Abstract: A computerized multilingual translation dictionary includes a set of word and phrases for each of the languages it contains, plus a mapping that indicates for each word or phrase in one language what the corresponding translations in the other languages are. The set of words and phrases for each language are divided up among corresponding concept groups based on an abstract pivot language. The words and phrases are encoded as token numbers assigned by a word-number mapper laid out in sequence that can be searched fairly rapidly with a simple linear scan. The complex associations of words and phrases to particular pivot language senses are represented by including a list of pivot-language sense numbers with each word or phrase. The preferred coding of these sense numbers is by means of a bit vector for each word, where each bit corresponds to a particular pivot element in the abstract language, and the bit is ON if the given word is a translation of that pivot element.

Abstract: A computerized multilingual translation dictionary includes a set of word and phrases for each of the languages it contains, plus a mapping that indicates for each word or phrase in one language what the corresponding translations in the other languages are. The set of words and phrases for each language are divided up among corresponding concept groups based on an abstract pivot language. The words and phrases are encoded as token numbers assigned by a word-number mapper laid out in sequence that can be searched fairly rapidly with a simple linear scan. The complex associations of words and phrases to particular pivot language senses are represented by including a list of pivot-language sense numbers with each word or phrase. The preferred coding of these sense numbers is by means of a bit vector for each word, where each bit corresponds to a particular pivot element in the abstract language, and the bit is ON if the given word is a translation of that pivot element.

Abstract: A data storage medium stores string data that can be used in character recognition and instructions for accessing the string data. The string data includes data units that can be accessed by a processor in executing the instructions. The processor can use character data indicating characters of a string to access a sequence of the data units that ends with an ending subsequence. The ending subsequence includes acceptance information indicating whether a string whose sequence of data units ends with the ending subsequence is an acceptable string. If so, the ending subsequence also includes category set information indicating a set of categories for strings whose sequences end with the ending subsequence. The categories can include words, numbers, compound words, and so forth. The acceptance information can include a bit in a character label data unit that includes information indicating the character type of an ending character.