Abstract: System and methods allowing for effective and reliable reading predictions for Japanese ideographs are provided. In an illustrative implementation, a reading predictions system operating in “learning” and “execution/run-time” modes is provided. In the “learning” mode the reading predictions system operates on a number of input sources to produce a decision tree that is used in the “execution/run-time” mode to return reading predictions for inputted Japanese sentences containing Japanese ideographs. Among the inputs utilized in the “learning” mode are base Japanese script readings, a training corpus, and quasi-phonological rules. From these inputs underlying readings and a decision tree are created. When operating in the “execution/run-time” mode, the reading predictions system employs a morphological analyzer to perform a morphology analysis on inputted sentences. Using the morphological analysis, the quasi-phonological rules, the underlying readings, and the decision tree reading predictions are provided.

Abstract: System and methods allowing for effective and reliable reading predictions for Japanese ideographs are provided. In an illustrative implementation, a reading predictions system operating in “learning” and “execution/run-time” modes is provided. In the “learning” mode the reading predictions system operates on a number of input sources to produce a decision tree that is used in the “execution/run-time” mode to return reading predictions for inputted Japanese sentences containing Japanese ideographs. Among the inputs utilized in the “learning” mode are base Japanese script readings, a training corpus, and quasi-phonological rules. From these inputs underlying readings and a decision tree are created. When operating in the “execution/run-time” mode, the reading predictions system employs a morphological analyzer to perform a morphology analysis on inputted sentences.

Abstract: Detecting typographical errors in a Japanese sentence by using a bottom-up approach analysis. The bottom-up analysis employs probabilities, dictionaries and heuristics to words that are found in morpho-lexical information derived from the Japanese sentence. This bottom-up approach combines valid phrases analyses into well-formed combined phrases, i.e., phrase lists, to determine the existence of “holes”. Holes are characters contained in the input sentence but not in the well-formed phrase lists. Probabilities are used to determine which phrase list is most representative of the input sentence. The hole contained in the phrase list having the lowest cost (highest probability) is analyzed to determine if it is a typographical error. This analysis includes checking the hole to determine if it is an extended dictionary and whether it is a proper noun.