Abstract: A system for determining a similarity between a name phrase and a comparison name phrase, for each name in the name phrase, scores the name. The scoring is based on the field frequency of the name in a name database, where the field frequency indicates a given name frequency and/or a surname frequency in the database. The system uses the scoring to determine a transition from a given name to a surname in the name phrase. The system determines a primary given name and a primary surname in the name phrase based on the scoring and the transition. The system uses the primary given name and primary surname to determine a similarity between the name phrase and a comparison name phrase, where the comparison name phrase comprises a comparison given name and a comparison surname.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A system for determining a similarity between a name phrase and a comparison name phrase, for each name in the name phrase, scores the name. The scoring is based on the field frequency of the name in a name database, where the field frequency indicates a given name frequency and/or a surname frequency in the database. The system uses the scoring to determine a transition from a given name to a surname in the name phrase. The system determines a primary given name and a primary surname in the name phrase based on the scoring and the transition. The system uses the primary given name and primary surname to determine a similarity between the name phrase and a comparison name phrase, where the comparison name phrase comprises a comparison given name and a comparison surname.

Abstract: A system for determining a similarity between a name phrase and a comparison name phrase, for each name in the name phrase, scores the name. The scoring is based on the field frequency of the name in a name database, where the field frequency indicates a given name frequency and/or a surname frequency in the database. The system uses the scoring to determine a transition from a given name to a surname in the name phrase. The system determines a primary given name and a primary surname in the name phrase based on the scoring and the transition. The system uses the primary given name and primary surname to determine a similarity between the name phrase and a comparison name phrase, where the comparison name phrase comprises a comparison given name and a comparison surname.

Abstract: A system for determining a similarity between a name phrase and a comparison name phrase, for each name in the name phrase, scores the name. The scoring is based on the field frequency of the name in a name database, where the field frequency indicates a given name frequency and/or a surname frequency in the database. The system uses the scoring to determine a transition from a given name to a surname in the name phrase. The system determines a primary given name and a primary surname in the name phrase based on the scoring and the transition. The system uses the primary given name and primary surname to determine a similarity between the name phrase and a comparison name phrase, where the comparison name phrase comprises a comparison given name and a comparison surname.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: Provided are techniques for comparing names. A first phrase score is obtained by comparing a name phrase in a first name to a name phrase in a second name. A second phrase score is obtained by comparing another name phrase in the first name to another name phrase in the second name. An overall score is generated based on the obtained first phrase score and the obtained second phrase score. The overall score is updated based on comparing features of the first name with features of the second name.

Abstract: Provided are techniques for comparing names. A first phrase score is obtained by comparing a name phrase in a first name to a name phrase in a second name. A second phrase score is obtained by comparing another name phrase in the first name to another name phrase in the second name. An overall score is generated based on the obtained first phrase score and the obtained second phrase score. The overall score is updated based on comparing features of the first name with features of the second name.

Abstract: Provided are techniques for parsing a name. A name to be parsed is received. A culture of the name is identified. One or more name phrases from the name are identified. Statistics for the one or more name phrases are identified. It is determined whether to perform a first parsing technique that parses different types of name elements within at least one field of the name. In response to determining that the first parsing technique is to be performed, the name is parsed using the statistics and the first parsing technique. In response to determining that the first parsing technique is not to be performed, the name is parsed using the statistics and a second parsing technique.

Abstract: Provided are techniques for identifying related names. A collection of names from different languages is stored, wherein each of the names has a native orthographic form and a romanized form. An input name is received in a known encoding scheme. An alphabet of the input name is determined based on the known encoding scheme. One or more romanized names are generated based on the query name and the determined query name alphabet. Culture-sensitive regularization rules are applied to create an additional romanized name. The one or more romanized names and the additional romanized name are matched against the romanized names in the collection of names from the different languages. Data store records that have romanized names that match the one or more romanized names or the additional romanized name are returned.

Abstract: Provided are techniques for comparing names. A first phrase score is obtained by comparing a name phrase in a first name to a name phrase in a second name. A second phrase score is obtained by comparing another name phrase in the first name to another name phrase in the second name. An overall score is generated based on the obtained first phrase score and the obtained second phrase score. The overall score is updated based on comparing features of the first name with features of the second name.

Abstract: Provided are techniques for comparing names. A first phrase score is obtained by comparing a name phrase in a first name to a name phrase in a second name. A second phrase score is obtained by comparing another name phrase in the first name to another name phrase in the second name. An overall score is generated based on the obtained first phrase score and the obtained second phrase score. The overall score is updated based on comparing features of the first name with features of the second name.

Abstract: Provided are techniques for parsing a name. A name to be parsed is received. A culture of the name is identified. One or more name phrases from the name are identified. Statistics for the one or more name phrases are identified. It is determined whether to perform a first parsing technique that parses different types of name elements within at least one field of the name. In response to determining that the first parsing technique is to be performed, the name is parsed using the statistics and the first parsing technique. In response to determining that the first parsing technique is not to be performed, the name is parsed using the statistics and a second parsing technique.

Abstract: Provided are techniques for identifying related names. A collection of names from different languages is stored, wherein each of the names has a native orthographic form and a romanized form. An input name is received in a known encoding scheme. An alphabet of the input name is determined based on the known encoding scheme. One or more romanized names are generated based on the query name and the determined query name alphabet. Culture-sensitive regularization rules are applied to create an additional romanized name. The one or more romanized names and the additional romanized name are matched against the romanized names in the collection of names from the different languages. Data store records that have romanized names that match the one or more romanized names or the additional romanized name are returned.