Clik here to view.
How do I identify a term—confusability
Let’s continue in our series of designators to include in a terminology database. Today, we will focus on the question: Can this designator be confused with another? More specifically, is there a...
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How do I identify a term—specialization
You may have noticed that no two people involved in term selection will make the exact same choices; each person’s list would look slightly differently. And depending on the users of the database,...
View ArticleClik here to view.
How do I identify a term—frequency and distribution
A seemingly obvious criterion to select terms for a terminology database is frequency of occurrence. A term extraction program, for example, should tell us how often a term appears in the text mined....
View ArticleClik here to view.
How do I identify a term—novelty
In the posting for frequency and distribution, the focus was on automated term extraction output. Today’s criterion for term selection will pertain more often to manual term extraction. For consistency...
View ArticleClik here to view.
How do I identify a term—visibility
Yesterday’s example was the term ribbon. While the concept was an innovation at the time that is quite prevalent in software today, the term is not necessarily highly visible. Today’s focus will be on...
View ArticleClik here to view.
How do I identify a term—system
Here is one that is forgotten often in fast-paced, high-production environments: system. This at first glance cryptic criterion refers to terms that may not be part of our text or our list of term...
View ArticleClik here to view.
How do I identify a term—standardization
The final criterion in this blog series on how to identify terms is, in my mind, one of the most important ones—standardization. Standardized usage and spelling makes the life of the product user much...
View ArticleClik here to view.
How do I identify a term—confusability
Let’s continue in our series of designators to include in a terminology database. Today, we will focus on the question: Can this designator be confused with another? More specifically, is there a...
View ArticleClik here to view.
How do I identify a term—specialization
You may have noticed that no two people involved in term selection will make the exact same choices; each person’s list would look slightly differently. And depending on the users of the database,...
View ArticleClik here to view.
How do I identify a term—frequency and distribution
A seemingly obvious criterion to select terms for a terminology database is frequency of occurrence. A term extraction program, for example, should tell us how often a term appears in the text mined....
View ArticleClik here to view.
How do I identify a term—novelty
In the posting for frequency and distribution, the focus was on automated term extraction output. Today’s criterion for term selection will pertain more often to manual term extraction. For consistency...
View ArticleClik here to view.
How do I identify a term—visibility
Yesterday’s example was the term ribbon. While the concept was an innovation at the time that is quite prevalent in software today, the term is not necessarily highly visible. Today’s focus will be on...
View ArticleClik here to view.
How do I identify a term—system
Here is one that is forgotten often in fast-paced, high-production environments: system. This at first glance cryptic criterion refers to terms that may not be part of our text or our list of term...
View ArticleClik here to view.
How do I identify a term—standardization
The final criterion in this blog series on how to identify terms is, in my mind, one of the most important ones—standardization. Standardized usage and spelling makes the life of the product user much...
View ArticleHow do I identify a term—confusability
Let’s continue in our series of designators to include in a terminology database. Today, we will focus on the question: Can this designator be confused with another? More specifically, is there a...
View ArticleHow do I identify a term—specialization
You may have noticed that no two people involved in term selection will make the exact same choices; each person’s list would look slightly differently. And depending on the users of the database,...
View ArticleHow do I identify a term—frequency and distribution
A seemingly obvious criterion to select terms for a terminology database is frequency of occurrence. A term extraction program, for example, should tell us how often a term appears in the text mined....
View ArticleHow do I identify a term—novelty
In the posting for frequency and distribution, the focus was on automated term extraction output. Today’s criterion for term selection will pertain more often to manual term extraction. For consistency...
View ArticleHow do I identify a term—visibility
Yesterday’s example was the term ribbon. While the concept was an innovation at the time that is quite prevalent in software today, the term is not necessarily highly visible. Today’s focus will be on...
View ArticleHow do I identify a term—system
Here is one that is forgotten often in fast-paced, high-production environments: system. This at first glance cryptic criterion refers to terms that may not be part of our text or our list of term...
View Article
