Abstract: Described systems and methods allow a computer system to employ a lexicon network for word sense disambiguation (WSD). In an exemplary embodiment, each node of the lexicon network represents a gloss of a lexicon entry, while an edge represents a lexical definition relationship between two glosses. The lexicon network is ordered prior to WSD, wherein ordering the lexicon network comprises arranging the nodes of the lexicon network in an ordered sequence, and removing a set of edges to eliminate loops. In some embodiments, the position of each node within the ordered sequence is determined according to a direction and a weight of an edge connected to the respective node. The weight may represent a semantic importance of the respective edge relative to other edges of the network.

Abstract: Described systems and methods allow a biometric authentication system to process authentication requests, such as requests to authenticate handwritten signatures, received from a plurality of client systems, each covered by a service level agreement (SLA). The biometric authentication system includes a load balancer configured to distribute authentication tasks to a plurality of worker machines. In some embodiments, task distribution is performed according to an ability of each worker to process urgent tasks, to an ability of each worker to process non-urgent tasks, and further according to a relationship between a count of urgent requests and a count of non-urgent requests received by the biometric authentication system.

Abstract: Described systems and methods allow a computer system to employ a lexicon network for word sense disambiguation (WSD). In an exemplary embodiment, each node of the lexicon network represents a gloss of a lexicon entry, while an edge represents a lexical definition relationship between two glosses. The lexicon network is ordered prior to WSD, wherein ordering the lexicon network comprises arranging the nodes of the lexicon network in an ordered sequence, and removing a set of edges to eliminate loops. In some embodiments, the position of each node within the ordered sequence is determined according to a direction and a weight of an edge connected to the respective node. The weight may represent a semantic importance of the respective edge relative to other edges of the network.

Abstract: In some embodiments, a linguistic application exploits a linguistic knowledgebase (LKB) including, among others, lexicon data, inflection form data, and syntax data for a natural language such as English or Romanian. The application employs a set modules including a word retriever, a form generator, and a syntax checker, which are interconnected to perform a number of higher-level text-processing operations such as synthetic and analytic annotation, lemmatizing, spell checking, and grammar checking.

Abstract: In some embodiments, linguistic knowledge bases including multiword lexicon entries belonging to various natural languages are generated and maintained. Multiword lexicon entries include representations of multiword expressions (e.g. composite words such as “expectation value”, verbal phrases such as “to stumble upon”, and idiomatic phrases such as “to hit the nail on the head”), and multiword inflection templates (e.g. “more adjective” as a symbolic representation for the comparative form of adjectives). A representation of a multiword lexicon entry, including a dependency tree and/or an attribute-value tree, is displayed within a graphical user interface, allowing a user to verify, update, and correct lexical data. Computer-readable encodings (e.g. XML) of dependency tree and/or attribute-value tree data are saved as part of each lexicon entry.

Abstract: In some embodiments, a linguistic knowledge base containing correspondences between pairs of words or multi-word expressions belonging to different natural languages is generated and maintained using a graphical user interface. A linguistic model generates dependency tree representations of each multi-word expression. The dependency trees are simultaneously displayed within a graphical user interface, allowing a user to indicate lexical correspondences between pairs of nodes. Computer-readable (e.g. XML) encodings of the lexical correspondences are generated and stored in the linguistic knowledge base. At least some of the nodes are procedural nodes representing procedures which turn numerals into numeric values or manipulate pictures or sounds embedded in text associated with the node.

Abstract: Described systems and methods allow a biometric authentication system to process authentication requests, such as requests to authenticate handwritten signatures, received from a plurality of client systems, each covered by a service level agreement (SLA). The biometric authentication system includes a load balancer configured to distribute authentication tasks to a plurality of worker machines. In some embodiments, task distribution is performed according to an ability of each worker to process urgent tasks, to an ability of each worker to process non-urgent tasks, and further according to a relationship between a count of urgent requests and a count of non-urgent requests received by the biometric authentication system.