Abstract: Conceptually related term identification technique embodiments are presented that involve identifying in the results of a search query, terms that are conceptually related to the search query terms. In one general embodiment, this is accomplished by first inputting the terms employed in a search query and the results of the search. Word tokens found in the search query terms are then identified, as are potential phrases that can be made from the identified word tokens. Conceptually related words and phrases are then identified in the search query results. These words and phrases correspond to the previously identified word tokens and potential phrases. The search query results are presented to a user on a display device in such a manner as to visually distinguish the conceptually related words and phrases from other words and phrases in the search query results.

Abstract: A system is disclosed for checking grammar and usage using a flexible portfolio of different mechanisms, and automatically providing a variety of different examples of standard usage, selected from analogous Web content. The system can be used for checking the grammar and usage in any application that involves natural language text, such as word processing, email, and presentation applications. The grammar and usage can be evaluated using several complementary evaluation modules, which may include one based on a trained classifier, one based on regular expressions, and one based on comparative searches of the Web or a local corpus. The evaluation modules can provide a set of suggested alternative segments with corrected grammar and usage. A followup, screened Web search based on the alternative segments, in context, may provide several different in-context examples of proper grammar and usage that the user can consider and select from.

Abstract: A system is disclosed for checking grammar and usage using a flexible portfolio of different mechanisms, and automatically providing a variety of different examples of standard usage, selected from analogous Web content. The system can be used for checking the grammar and usage in any application that involves natural language text, such as word processing, email, and presentation applications. The grammar and usage can be evaluated using several complementary evaluation modules, which may include one based on a trained classifier, one based on regular expressions, and one based on comparative searches of the Web or a local corpus. The evaluation modules can provide a set of suggested alternative segments with corrected grammar and usage. A followup, screened Web search based on the alternative segments, in context, may provide several different in-context examples of proper grammar and usage that the user can consider and select from.