Follow these steps to extract term candidates from a monolingual document into a
glossary.
About this task
Term extraction scans a document and proposes frequently occurring word sequences
as
candidate terms, which are reviewed before being saved to a glossary. Common words
are
filtered out automatically using stop
words. For background, see Term Extraction.
Procedure
Select Tasks → Term Extraction from the main menu or click the button on the toolbar.
The Term Extraction dialog is displayed:
Type the name of the document to analyze in the Source
File box or click the Browse... button
next to it to select it from the file system.
Type the name of the glossary to create in the GlossML
File box or click the Browse... button
next to it to select a name and location.
Select the language of the document from the Source
Language drop-down list.
If necessary, correct the format in the File Type
drop-down list.
Anchovy uses OpenXLIFF to detect the file type and
character set automatically, so they usually do not need to be changed. Manual
selection is only needed when the format is ambiguous, as with plain text files.
The list contains the document formats supported by OpenXLIFF, such as office
documents, HTML and XML files.
If necessary, correct the character set in the Character
Set drop-down list.
Indicate in the Minimum Frequency selector the minimum
number of times a candidate term must appear in the document.
A higher value keeps only terms that appear often, producing fewer but more
reliable candidates. A lower value surfaces more candidates, including infrequent
ones.
Indicate in the Maximum Term Length selector the maximum
number of words a candidate term can contain.
Term length is measured in words. Set it to 1 to extract only single words, or
to a higher value to also capture multi-word phrases.
Click the Extract Candidates button.
The document is analyzed and the list of candidate terms is displayed in
the Term Candidates dialog:
Review the list of candidates. Select the candidates to discard and click the
Remove Selected button.
Besides the candidate term, the list shows a Score and
the values used to calculate it: Casing,
Position, Frequency,
Relevance, Relatedness and
Different. These are statistically relevant for
deciding what to propose, but they do not need to be interpreted. Read the
candidate terms and keep or discard each one using professional judgement.
Optionally, select the Open generated glossary checkbox
to open the new glossary in Anchovy after saving.
Click the Save Glossary button to store the remaining
candidates in the glossary.
Results
A glossary containing the selected term candidates is created and, optionally, opened
in Anchovy.