Abstract: Methods, systems, and media are provided for identifying languages in multilingual text. A document is decoded into a universal representative coding for easier tag manipulation, then broken into plain-text content sections. The sections are identified and assigned a weight, wherein more informative sections are given a higher weight and less informative sections are given a lesser weight. A language likelihood score is determined for each word, phrase, or character n-gram in a section. The language likelihood scores within a section are combined for each language. The combined section scores are then summed together to obtain a total document score for each language. This results in a document score for each language, which can be ranked to determine the primary language for the document.

Abstract: Methods, systems, and media are provided for identifying languages in multilingual text. A document is decoded into a universal representative coding for easier tag manipulation, then broken into plain-text content sections. The sections are identified and assigned a weight, wherein more informative sections are given a higher weight and less informative sections are given a lesser weight. A language likelihood score is determined for each word, phrase, or character n-gram in a section. The language likelihood scores within a section are combined for each language. The combined section scores are then summed together to obtain a total document score for each language. This results in a document score for each language, which can be ranked to determine the primary language for the document.

Abstract: Source language text from an input interface is broken down into source language morphemes by a morphological analyzer. A syntactic analyzer converts the morphemes into source language signs labelled with identifiers and data identifying other signs which are grammatically related. A bilingual equivalence transformer transforms the source language signs to target language signs which are combined by a combiner to provide a first attempt at a target language structure. The structure is repeatedly evaluated by an evaluator and transformed by a transformer. The signs of well formed substructures identified by the evaluator are not dissociated from each other by the transformer. This process ends when either the whole target language structure is evaluated as being well formed or all transformations have been unsuccessfully evaluated.