Abstract: Classification of sequences, such as the translation of natural language sentences, is carried out using an independence assumption. The independence assumption is an assumption that the probability of a correct translation of a source sentence word into a particular target sentence word is independent of the translation of other words in the sentence. Although this assumption is not a correct one, a high level of word translation accuracy is nonetheless achieved. In particular, discriminative training is used to develop models for each target vocabulary word based on a set of features of the corresponding source word in training sentences, with at least one of those features relating to the context of the source word. Each model comprises a weight vector for the corresponding target vocabulary word.

Abstract: In an embodiment, a method is provided for creating a personal animated entity for delivering a multi-media message from a sender to a recipient. An image file from the sender may be received by a server. The image file may include an image of an entity. The sender may be requested to provide input with respect to facial features of the image of the entity in preparation for animating the image of the entity. After the sender provides the input with respect to the facial features of the image of the entity, the image of the entity may be presented as a personal animated entity to the sender to preview. Upon approval of the preview from the sender, the image of the entity may be presented as a sender-selectable personal animated entity for delivering the multi-media message to the recipient.

Abstract: A method, a system and a machine-readable medium are provided for an on demand translation service. A translation module including at least one language pair module for translating a source language to a target language may be made available for use by a subscriber. The subscriber may be charged a fee for use of the requested on demand translation service or may be provided use of the on demand translation service for free in exchange for displaying commercial messages to the subscriber. A video signal may be received including information in the source language, which may be obtained as text from the video signal and may be translated from the source language to the target language by use of the translation module. Translated information, based on the translated text, may be added into the received video signal. The video signal including the translated information in the target language may be sent to a display device.

Abstract: A method for identifying traffic to an application including the steps of monitoring communication traffic in a network, identifying data from communication traffic content, and constructing a model for mapping the communication traffic for an application derived from data identified from the communication traffic content is described. A related system and computer readable medium for performing the method is also described. The described method and system has utility in a wide array of networks including IP networks.

Abstract: A method of creating a personal animated entity for delivering a multi-media message from a sender to a recipient is disclosed. The method comprises receiving from the sender an image file at a server, the image file having an entity and a background image. The server presents to the sender the image file and requests the sender to mark features on the image file. After the sender marks the image file, the server presents to the sender the image file as an optional animated entity when the sender chooses an animated entity to deliver a multi-media message. If the sender selects the image file for delivering the multi-media message, the server delivers the multi-media message using the personal animated entity in the context of the background image of the image file. Extrapolation is used to fill in background voids created by the movement of the personal animated entity in the context of the background image.

Abstract: A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers.