| Technology |
|
Cross-lingual Functionality | | | Language Independence | | | Learning Ability |
|
Language Independence
Autonomy's technology uses probabilistic modeling to extract meaning from digital content, and forgoes language-dependent parsing or dictionaries to form ideas. Because Autonomy treats words merely as abstract symbols of meaning, it is completely language independent. It does not rely on an intimate knowledge of a language's grammatical structure, but rather derives its understanding through the context of the words' occurrence rather than through rigid definition of grammar. This highly mathematical logic yields high accuracy, and performance is further optimized through proprietary stemming algorithms, "sentence breaking" libraries, stoplists and n-grams.
Although Autonomy's fundamentals are predicated on a language independent model, it is still capable of using linguistic analysis to parse semantics to an intra-document level. For instance, the Sentiment Analysis functionality can determine the degree to which a sentiment is positive, negative or neutral for the entire content or a segment of the content. A blogger may have a positive opinion on the iPod, but a negative one on the iPhone, all within the same entry. By extracting information from every file processed, IDOL continually learns positive and negative language structures and concepts.
Autonomy's software analyzes units of word and not characters, so it also works well with double byte languages. It supports over 100 languages, including English, German, French, Italian, Chinese and Japanese, and can even be easily configured to auto-detect the language of incoming documents.
Autonomy's Unique Combination of Technologies| Technology |
|
Cross-lingual Functionality | | | Language Independence | | | Learning Ability |
|
