1. A method for identifying content corresponding to a language, the method comprising: storing a first association between a first phoneme sequence and a first language and a second association between a second phoneme sequence and a second language; generating a phoneme sequence based on first verbal input received from a first user; determining which one of the first and second phoneme sequences, associated respectively with the first and second languages, corresponds to the generated phoneme sequence; automatically determining, with voice recognition circuitry, that a language spoken by the first user corresponds to the first language based on determining that the first phoneme sequence corresponds to the generated phoneme sequence; measuring a first duration of the received first verbal input representing how often the first language is spoken in the household; storing the first duration in a database that associates the first duration with the first language; measuring a second duration of second verbal input received subsequent to the first verbal input representing how often the second language is spoken in the household, wherein the second verbal input corresponds to the second language; storing a second duration in the database that associates the second duration with the second language; comparing the first duration to the second duration; in response to determining that the first duration is greater than the second duration, determining that the first language is spoken more often than the second language in the household; searching a database of content sources to identify a content source associated with a language field value that corresponds to the first language based on determining that the first language is spoken more often than the second language in the household, wherein the language field in the database identifies the language that the associated content source transmits content to a plurality of users; and generating for display a representation of the identified content source to the first user.
1. A method for identifying content corresponding to a language, the method comprising: storing a first association between a first phoneme sequence and a first language and a second association between a second phoneme sequence and a second language; generating a phoneme sequence based on first verbal input received from a first user; determining which one of the first and second phoneme sequences, associated respectively with the first and second languages, corresponds to the generated phoneme sequence; automatically determining, with voice recognition circuitry, that a language spoken by the first user corresponds to the first language based on determining that the first phoneme sequence corresponds to the generated phoneme sequence; measuring a first duration of the received first verbal input representing how often the first language is spoken in the household; storing the first duration in a database that associates the first duration with the first language; measuring a second duration of second verbal input received subsequent to the first verbal input representing how often the second language is spoken in the household, wherein the second verbal input corresponds to the second language; storing a second duration in the database that associates the second duration with the second language; comparing the first duration to the second duration; in response to determining that the first duration is greater than the second duration, determining that the first language is spoken more often than the second language in the household; searching a database of content sources to identify a content source associated with a language field value that corresponds to the first language based on determining that the first language is spoken more often than the second language in the household, wherein the language field in the database identifies the language that the associated content source transmits content to a plurality of users; and generating for display a representation of the identified content source to the first user. 9. The method of claim 1 further comprising: cross-referencing the database of content sources to identify a plurality of content sources associated with a respective language field value that corresponds to the determined language spoken by the first user; identifying, for each of the plurality of content sources, a popularity value associated with each of the plurality of content source; and generating for display representations of the identified content sources based on the identified popularity values.