15. A non-transitory computer-readable medium including instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: convert a portion of a multimedia stream to text; generate a search query from one or more particular terms in a text segment of the text, the one or more instructions to generate the search query including: one or more instructions to generate a weight for each group of terms of a plurality of groups of terms, each group of terms, of the plurality of groups of terms, including respective one or more terms in the text segment, the weight for a group of terms, of the plurality of groups of terms, being generated based on a frequency of each of the respective one or more terms in the text segment and a value that is based on a type of each of the respective one or more terms, the value being greater when the type is a noun than when the type is different than a noun, each of the respective one or more terms including a same stem, each group of terms, of the plurality of groups of terms, corresponding to a respective stem of a plurality of stems, and one or more instructions to select the one or more particular terms from one or more particular groups of terms of the plurality of groups of terms, the one or more weights generated for the one or more particular groups of terms being highest out of the weights generated for the plurality of groups of terms, each of the one or more particular terms corresponding a different stem of the plurality of stems; identify, based on the search query, documents relevant to the multimedia stream; calculate a score for a document, of the documents, based on a similarity between the text segment and the document; rank the document relative to the documents based the score; and provide, for presentation, information regarding the ranked document.
15. A non-transitory computer-readable medium including instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: convert a portion of a multimedia stream to text; generate a search query from one or more particular terms in a text segment of the text, the one or more instructions to generate the search query including: one or more instructions to generate a weight for each group of terms of a plurality of groups of terms, each group of terms, of the plurality of groups of terms, including respective one or more terms in the text segment, the weight for a group of terms, of the plurality of groups of terms, being generated based on a frequency of each of the respective one or more terms in the text segment and a value that is based on a type of each of the respective one or more terms, the value being greater when the type is a noun than when the type is different than a noun, each of the respective one or more terms including a same stem, each group of terms, of the plurality of groups of terms, corresponding to a respective stem of a plurality of stems, and one or more instructions to select the one or more particular terms from one or more particular groups of terms of the plurality of groups of terms, the one or more weights generated for the one or more particular groups of terms being highest out of the weights generated for the plurality of groups of terms, each of the one or more particular terms corresponding a different stem of the plurality of stems; identify, based on the search query, documents relevant to the multimedia stream; calculate a score for a document, of the documents, based on a similarity between the text segment and the document; rank the document relative to the documents based the score; and provide, for presentation, information regarding the ranked document. 20. The computer-readable medium of claim 15 , where the instructions further include: one or more instructions that cause the one or more processors to: calculate a second score for a second document of the documents based on a similarity between the text segment and the second document; and selectively filter the second document, based on the second score, to selectively remove the second document from the documents.