Calculating a match - On Premises 6.4

Author-it Xtend

Author-it Xtend uses a similarity matrix to compare text fragments. The results are based on the similarity between fragments, calculated by comparing the number of identical words in each paragraph.

Note: Fuzzy matching is more exact, and so will return fewer results. Relevance matching is less exact, and so should return a larger number of suggestions.

Author-it Xtend uses two matching methods:

  • Fuzzy matching: Looks at the similarity of the fragments and makes a comparison based on words common to both fragments, and to the order in which they appear in both fragments. You can also define your own fuzzy match highlighting levels in the Authoring Memory tab.
  • Relevance matching: Looks at the similarity of the fragments and makes a comparison based on words common to both fragments. Relevance matching does not take into account the order of the words.

Match Mode Slider
Both methods make a comparison based on the unique words in a fragment, ignoring any subsequent instances of a word if they occur in the fragment. For example, in the fragment Install the sound driver after you install the video driver, the words install and driver are only counted once.

User options enable you set the level of similarity used by Author-it Xtend, controlling the number of text fragments returned as a match. Higher settings return fewer suggested fragments, but should produce a closer match to the text being typed. Lower settings will return a larger number of results, because the suggested fragments will have a lower match ratio.

You can customize the match settings through the User Option settings:

  • In the Author Editor, click Edit > Author-it Xtend > Author-it Xtend Dialog Box Launcher.

    Xtend Dialog Box Launcher Toolbar Options in Author

  • In the Author main window, click File > Author-it Options > Author-it Xtend.
  • In Contribute, open the Options screen.