
- #How to edit custom dictionary in word 2007 how to#
- #How to edit custom dictionary in word 2007 code#
- #How to edit custom dictionary in word 2007 trial#
#How to edit custom dictionary in word 2007 code#
To exclude a term from the list of terms that code analysis identifies as correctly spelled, add the term to exclude as the inner text of a Dictionary/Words/Unrecognized/Word element. Terms in Dictionary/Words/Recognized nodes are applied to the following code analysis rules:ĬA1701: Resource string compound words should be cased correctlyĬA1702: Compound words should be cased correctlyĬA1703: Resource strings should be spelled correctlyĬA1704: Identifiers should be spelled correctlyĬA1709: Identifiers should be cased correctlyĬA2204: Literals should be spelled correctly Terms in Dictionary/Words/Recognized/Word elements are not case-sensitive. You can modify the behavior of the Code Analysis dictionary by adding terms as the inner text of the following elements in the custom include a term in the list of terms that code analysis identifies as correctly spelled, add the term as the inner text of a Dictionary/Words/Recognized/Word element. To create a custom dictionaryĬreate a file that is named CustomDictionary.xml.ĭefine your custom words by using the following XML structure: To force code analysis to recognize the spelling, you can add the term knokker to the custom dictionary. It would then raise a warning that knokker was not spelled correctly. Code Analysis would identify the name as a compound of two words: door and knokker. You can create a custom dictionary Xml file to add, remove, or modify terms, abbreviations, and acronyms to the built-in dictionary.įor example, suppose your code contained a class named DoorKnokker. Given the complexity of the English language, this real-world information is a tremendous spell-checking boon.Code Analysis uses a built-in dictionary to check identifiers in your code for errors in spelling, grammatical case, and other naming conventions of the. (The edit distance there is three just switch the b and o, add a t, add an n.) Most search engines, by comparison, complement the edit-distance method with a huge amount of data on common mistakes.
#How to edit custom dictionary in word 2007 how to#
(For the nitty-gritty on this, see Google research director Peter Norvig’s paper on how to write a spell-check program.) While edit distance usually works pretty well for word processors, it can produce some funny suggestions, like Boatman for Obama.
#How to edit custom dictionary in word 2007 trial#
Duck has an edit distance of one from luck, and trial and trail are also just one edit away. Most word processors make suggestions using the concept of “edit distance”-basically the number of letters you have to change, add, delete, or switch to transform one word into another. I also suspect the search-engine model would do a better job at suggesting the right word when you really did make an error. A word processor powered by search-engine spelling could handle overchicked just fine.) What would happen if Google’s search technology was ported into a word processor? First, the spell-checker would recognize the bulk of any document’s proper nouns (no more squiggly red line under DiCaprio) as well as any new terms the kids are using these days (Urban Dictionary tells me, for example, that overchicked is an adjective used to describe a man who is significantly less attractive than his female companion. If you type in Monkees, Google will assume you’re searching for the band Word will give you a red squiggly line, thinking you’ve screwed up the word monkeys. In other words, search engines put breadth first and spelling accuracy second while word processors are the other way around. This way, a program like Word can catch virtually every typo, even if it means misidentifying some proper names and newer words. Word processors are much more conservative, limiting their lexicon to words that are definitely legitimate. The latter has to field queries as broad and varied as the Internet itself, so it needs a very large vocabulary in order to differentiate spelling mistakes from legitimate search terms. What’s behind this disparity? Word processors and search engines have different goals. Live and Google recognize the term just fine, however, and can retrieve it as a correction for a basic misspelling like pharmung. Neither Microsoft Word nor the Google Docs spell-checker, the latter of which is based on an open-source tool called GNU Aspell, have heard of the word. For another example, take a reasonably new tech neologism like pharming.
