A Reflexive Flextext Refactoring Tool

This webtool allows users to easily transform and transfer interlinear texts from SIL's Fieldworks Language Explorer into word processing tools in a format which should be accepted by journals and publishing companies.

Getting Started

Before you can use Reflex, it needs access to your language data.

• Get a .flextext file of the texts you'll be using.
  • In FieldWorks, navigate to Texts & Words and select Interlinear Texts.
  • Then, open the File menu in the top left corner and click Export Interlinear.
  • Select the line which has the extension 'FLEXTEXT' and click Export.
  • Select the texts you want to be able to access and click OK.
  • Choose a location to store your .flextext file.
• Upload the .flextext file to Reflex
  • In Reflex, click UPLOAD DATA SOURCE.
  • Select the file you want to upload and click Open to upload it.
    ( This file is now added to a list of available .flextext data sources which can be accessed in the Data Source dropdown. )

Now that it has your interlinear texts, tell Reflex which phrase you want by putting text into the Input field.

• I recommend copying and pasting the data directly from the Fieldworks Interlinear Texts, from either the Gloss, Analyze, or Print View tabs.

When you're satisfied with the content of the Output field, click COPY TO CLIPBOARD.

• You should see a pop-up notification of success.

Now go to your supported word processor and paste your formatted phrase into your document. Congratulations!

Having problems? Feel free to create an issue here. Don't be a stranger!

Supported Word Processors

• Microsoft Word
• Google Docs (sub-optimally)

(If you're using Google Docs, you'll have better results if you paste without formatting using ctrl+shift+v. I intend to improve this in the future.)

Planned Support

• Google Docs (improved)
• LaTeX
• XLingPaper
• LibreOffice

Supported Browsers

• Google Chrome
• Mozilla Firefox

This tool is based heavily on Larry Hayashi's "Linguistic Interlinear Text Exampler" XSLT Script and our joint application of the same name. Many thanks to him for his work and mentorship.

The tool is built in Typescript and React, making use of several well-known libraries such as Material-UI and Redux, and hosted right here on Github Pages. If you'd like to contribute to this tool, feel free to shoot me a message here, and check out the CRA scripts I use in development.