Abstract: A method involves receiving a perceptual representation including a plurality of feature vectors, and initializing a plurality of slot vectors represented by a neural network memory unit. Each respective slot vector is configured to represent a corresponding entity in the perceptual representation. The method also involves determining an attention matrix based on a product of the plurality of feature vectors transformed by a key function and the plurality of slot vectors transformed by a query function. Each respective value of a plurality of values along each respective dimension of the attention matrix is normalized with respect to the plurality of values. The method additionally involves determining an update matrix based on the plurality of feature vectors transformed by a value function and the attention matrix, and updating the plurality of slot vectors based on the update matrix by way of the neural network memory unit.

Abstract: A technique includes determining whether a first webpage includes content in a first language, where the first webpage is a landing page associated with an advertising campaign of a content sponsor, determining whether a second webpage includes the content in a different second language where the second webpage is not a landing page in the advertising campaign, evaluating one or more criteria in order to make a recommendation for expanding the advertising campaign to include the second webpage, identifying a recommendation for expanding the advertising campaign to include the second webpage based at least in part on the evaluating.

Abstract: A technique includes providing a collection of documents in multiple languages, identifying, from the collection of documents, a group of candidate documents, where each candidate document in the group shares multiple corresponding rare features, evaluating pairs of candidate documents in the group using multiple common features present in the collection of documents, and determining, based on evaluating the pairs of candidate documents, whether each pair of candidate documents corresponds to a translated pair of documents.

Abstract: Methods, systems, and apparatus, including computer program products, for language translation are disclosed. In one implementation, a method is provided. The method includes determining, for a plurality of feature functions in a translation lattice, a corresponding plurality of error surfaces for each of one or more candidate translations represented in the translation lattice; adjusting weights for the feature functions by traversing a combination of the plurality of error surfaces for phrases in a training set; selecting weighting values that minimize error counts for the traversed combination; and applying the selected weighting values to convert a sample of text from a first language to a second language.