1. A computer-implemented method for determining proximity measurements indicating respective intended inputs for corresponding original inputs, the method comprising: receiving Pinyin inputs; converting the Pinyin inputs to corresponding candidates, each of the corresponding candidates comprising one or more Hanzi characters; receiving rates of user selections for each of the corresponding candidates, the rates indicating how often users select each of the corresponding candidates; identifying, from the received rates, Pinyin inputs converted to candidates having low rates of user selection as non-selected Pinyin inputs; identifying, from the received rates, Pinyin inputs converted to candidates having higher rates of user selection than the non-selected Pinyin inputs, as intended Pinyin inputs; comparing the intended Pinyin inputs to the non-selected Pinyin inputs to identify one or more-non-selected Pinyin input and intended Pinyin input pairs; for each non-selected Pinyin input, determining a number of times that users did not select from the corresponding candidates and a number of times the non-selected Pinyin input was entered as input by users; and generating a proximity measurement for each-non-selected Pinyin input and intended Pinyin input pair based on a ratio of the number of times the corresponding candidates were not selected by users to the number of times the non-selected Pinyin input was entered as input by users.
1. A computer-implemented method for determining proximity measurements indicating respective intended inputs for corresponding original inputs, the method comprising: receiving Pinyin inputs; converting the Pinyin inputs to corresponding candidates, each of the corresponding candidates comprising one or more Hanzi characters; receiving rates of user selections for each of the corresponding candidates, the rates indicating how often users select each of the corresponding candidates; identifying, from the received rates, Pinyin inputs converted to candidates having low rates of user selection as non-selected Pinyin inputs; identifying, from the received rates, Pinyin inputs converted to candidates having higher rates of user selection than the non-selected Pinyin inputs, as intended Pinyin inputs; comparing the intended Pinyin inputs to the non-selected Pinyin inputs to identify one or more-non-selected Pinyin input and intended Pinyin input pairs; for each non-selected Pinyin input, determining a number of times that users did not select from the corresponding candidates and a number of times the non-selected Pinyin input was entered as input by users; and generating a proximity measurement for each-non-selected Pinyin input and intended Pinyin input pair based on a ratio of the number of times the corresponding candidates were not selected by users to the number of times the non-selected Pinyin input was entered as input by users. 4. The method of claim 1 , wherein the Pinyin inputs are inputs for search queries.