he were to do it manually.

 

SOLUTION

Use a WorkWaltz custom automation tool to get all lists consolidated, with repeated tags removed, the remaining tags sorted, and the final list outputted to a text file and the clipboard, in 1 second.

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E-Book Editing

 

SCENARIO

An ebook editor-in-chief is working on a foreign language masterpiece with 120 long chapters. In the .xhtml files he received from a content vendor, his editorial staff has identified 3,000+ distinguished global errors ranging from single corrupted characters and incorrect formatting codes to incorrect text of all sorts and all lengths. The editorial staff has worked out a correction for each error, and has listed these 3,000+ error-correction text pairs in a spreadsheet. The task now is to implement these corrections globally, which means performing a global find-replace action for each of the 3,000+ errors in all 120 chapters, or to repeat the find-replace operation a total of 360,000+ times. Assuming a speed of 30 seconds per action using the text editor’s built-in find and replace-all feature, it will take 3,000+ work hours, or more than a year and four months for one person, to implement all corrections by manual operation.

 

SOLUTION

Use a WorkWaltz custom automation tool to complete the global find-replace operations for all 3,000+ errors, in all 120 .xhtml files, in less than an hour.

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Text Excerption

 

SCENARIO

A content manager has a folder of 150 text files exported from a content database, one file for each record. He needs to excerpt four particular paragraphs from each file and organize these excerpts into a spreadsheet for further processing. Since these paragraphs are spread all over the file, if he is to do this manually, he will have to copy-paste a total of 600 times, accompanied by scrolling up and down each time. This is estimated to take about two hours, and is expected to be error-prone.

 

SOLUTION

Use a WorkWaltz custom automation tool to excerpt the four object paragraphs from all 150 files, and organize them into a new spreadsheet in less than two minutes.

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UI Localization QA

 

SCENARIO

A localization producer has a master key-value sheet containing the source English text and 35 target languages’ text of some 1,000+ keys. She knows that some white spaces have been introduced at the ends of the translated text for some languages and some keys due to translator mistakes. Because these white spaces can cause bugs, she needs to check all the keys for all the languages and remove any found trailing spaces. To do that she will need to click through each of the 35,000+ cells because white spaces are invisible on the spreadsheet. She estimates that by manual operation at an average speed of 1 cell per second, it will take her at least 1.5 days to complete, with the understanding that it can be hard to avoid errors due to the tediousness of the work.

 

SOLUTION

Use a WorkWaltz custom automation tool to process the spreadsheet: all trailing spaces will be removed in a few minutes.

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Email Localization QA

 

SCENARIO

An e-commerce localization QA manager has 40 web email files in plain text format, each in a different language translated from a single English source text which contains four particular parameters, each occurring a particular number of times. She needs to quickly verify that all four parameters are intact and that each occurs the correct number of times in each file. The routine way for her to do this is to send these files out to a localization vendor where each email is verified by a linguist of the local language. Unfortunately, none of their vendors has linguists for all 40 languages available at the time.

 

SOLUTION

Use a WorkWaltz custom automation tool to read all the emails, and a report that lists the number of occurrences of each parameter in each file, with any file that contains incorrect number of any of the parameters highlighted, will be generated in 15 seconds.