Word Prediction Software

Corrective Measures and Compensation Measures In order to truly understand the nature of compensation assistance, I think it is necessary to compare corrective measures easily. There are basically two different ways to solve the learning difficulties of students with disabilities. The first is to reduce deficits and improve weaknesses by adding structured customs and retraining skills and concepts. The second method is compensatory and attempts to eliminate or avoid deficits and reduce learning disabilities by focusing on the strengths of students.

SpeakQ is a speech input and word prediction software designed for people with learning disabilities. This voice input program is a plug-in for WordQ (see another entry). In order for the training program to recognize his / her voice, the user repeats what the computer said. Once the program is trained, the user can indicate the text in continuous voice mode, or by selecting a word from the list generated by word prediction. Recognized words and phrases can be read aloud immediately

Prediction is a speedup strategy that the device seeks to predict characters, words, or phrases that the user is writing. The user can then select the correct prediction without writing the complete word. Word prediction software can determine predictive words based on frequency within a language, relevance to other words, past choices of users, or grammatical fitness. I hardened my body for the third time and pulled out my left leg. I wrote a letter on one side. I drew half the other half ... my teeth are very stiff and hardly penetrated my lower lip. But - I drew it - the letter 'A' ... is collapsing, the side is clumsy, the waves are unstable, the center line is very heterogeneous ... I did it! I already started - this is the opportunity to express myself in my mind. Yes, I can not speak with my lips, but now I speak more persuasively than words - I will speak in words

You can easily write challenges using software with invalid language. With the speech recognition program, students can read the microphone aloud and display their own words on the screen of the computer. Word prediction software helps you spell and build vocabulary and provides a drop down list of words that students can choose.

As part of the initial assistive technology evaluation, Julie got the opportunity to use word prediction software with speech. As she did not seem to have phoneme recognition, the evaluation team did not think that this program was useful for Julie. Julie was given the initials "I like it." "She quickly learned how to read this sentence aloud to the computer, in the case of a prompt, verbally completed the sentence and said" st ". After that, Julie's teacher entered "Why?" In the program and asked Julie to read and read the questions. Then Julie promptly answered "from" and type in the first "b". When the word "beause" is displayed on the display, Julie recognizes it immediately and reads it and selects it.