Abstract: A network of purpose-specialized servers, databases, high-speed media delivery clusters and client systems making up a language learning system uses software-ordered methods to teach foreign language, allowing for a novel method of in-line advertising to support unpaid access by students. Reinforcements present practice problems for typed translation, multiple choice or spoken response. Advertisers can sponsor a practice problem by replacing a word in a practice problem with the advertiser's brand, product term, audio message, image or video. The advertiser's branding is seen, heard, typed and spoken by the student in appropriate language contexts and without distracting from language learning.

Abstract: A computer-based language learning system uses targeted repetition to familiarize a student with words and language governing rules. Targeted repetition presents practice-sentences made up of specific words and rules the language learning system has targeted for practice, with the intervals between encounters of targeted words and rules varying based on prior incorrect, correct and partially correct responses to the rule-items. Targeted reinforcement determines manner of response to practice-sentences. Learning records for each word and rule track information used in calculating an up-to-the-moment ‘need to practice’ rating for the rule-item. Learning records also track each prior response to the item, allowing the language learning system to determine the aspects of the word or rule-item of which a student lacks mastery. The language learning system provides targeted reinforcement by drilling the student on the particular aspect of the rule needing practice, along with the practice-sentence incorporating it.