Abstract: The application is directed to methods and devices for estimating corrosion of a material. One of the methods includes obtaining data regarding corrosion. The data is obtained from various sources, such as but not limited to sensors and observational data. The data is then trained to provide for a more complete data set. The trained data is then used to estimate the expected amount of corrosion for a given situation.

Abstract: Systems and methods for automatically extracting parallel word sequences from comparable corpora are described. Electronic documents, such as web pages belonging to a collaborative online encyclopedia, are analyzed to locate parallel word sequences between electronic documents written in different languages. These parallel word sequences are then used to train a machine translation system that can translate text from one language to another.

Abstract: The system and method of present invention provides a user with a single account that separately tracks prepaid and/or reward balances from multiple merchants. Multiple merchant purses are associated with the user's account. Each purse corresponds to one merchant, and represents the user's credit balance with the merchant (e.g., prepaid deposits plus reward). The balance associated with each merchant purse is separately tracked. In one embodiment, each merchant purse is associated with its own set of rules for calculating a reward or otherwise managing the purse. When a user deposits prepaid money into a merchant purse, the system that manages the user's account executes any rules associated with the purse related to a deposit. If there is a rule associated with a rewards calculation, a reward amount is calculated in accordance with the rule and, if the reward is greater than zero, the merchant purse is credited with the reward.

Abstract: Systems and methods for automatically extracting parallel word sequences from comparable corpora are described. Electronic documents, such as web pages belonging to a collaborative online encyclopedia, are analyzed to locate parallel word sequences between electronic documents written in different languages. These parallel word sequences are then used to train a machine translation system that can translate text from one language to another.