Address analysis using morphemes

A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:

• receiving a first address and a second address representing one or more physical locations involved in an online transaction, the first address including n morphemes and the second address including m morphemes, wherein a morpheme is a smallest semantic unit in an address, and wherein n and m are both natural numbers;
• determining first correlation values between the n morphemes and the m morphemes;
• for each of the n morphemes as a first morpheme:
• selecting a second morpheme of the m morphemes that best matches the first morpheme based on the first correlation values and a preset algorithm;
• and
• recording a target correlation value between the first morpheme and the second morpheme as part of a set of n target correlation values;
• obtaining a second correlation value between the first address and the second address based on the n target correlation values, wherein the second correlation value is a summation of a plurality of values of the n target correlation values;
• and
• analyzing a correlation between the first address and the second address based on the second correlation value.

A computer-implemented system, comprising:

• one or more computers;
• and
• one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, perform one or more operations comprising:
• receiving a first address and a second address representing one or more physical locations involved in an online transaction, the first address including n morphemes and the second address including m morphemes, wherein a morpheme is a smallest semantic unit in an address, and wherein n and m are both natural numbers;
• determining first correlation values between the n morphemes and the m morphemes;
• for each of the n morphemes as a first morpheme:
• selecting a second morpheme of the m morphemes that best matches the first morpheme based on the first correlation values and a preset algorithm;
• and
• recording a target correlation value between the first morpheme and the second morpheme as part of a set of n target correlation values;
• obtaining a second correlation value between the first address and the second address based on the n target correlation values, wherein the second correlation value is a summation of a plurality of values of the n target correlation values;
• and
• analyzing a correlation between the first address and the second address based on the second correlation value.