Abstract: Described herein are systems and methods for identifying the similarity between language characters. As described herein, a pair of language characters is received at a language character match engine. The language character match engine is adapted to receive encoding configuration information from each of a plurality of encoding components, and is adapted to encode the pair of language characters based on the unique structure of each language character to generate a pair of string identification characters for each encoding component. Thereafter, each pair of string identification characters is compared to one another to generate a similarity score, and the similarity score for each pair of string identification characters is combined to create a composite similarity score. The composite similarity score represents a similarity between the pair of language characters, and is used to identify the similarity between the pair of language characters.

Abstract: Described herein are systems and methods for identifying the similarity between language characters. As described herein, a pair of language characters is received at a language character match engine. The language character match engine is adapted to receive encoding configuration information from each of a plurality of encoding components, and is adapted to encode the pair of language characters based on the unique structure of each language character to generate a pair of string identification characters for each encoding component. Thereafter, each pair of string identification characters is compared to one another to generate a similarity score, and the similarity score for each pair of string identification characters is combined to create a composite similarity score. The composite similarity score represents a similarity between the pair of language characters, and is used to identify the similarity between the pair of language characters.