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Then, the search system will detect the language spoken by the user. It will then detect the keywords and context of the sentence. Lastly, the device will return results depending on its output. A device with a screen might display the results, while a device without a screen will speak them back to
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Language is the most essential factor for a system to understand, and provide the most accurate results of what the user searches. This covers across languages, dialects, and accents, as users want a voice assistant that both understands them and speaks to them understandably.
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For example, in typed search an eCommerce user can easily copy and paste an alphanumeric product code to search field, but when speaking the search terms can be very different, such as "show me the new
Bluetooth headphones by Samsung".
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While spoken and written languages differ, voice search should support natural spoken language instead of only transforming voice into text and doing a regular text search with the help
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The difference between text and voice search is not only the input type. The mechanism must include an automatic speech recognition (ASR) for input, but it can also include
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to search the
Internet, a website, or an app. In a broader definition, voice search includes open-domain keyword query on any information on the Internet, for example in
142:. Voice search is not a replacement for typed search. Rather the search terms, experience and use cases can differ heavily depending on the input type.
138:. Voice search is often interactive, involving several rounds of interaction that allows a system to ask for clarification. Voice search is a type of
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for natural spoken search queries such as "What's the population for the United States"
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185:. Users might sometimes be required to activate the search by using a wake word.
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224:"Use Google Voice Search - Android - Google Search Help"
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48:introducing citations to additional sources
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38:Relevant discussion may be found on the
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380:Cross-language information retrieval
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181:or a regular display for output
31:relies largely or entirely on a
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527:Representational State Transfer
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359:Natural language search engine
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172:natural language understanding
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579:Information retrieval genres
532:Wide area information server
405:Search oriented architecture
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512:Search/Retrieve Web Service
309:Collaborative search engine
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118:, allows the user to use a
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479:Website mirroring software
395:Search engine optimization
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464:Robots exclusion standard
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489:Web query classification
469:Distributed web crawling
517:Search/Retrieve via URL
390:Search engine marketing
410:Selection-based search
314:Cross-language search
179:text-to-speech (TTS)
116:voice-enabled search
44:improve this article
400:Evaluation measures
344:Video search engine
124:Google Voice Search
584:Speech recognition
415:Document retrieval
228:support.google.com
156:speech recognition
146:Supported language
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440:Search aggregator
349:Enterprise search
304:Multimedia search
299:Metasearch engine
289:Web search engine
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435:Federated search
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324:Vertical search
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177:It can include
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553:Desktop search
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42:. Please help
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329:Social search
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61: –
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55:Find sources:
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33:single source
29:This article
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449:Web indexing
364:Voice search
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339:Audio search
334:Image search
319:Local search
231:. Retrieved
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166:How it works
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112:Voice search
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459:Spider trap
430:Multisearch
425:Web crawler
420:Text mining
136:Amazon Echo
573:Categories
522:OpenSearch
233:2024-05-12
210:References
183:modalities
70:newspapers
498:Protocols
484:Web query
199:SpeechWeb
40:talk page
541:See also
193:See also
100:May 2024
128:Cortana
84:scholar
507:Z39.50
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445:Index
373:Tools
282:Types
91:JSTOR
77:books
293:List
134:and
132:Siri
63:news
158:.
46:by
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226:.
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291:(
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98:(
88:·
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36:.
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