Name
Abstract | ||
|---|---|---|
Providing text prediction systems is an important way to facilitate communication and interaction with the systems and machines. Although a text prediction system facilitates the typing process, it is helpful for people with disabilities to type or enter texts at a limited or slow speed. This means that when a user types a word, then the system suggests the next word to be chosen. It is also beneficial for people with dyslexia and those who are not good at spelling words. Besides, it can be used in entertainment as a game, for example, to determine a target word and reach it or tackle it within 10 attempts of prediction. Generally, the text prediction systems depend on a corpus. Writing every single word is time-consuming; therefore, it is vitally important to decrease time consumption by reducing efforts to input texts in the systems by offering the most probable words for the user to select. This paper addresses a survey of miscellaneous techniques toward text prediction with entertainment systems and their evaluation. It also determines a modal technique to be utilized for the next word prediction system from the perspective of ease of implementation and obtaining a good result. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s00500-021-06691-4 | Soft Computing |
Keywords | DocType | Volume |
Next word prediction, Next word suggestion techniques, Word prediction survey, Entertainment computing, Entertainment games, Social media, Recommendation | Journal | 26 |
Issue | ISSN | Citations |
4 | 1432-7643 | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamarashid, Hozan K. | 1 | 0 | 0.34 |
| Saeed, Soran A. | 2 | 0 | 0.34 |
| Rashid, Tarik A. | 3 | 0 | 0.34 |