Post by account_disabled on Dec 7, 2023 7:49:05 GMT
Ontology in computer science is a formal specification of the meanings of words and phrases appearing in texts and the relationships between these words or phrases. For humans understanding text regardless of word order is natural we need to equip artificial intelligence with this skill. Only then will the program be able to understand that both the sentences The user wrote the text and The text was written by the user one in the active voice the other in the passive voice mean the same thing.
Natural language as an API technological challenges API i.e. Application Programming Interface is a specific set of rules defining how machines communicate with each other. API makes a specific application able to communicate with the system and its functionality can be used Email Marketing List by another application. How can this definition apply to natural language and what are the main challenges facing technology in the context of communication and speech recognition? Let's try to look at the language as a programming interface examining the similarities and differences of both interfaces. A child as young as two years old can say sentences girls even earlier.
However it is not the earliest interface because it requires learning none of us knows the language at birth and does not use it from the very beginning. However language is an API with a very broad scope of communication because not only words but also the way they are said carry information. We also acquire knowledge about programming languages. Natural language has the advantage that the method of transmission tone of voice accompanying gestures and facial expressions are also important. This is a significant challenge facing technology. How to transmit emotions gestures and facial expressions using media sources? Another important issue is the issue of communication noise i.e. everything that prevents us from communicating effectively sounds interference etc.
Natural language as an API technological challenges API i.e. Application Programming Interface is a specific set of rules defining how machines communicate with each other. API makes a specific application able to communicate with the system and its functionality can be used Email Marketing List by another application. How can this definition apply to natural language and what are the main challenges facing technology in the context of communication and speech recognition? Let's try to look at the language as a programming interface examining the similarities and differences of both interfaces. A child as young as two years old can say sentences girls even earlier.
However it is not the earliest interface because it requires learning none of us knows the language at birth and does not use it from the very beginning. However language is an API with a very broad scope of communication because not only words but also the way they are said carry information. We also acquire knowledge about programming languages. Natural language has the advantage that the method of transmission tone of voice accompanying gestures and facial expressions are also important. This is a significant challenge facing technology. How to transmit emotions gestures and facial expressions using media sources? Another important issue is the issue of communication noise i.e. everything that prevents us from communicating effectively sounds interference etc.