Autocomplete using NLP
| Autor: | Om Prakash Yadav, Maithili Salankar, Ayesha Shetty, Lissha Gasper, Mansi Patil |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| DOI: | 10.5281/zenodo.4817632 |
| Popis: | One of the most useful techniques for improving the contact experience is predicting the most likely word for immediate pick. Socializing has gotten to be much easier much appreciated to the headway of versatile phones and the broad utilize of the web. Individuals all over the world are progressively utilizing their versatile gadgets for informing, social organizing, keeping money, and a number of other errands. Because of the fast-paced nature of such a conversation, it is necessary to type as quickly as possible. As a result, a predictive text application is needed. One of the most widely used strategies for speeding up communication is word prediction/autocomplete. In any case, in this circumstance, the pace at which content is anticipated is additionally critical. The point of this venture is to create and present a modern word indicator calculation that suggests terms that are linguistically more reasonable, whereas too diminishing the number of keystrokes required by clients. {"references":["Gikandi, D(2006). Predictive text computer simplified keyboard with word and phrase auto-completion (plus text-to-speech and a foreign language translation option). U.S. Patent Application 11/308,013.","Gupta, N., & Mathur, P. (2012). Spell checking techniques in NLP: a survey. International journal of advanced research in computer science and software Engineering, 2(12), 217-221.","Manchanda, B., Athavale, V. A., & kumar Sharma, S. (2016). Various techniques used for grammar checking. International Journal of Computer Applications & Information Technology, 9(1), 177.","Moratanch, N., & Chitrakala, S. (2017, January). A survey on extractive text summarization. In 2017 international conference on computer, communication and signal processing (ICCCSP) (pp. 1-6). IEEE.","Nenkova, A., & McKeown, K. (2012). A survey of text summarization techniques. In Mining text data (pp. 43-76). Springer, Boston, MA."]} |
| Databáze: | OpenAIRE |
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