Language Decoder converts sentences into verb-related functions. These functions contain all the syntactic and semantic information which could be used as additional input into any machine-learing algorithm. This approach makes the whole system work better with higher accuracy and additional functionalities.
After using Language Decoder you do not need an old n-gram algorithm. This is because you get the exact information about the relations that exists between words. The distance between words is not necessarily in a direct relationship with the word connections. The theory, "The closer the words the stronger they are connected" is only partially true. Language Decoder gives you the true relationships between words - not based on their position in a sentence but rather based on the grammar of a sentence. Similarly, The Part-of-Speech tagger (POS), Name Entity Recognizer (NER), chunk parsing, and other NLP modules cover only some areas of information decoding of the text. The Language Decoder covers all of the mentioned functionalities and gives you more information about the analyzed text at very high accuracy (proven to be over 90%).
If you would like to learn more about how Language Decoder can help you with AI please contact us and we will be happy to provide detailed information and access Webinar.