Abstract: A multi-lingual indexing and search system is presented that performs tokenization and stemming in a manner which is independent of whether index entries and search terms appear as words in a dictionary. The system includes a tokenizer that separates a string of text into individual word tokens, and eliminates predetermined types of tokens from further processing. The system also includes a stemmer that reduces words to grammatical stems by removing known word-endings associated with the various languages to be supported. The stemmer removes known word endings from the word tokens without any effort to guarantee that the remaining stem is contained in a dictionary. In an embodiment, the stemmer only removes those word endings which are associated with nouns. The system further includes an indexer that stores the stems in an index.

Abstract: A multi-lingual indexing and search system performs tokenization and stemming in a manner which is independent of whether index entries and search terms appear as words in a dictionary. During the tokenization phase of the process, a string of text is separated into individual word tokens, and predetermined types of tokens are eliminated from further processing. The stemming phase of the process reduces words to grammatical stems by removing known word-endings associated with the various languages to be supported. Known word endings are removed from the word tokens without any effort to guarantee that the remaining stem is contained in a dictionary. In a preferred implementation, the stemming process is only applied to nouns.

Abstract: A multi-lingual indexing and search system performs tokenization and stemming in a manner which is independent of whether index entries and search terms appear as words in a dictionary. During the tokenization phase of the process, a string of text is separated into individual word tokens, and predetermined types of tokens are eliminated from further processing. The stemming phase of the process reduces words to grammatical stems by removing known word-endings associated with the various languages to be supported. Known word endings are removed from the word tokens without any effort to guarantee that the remaining stem is contained in a dictionary. In a preferred implementation, the stemming process is only applied to nouns.

Abstract: A multi-lingual indexing and search system performs tokenization and stemming in a manner which is independent of whether index entries and search terms appear as words in a dictionary. During the tokenization phase of the process, a string of text is separated into individual word tokens, and predetermined types of tokens are eliminated from further processing. The stemming phase of the process reduces words to grammatical stems by removing known word-endings associated with the various languages to be supported. Known word endings are removed from the word tokens without any effort to guarantee that the remaining stem is contained in a dictionary. In a preferred implementation, the stemming process is only applied to nouns.