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Surface forms of words are those found in natural language text. The corresponding lexical form of a surface form is the lemma followed by grammatical information (for example the part of speech, gender and number). In English give, gives, giving, gave and given are surface forms of the verb give. The lexical form would be "give", verb.
For other Macros, see mw:Word macros, Visual Basic macros to use within Microsoft Word to prepare content to be pasted into a Wikipedia page. wikEd , a full-featured in-browser text editor for Wikipedia edit pages that can convert text and tables pasted from Microsoft Word with a button click
The bold links at the top of each cell lead to detailed pages which describe the templates in that section in detail and explain how and when to use them.. If you cannot find the template you are looking for, please click on the section headers that seem most relevant, since there may be templates for a particular usage covered on the detailed pages, but not listed in the table below.
In CODASYL databases it's called 'owner-member'. A master–detail relationship is a one-to-many type relationship. Examples of a master-detail relationship are: a set of purchase orders and a set of line items belonging to each purchase order, an expense report with a set of expense line items or a department with a list of employees belonging to it.
Source editor – edits the wikitext of the article, which uses some special characters, like adding [[brackets]] to create a link to another page, or asterisks to make bullet points. Visual Editor – a tool similar to a word processor, for editing articles without the need to understand any special codes or markup. Visual Editor is the default.
Forms can be published to a network share or to SharePoint Server. Adding data validation, using validation formulae, and conditional formatting features without manually writing code. Print Layout view for designing forms in a view that mirror the printed layout. Such forms can be opened using Word as well.
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WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms.The synonyms are grouped into synsets with short definitions and usage examples.