Abstract: Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.

Abstract: A technique for providing grammatical and semantic sense of statistical machine translation systems to assisting in reviewing tasks, provides for the construction of hypothesis generators and evaluators using sparse data, with the use of an edit distance metric for generating alignments of the sparse data.

Abstract: Methods are disclosed for preparing lignin from lignocellulosic biomass using rapid full or partial pressure reduction to separate and pulverize the lignin without fouling the equipment and with improved energy recovery.

Abstract: Methods are disclosed for preparing lignin from lignocellulosic biomass using rapid full or partial pressure reduction to separate and pulverize the lignin without fouling the equipment and with improved energy recovery.

Abstract: This application is related to a means and a method for facilitating the use of translation memories by aligning words of an input source language sentence with the correspondent translated words in target language sentence. More specifically, this invention relates to such a means and method where there is an enhanced translation memory comprising an alignment function.

Abstract: Methods are disclosed for providing lignin product of a small particle size for improving burning efficiency and for avoiding typical equipment fouling problems while maximizing energy recovery.

Abstract: Methods are disclosed for providing lignin product of a small particle size for improving burning efficiency and for avoiding typical equipment fouling problems while maximizing energy recovery.

Abstract: Methods are disclosed for providing lignin product of a small particle size for improving burning efficiency and for avoiding typical equipment fouling problems while maximizing energy recovery.

Abstract: Methods are disclosed for preparing lignin from lignocellulosic biomass using rapid full or partial pressure reduction to separate and pulverize the lignin without fouling the equipment and with improved energy recovery.

Abstract: Methods are disclosed for providing lignin product of a small particle size for improving burning efficiency and for avoiding typical equipment fouling problems while maximizing energy recovery.

Abstract: This application is related to a means and a method for facilitating the use of translation memories by aligning words of an input source language sentence with the correspondent translated words in target language sentence. More specifically, this invention relates to such a means and method where there is an enhanced translation memory comprising an alignment function.

Abstract: In a translation apparatus, a translation memory (32) stores (i) source language target language translation unit pairs and (ii) structural information for at least some source language translation units indicating a structural position within a document from which the source language translation unit was derived. A comparator (30) compares a new source language translation unit with source language translation units stored in the translation memory. Each comparison includes (i) a textual comparison and (ii) a structural comparison between an identified structural position within a source language document (10) from which the new source language translation unit was derived and the structural information for the source language translation unit stored in the translation memory.

Abstract: Methods are disclosed for performing proper word alignment that satisfy constraints of coverage and transitive closure. Initially, a translation matrix which defines word association measures between source and target words of a corpus of bilingual translations of source and target sentences is computed. Subsequently, in a first method, the association measures in the translation matrix are factorized and orthogonalized to produce cepts for the source and target words, which resulting matrix factors may then be, optionally, multiplied to produce an alignment matrix. In a second method, the association measures in the translation matrix are thresholded, and then closed by transitivity, to produce an alignment matrix, which may then be, optionally, factorized to produce cepts. The resulting cepts or alignment matrices may then be used by any number of natural language applications for identifying words that are properly aligned.

Abstract: The invention relates to a method and a means for automatically post-editing a translated text. A source language text is translated into an initial target language text. This initial target language text is then post-edited by an automatic post-editor into an improved target language text. The automatic post-editor is trained on a sentence aligned parallel corpus created from sentence pairs T? and T, where T? is an initial training translation of a source training language text, and T is second, independently derived, training translation of a source training language text.

Abstract: A machine translation method for translating source text from a first language to target text in a second language includes receiving the source text in the first language and accessing a library of bi-fragments, each of the bi-fragments including a text fragment from the first language and a text fragment from the second language, at least some of the bi-fragments comprising non-contiguous bi-fragments in which at least one of the text fragment from the first language and the text fragment from the second language comprises a non-contiguous fragment.

Abstract: A machine translation method for translating source text from a first language to target text in a second language includes receiving the source text in the first language and accessing a library of bi-fragments, each of the bi-fragments including a text fragment from the first language and a text fragment from the second language, at least some of the bi-fragments comprising non-contiguous bi-fragments in which at least one of the text fragment from the first language and the text fragment from the second language comprises a non-contiguous fragment.

Abstract: Methods are disclosed for performing proper word alignment that satisfy constraints of coverage and transitive closure. Initially, a translation matrix which defines word association measures between source and target words of a corpus of bilingual translations of source and target sentences is computed. Subsequently, in a first method, the association measures in the translation matrix are factorized and orthogonalized to produce cepts for the source and target words, which resulting matrix factors may then be, optionally, multiplied to produce an alignment matrix. In a second method, the association measures in the translation matrix are thresholded, and then closed by transitivity, to produce an alignment matrix, which may then be, optionally, factorized to produce cepts. The resulting cepts or alignment matrices may then be used by any number of natural language applications for identifying words that are properly aligned.

Abstract: In a translation apparatus, a translation memory (32) stores (i) source language target language translation unit pairs and (ii) structural information for at least some source language translation units indicating a structural position within a document from which the source language translation unit was derived. A comparator (30) compares a new source language translation unit with source language translation units stored in the translation memory. Each comparison includes (i) a textual comparison and (ii) a structural comparison between an identified structural position within a source language document (10) from which the new source language translation unit was derived and the structural information for the source language translation unit stored in the translation memory.