Abstract: The present disclosure provides a method and system for issuing media information, including: obtaining a listing of changed media information that is in an unprocessed state, including identification information of a target changed field for pre-configured target media information, and original field content information and new field content information of the target changed field for the pre-configured target media information; updating the pre-configured target media information based on the new field content information of the target changed field; receiving a request for the pre-configured target media information from a media subscription client; and in response to receiving the request for the pre-configured target media, issuing the updated pre-configured target media information to a media subscription client, wherein the media subscription client displays the updated pre-configured target media information in lieu of the pre-configured target media information.

Abstract: The present disclosure provides a method and system for issuing media information, including: obtaining a listing of changed media information that is in an unprocessed state, including identification information of a target changed field for pre-configured target media information, and original field content information and new field content information of the target changed field for the pre-configured target media information; updating the pre-configured target media information based on the new field content information of the target changed field; receiving a request for the pre-configured target media information from a media subscription client; and in response to receiving the request for the pre-configured target media, issuing the updated pre-configured target media information to a media subscription client, wherein the media subscription client displays the updated pre-configured target media information in lieu of the pre-configured target media information.

Abstract: Methods, systems, and apparatus, including computer program products, in which an input method editor receives Roman character inputs, identifies keywords for candidate sets of a non-Roman character, and identifies an associated resource location. Upon identifying an associated resource location, associating the resource location with the candidate set of non-Roman characters.

Abstract: Systems, methods, and apparatuses including computer program products for generating a custom language model. In one implementation, a method is provided. The method includes receiving a collection of documents; clustering the documents into one or more clusters; generating a cluster vector for each cluster of the one or more clusters; generating a target vector associated with a target profile; comparing the target vector with each of the cluster vectors; selecting one or more of the one or more clusters based on the comparison; and generating a language model using documents from the one or more selected clusters.

Abstract: Methods, systems, and apparatus, including computer program products, in which an input method editor receives Roman character inputs, identifies keywords for candidate sets of a non-Roman character, and identifies an associated resource location. Upon identifying an associated resource location, associating the resource location with the candidate set of non-Roman characters.

Abstract: A word corpus is identified and a word probability value is associated with each word in the word corpus. A sentence is identified, candidate segmentations of the sentence are determined based on the word corpus, and the associated probability value for each word in the word corpus is iteratively adjusted based on the probability values associated with the words and the candidate segmentations.

Abstract: Systems, methods, and apparatuses including computer program products for generating a custom language model. In one implementation, a method is provided. The method includes receiving a collection of documents; clustering the documents into one or more clusters; generating a cluster vector for each cluster of the one or more clusters; generating a target vector associcated with a target profile; comparing the target vector with each of the cluster vectors; selecting one or more of the one or more clusters based on the comparison; and generating a language model using documents from the one or more selected clusters.

Abstract: Methods, systems, and apparatus, including computer program products, in which an input method editor receives Roman character inputs, identifies keywords for candidate sets of a non-Roman character, and identifies an associated resource location. Upon identifying an associated resource location, associating the resource location with the candidate set of non-Roman characters.