Changes

       <tr>

       <tr>

         <th>Latest version</th>

         <th>Latest version</th>

         <td>September 25, 2019</td>

         <td>February 14, 2020</td>

       </tr>

       </tr>

       <tr>

       <tr>

   <p>Generally, voice activated digital assistants are constantly operating at a low processing rate until a key word is heard to notify the DA that a request is about to be made. For example, Google Home listens to its surroundings until the words “Ok Google” are said aloud. Digital assistants then translate a user’s proceeding commands into text that is analyzed by multiple algorithms to execute a task. These algorithms break up the requests into key parts, which make it easy to send emails, messages, or store records.</p>

   <p>Generally, voice activated digital assistants are constantly operating at a low processing rate until a key word is heard to notify the DA that a request is about to be made. For example, Google Home listens to its surroundings until the words “Ok Google” are said aloud. Digital assistants then translate a user’s proceeding commands into text that is analyzed by multiple algorithms to execute a task. These algorithms break up the requests into key parts, which make it easy to send emails, messages, or store records.</p>

    

    

   <p class="expand mw-collapsible-content"></p>There are three main types of algorithms that are used to analyze your request: Natural Language Processing (NLP)<ref>Wikipedia. (2019, September 15). Natural language processing. Retrieved from en.wikipedia.org: https://en.wikipedia.org/wiki/Natural_language_processing</ref>, Natural Language Understanding<ref>Wikipedia. (2019, August 24). Natural-language understanding. Retrieved from en.wikipedia.org: https://en.wikipedia.org/wiki/Natural-language_understanding</ref>, and Natural Language Generation (NLG)<ref>Wikipedia. (2019, September 6). Natural-language generation. Retrieved from en.wikipedia.org: https://en.wikipedia.org/wiki/Natural-language_generation</ref>. NLP deals with how to write computer programs to collect and process large amounts of natural language data. This can be a difficult task when some languages like Japanese and Chinese use characters that represent words and letters with no spaces between which makes it harder for the computer to understand what’s being said. It is easier in languages like English to identify words since they are almost always separated by a space. Another challenge is when the same word can be used as a different part of the sentence (noun, verb, etc). For example, you can turn on a light (noun), something can be light (adjective) (not heavy), you can light a candle (verb).</p>

   <p class="expand mw-collapsible-content"></p>There are three main types of algorithms that are used to analyze your request: Natural Language Processing (NLP)<ref>Wikipedia. (2019, September 15). Natural language processing. Retrieved from en.wikipedia.org: https://en.wikipedia.org/wiki/Natural_language_processing</ref>, Natural Language Understanding<ref>Wikipedia. (2019, August 24). Natural-language understanding. Retrieved from en.wikipedia.org: https://en.wikipedia.org/wiki/Natural-language_understanding</ref>, and Natural Language Generation (NLG).<ref>Wikipedia. (2019, September 6). Natural-language generation. Retrieved from en.wikipedia.org: https://en.wikipedia.org/wiki/Natural-language_generation</ref> NLP deals with how to write computer programs to collect and process large amounts of natural language data. This can be a difficult task when some languages like Japanese and Chinese use characters that represent words and letters with no spaces between which makes it harder for the computer to understand what’s being said. It is easier in languages like English to identify words since they are almost always separated by a space. Another challenge is when the same word can be used as a different part of the sentence (noun, verb, etc). For example, you can turn on a light (noun), something can be light (adjective) (not heavy), you can light a candle (verb).</p>

    

    

   <p class="expand mw-collapsible-content">Natural Language Understanding (NLU)<ref>Rouse, M. (2019, September 20). natural language understanding (NLU). Retrieved from searchenterpriseai.techtarget.com: https://searchenterpriseai.techtarget.com/definition/natural-language-understanding-NLU</ref> refers to understanding input to a computer in the form of spoken words or text. It enables computers to understand human speech without using a pre-programmed syntax and allows computers to respond to the commands or questions in an intelligent and coherent manner. NLU is what’s behind chat bots that interact with humans without intervention.</p>

   <p class="expand mw-collapsible-content">Natural Language Understanding (NLU)<ref>Rouse, M. (2019, September 20). natural language understanding (NLU). Retrieved from searchenterpriseai.techtarget.com: https://searchenterpriseai.techtarget.com/definition/natural-language-understanding-NLU</ref> refers to understanding input to a computer in the form of spoken words or text. It enables computers to understand human speech without using a pre-programmed syntax and allows computers to respond to the commands or questions in an intelligent and coherent manner. NLU is what’s behind chat bots that interact with humans without intervention.</p>