Natural – language processing makes more sense in a mobile environment than in a desktop environment because the users of mobile devices are on the go and want to use their hands as little as possible. NLP adds a user – friendly environment and enhances data entry and data input for mobile users. And the increased memory and speed of mobile devices (as well as the increased speed of mobile and wireless networks) make them good candidates for NLP. As a result, voice activated functions, speech – to text dictations and voice activated dialling are now available for most smartphones, and voice – driven apps are getting smarter. For example, instead of saying ‘Call 551 – 535 – 1922’ to dial a phone number, users can now say ‘Dial Dad’ or ‘Phone my farther’. Nuance’s Dragon Dictation, available as an iPhone app, allows users to dictate everything from memos and e – mails to Twitter updates; Dragon for E – mail offers similar capabilities for BlackBerry. Also, for the iPhone, Jibbigo phrases and simple sentences. Voice – driven apps such as Google Voice Search, Bing Voice Search and Microsoft Tellme are among the more popular smartphone applications. Vlingo, a multiplatform app, serves as ‘virtual assistant’ and is being used for such services as making restaurant reservations and booking movie tickets. Apple’s Siri, available on iPhone 4S and beyond and Google Assistant, available on Google’s Pixel and other Android phones are other entrants in the fast – growing voice – activated mobile – device market. One of the challenges with the voice activated mobile devices is to get the device to understand what you mean, not just what you say. Other challenges include the use of foreign names, accents and maintaining accuracy in noisy environments. 1. Can NLP make smartphones smarter? If yes, How? (2.5 marks). 2. Can you list a few examples of voice-based software used by iPhones? (2.5 marks) 3. Can you list a few challenges faced by voice-activated mobile devices? (2.5 marks) 4. Between Apple’s Siri and Pixel’s Google Assistant, which one do you prefer and why (2.5 marks)
Natural – language processing makes more sense in a mobile environment than in a desktop environment because the users of mobile devices are on the go and want to use their hands as little as possible. NLP adds a user – friendly environment and enhances data entry and data input for mobile users. And the increased memory and speed of mobile devices (as well as the increased speed of mobile and wireless networks) make them good candidates for NLP. As a result, voice activated functions, speech – to text dictations and voice activated dialling are now available for most smartphones, and voice – driven apps are getting smarter. For example, instead of saying ‘Call 551 – 535 – 1922’ to dial a phone number, users can now say ‘Dial Dad’ or ‘Phone my farther’.
Nuance’s Dragon Dictation, available as an iPhone app, allows users to dictate everything from memos and e – mails to Twitter updates; Dragon for E – mail offers similar capabilities for BlackBerry. Also, for the iPhone, Jibbigo phrases and simple sentences. Voice – driven apps such as Google Voice Search, Bing Voice Search and Microsoft Tellme are among the more popular smartphone applications. Vlingo, a multiplatform app, serves as ‘virtual assistant’ and is being used for such services as making restaurant reservations and booking movie tickets.
Apple’s Siri, available on iPhone 4S and beyond and Google Assistant, available on Google’s Pixel and other Android phones are other entrants in the fast – growing voice – activated mobile – device market. One of the challenges with the voice activated mobile devices is to get the device to understand what you mean, not just what you say. Other challenges include the use of foreign names, accents and maintaining accuracy in noisy environments.
1. Can NLP make smartphones smarter? If yes, How? (2.5 marks).
2. Can you list a few examples of voice-based software used by iPhones? (2.5 marks)
3. Can you list a few challenges faced by voice-activated mobile devices? (2.5 marks)
4. Between Apple’s Siri and Pixel’s Google Assistant, which one do you prefer and why (2.5 marks)
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