A comprehensive review and evaluation on text predictive and entertainment systems

01/08/2022
by   Hozan K. Hamarashid, et al.
0

One of the most important ways to experience communication and interact with the systems is by handling the prediction of the most likely words to happen after typing letters or words. It is helpful for people with disabilities due to disabling people who could type or enter texts at a limited slow speed. Also, it is beneficial for people with dyslexia and those people who are not well with spells of words. Though, an input technology, for instance, the next word suggestion facilitates the typing process in smartphones as an example. This means that when a user types a word, then the system suggests the next words to be chosen in which the necessary word by the user. Besides, it can be used in entertainment as a gam, for example, to determine a target word and reach it or tackle it within 10 attempts of prediction. Generally, the systems depend on a text corpus, which was provided in the system to conduct the prediction. 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 most probable words for the user to select, this could be done via next word prediction systems. There are several techniques can be found in literature, which is utilized to conduct a variety of next word prediction systems by using different approaches. In this paper, a survey of miscellaneous techniques towards the next word prediction systems will be addressed. Besides, the evaluation of the prediction systems will be discussed. Then, a modal technique will be determined to be utilized for the next word prediction system from the perspective of easiness of implementation and obtaining a good result.

READ FULL TEXT
research
07/27/2020

Next word prediction based on the N-gram model for Kurdish Sorani and Kurmanji

Next word prediction is an input technology that simplifies the process ...
research
07/14/2020

Deep learning models for representing out-of-vocabulary words

Communication has become increasingly dynamic with the popularization of...
research
03/08/2023

Lexical Complexity Prediction: An Overview

The occurrence of unknown words in texts significantly hinders reading c...
research
11/25/2019

Towards robust word embeddings for noisy texts

Research on word embeddings has mainly focused on improving their perfor...
research
11/06/2021

Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words

Trigger-word detection plays an important role as the entry point of use...
research
01/23/2021

ARTH: Algorithm For Reading Text Handily – An AI Aid for People having Word Processing Issues

The objective of this project is to solve one of the major problems face...
research
11/12/2018

Not Just Depressed: Bipolar Disorder Prediction on Reddit

Bipolar disorder, an illness characterized by manic and depressive episo...

Please sign up or login with your details

Forgot password? Click here to reset