Enhanced linguistic transformation

A method of speech recognition, the method comprising the steps of:

• providing at least one spoken input to a plurality of speech recognition modules, wherein at least one speech recognition module has a different configuration than at least another speech recognition module;
• obtaining at least one recognition output from each of at least a subset of the plurality of speech recognition modules;
• and
• generating a recognition output set, wherein the recognition output set comprises at least a portion of a set of distinct recognition outputs obtained from the speech recognition modules.

A system for linguistic transformation, the system comprising:

• a memory;
• and
• at least one processor coupled to the memory and operative to:
• provide at least one input to a plurality of modules, wherein at least one module has a different configuration than at least another module;
• obtain at least one output from each of at least a subset of the plurality of modules;
• and
• generate an output set, wherein the output set comprises at least a portion of a set of distinct outputs obtained from the modules, and
• wherein the input and the output comprise linguistic representations and at least a portion of the output is a result of applying one or more linguistic transformations to at least a portion of the input.

An article of manufacture for linguistic transformation, comprising a machine readable medium containing one or more programs which when executed implement the steps of:

• providing at least one input to a plurality of modules, wherein at least one module has a different configuration than at least another module;
• obtaining at least one output from each of at least a subset of the plurality of modules;
• and
• generating an output set, wherein the output set comprises at least a portion of a set of distinct outputs obtained from the modules;
• wherein the input and the output comprise linguistic representations and at least a portion of the output is the result of applying one or more linguistic transformations to at least a portion of the input.

A method of displaying a plurality of results so as to emphasize component-level differences, the method comprising the steps of:

• determining at least one primary result within the plurality of results;
• displaying the at least one primary result with at least a first set of color attributes;
• and
• displaying at least one alternative result with at least a second set of color attributes,
• wherein each result represents an application of at least one linguistic transformation to a common input, and
• wherein each result comprises a plurality of components.

A system for displaying a plurality of results so as to emphasize component-level differences, the system comprising:

• a memory;
• and
• at least one processor coupled to the memory and operative to:
• determine at least one primary result within the plurality of results;
• display the at least one primary result with at least a first set of color attributes;
• and
• display at least one alternative result with at least a second set of color attributes,
• wherein each result represents an application of at least one linguistic transformation to a common input, and
• wherein each result comprising a plurality of components.

An article of manufacture for displaying a plurality of results so as to emphasize component-level differences, the article comprising a machine readable medium containing one or more programs which when executed implement the steps of:

• determining at least one primary result within the plurality of results;
• displaying the at least one primary result with at least a first set of color attributes;
• and
• displaying at least one alternative result with at least a second set of color attributes,
• wherein each result represents an application of at least one linguistic transformation to a common input, and
• wherein each result comprises a plurality of components.

A method of linguistic transformation, the method comprising the steps of:

• providing at least one input to a plurality of modules, wherein at least one module has a different configuration than at least another module;
• obtaining at least one output from each of at least a subset of the plurality of modules;
• generating an output set, wherein the output set comprises at least a portion of a set of distinct outputs obtained from the modules,
• determining at least one primary result within the output set;
• displaying the at least one primary result with at least a first set of color attributes;
• and
• displaying at least one alternative result with at least a second set of color attributes,
• wherein the input and the output comprise linguistic representations and at least a portion of the output is a result of applying one or more linguistic transformations to at least a portion of the input.