Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Methods and apparatus related to determining coreference resolution using distributed word representations. Distributed word representations, indicative of syntactic and semantic features, may be identified for one or more noun phrases. For each of the one or more noun phrases, a referring feature representation and an antecedent feature representation may be determined, where the referring feature representation includes the distributed word representation, and the antecedent feature representation includes the distributed word representation augmented by one or more antecedent features. In some implementations the referring feature representation may be augmented by one or more referring features. Coreference embeddings of the referring and antecedent feature representations of the one or more noun phrases may be learned. Distance measures between two noun phrases may be determined based on the coreference embeddings.

Abstract: Disclosed is a method and device for finding documents, such as Web pages, for presentation to a user, automatically or in response to a user expression of interest, which documents are part of a Web site being accessed by the user, and which documents relate to a document, such as a Web page, being accessed in the Web site. The method takes advantage of information retrieval techniques. The method generates the search query to use to find documents by reference to the text of the document in the Web site being accessed by the user. The method further uses a weighting function to weigh the terms used in the search query.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Disclosed is a method and device for finding documents, such as Web pages, for presentation to a user, automatically or in response to a user expression of interest, which documents are part of a Web site being accessed by the user, and which documents relate to a document, such as a Web page, being accessed in the Web site. The method takes advantage of information retrieval techniques. The method generates the search query to use to find documents by reference to the text of the document in the Web site being accessed by the user. The method further uses a weighting function to weigh the terms used in the search query.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: A semantic locator determines whether input sequences form semantically meaningful units. The semantic locator includes a coherence component that calculates a coherence of the terms in the sequence and a variation component that calculates the variation in terms that surround the sequence. A heuristics component may additionally refine results of the coherence component and the variation component. A decision component may make the determination of whether the sequence is a semantic unit based on the results of the coherence component, variation component, and heuristics component.

Abstract: A semantic locator determines whether input sequences form semantically meaningful units. The semantic locator includes a coherence component that calculates a coherence of the terms in the sequence and a variation component that calculates the variation in terms that surround the sequence. A heuristics component may additionally refine results of the coherence component and the variation component. A decision component may make the determination of whether the sequence is a semantic unit based on the results of the coherence component, variation component, and heuristics component.

Abstract: Disclosed is a system for performing online data queries. The system for performing online data queries is a distributed computer system with a plurality of server nodes each fully redundant and capable of processing a user query request. Each server node includes a data query cache and other caches that may be used in performing data queries. The data query, as well as request allocation, is performed in accordance with an adaptive partitioning technique with a bias towards an initial partitioning scheme. Generic objects are created and used to represent business listings upon which the user may perform queries. Various data processing and integration techniques are included which enhance data queries. An update technique is used for synchronizing data updates as needed in updating the plurality of server nodes. A multi-media data transfer technique is used to transfer non-text or multi-media data between various components of the online query tool.

Abstract: A semantic locator determines whether input sequences form semantically meaningful units. The semantic locator includes a coherence component that calculates a coherence of the terms in the sequence and a variation component that calculates the variation in terms that surround the sequence. A heuristics component may additionally refine results of the coherence component and the variation component. A decision component may make the determination of whether the sequence is a semantic unit based on the results of the coherence component, variation component, and heuristics component.

Abstract: Disclosed is a method and device for finding documents, such as Web pages, for presentation to a user, automatically or in response to a user expression of interest, which documents are part of a Web site being accessed by the user, and which documents relate to a document, such as a Web page, being accessed in the Web site. The method takes advantage of information retrieval techniques. The method generates the search query to use to find documents by reference to the text of the document in the Web site being accessed by the user. The method further uses a weighting function to weigh the terms used in the search query.

Abstract: Disclosed is a method and device for finding documents, such as Web pages, for presentation to a user, automatically or in response to a user expression of interest, which documents are part of a Web site being accessed by the user, and which documents relate to a document, such as a Web page, being accessed in the Web site. The method takes advantage of information retrieval techniques. The method generates the search query to use to find documents by reference to the text of the document in the Web site being accessed by the user. The method further uses a weighting function to weigh the terms used in the search query.

Abstract: A semantic locator determines whether input sequences form semantically meaningful units. The semantic locator includes a coherence component that calculates a coherence of the terms in the sequence and a variation component that calculates the variation in terms that surround the sequence. A heuristics component may additionally refine results of the coherence component and the variation component. A decision component may make the determination of whether the sequence is a semantic unit based on the results of the coherence component, variation component, and heuristics component.

Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Abstract: Disclosed are methods and systems for indexing or retrieving materials accessible through computer networks.

Abstract: Disclosed is a method and device for storing information about Web documents such as pages or sites in a manner which may be used in conjunction with inverted term lists to facilitate the retrieval of documents of interest from the Web. The method involves constructing compressed surrogates for documents, such that various operations may be performed without the need to retrieve a copy of the document from the Web. The method permits the efficient updating of inverted term lists when documents on the Web have been modified or deleted, and also permits the efficient processing of search queries in a variety of circumstances.