Practice Language
Project description
# prala
### Practice Language
The aim of this project is to produce a software which can be used by a **language** learner to learn and practice new words, expressions, phrases. _(I will refer to them as **words**)_
The main features are the following:
- Randomly asks words
- It says out the question and the correct answer in the appropriate language.
- When it asks the question it shows the part of the speech and the note if there is any
- It ask words more often that are difficult to learn
- It shows statistics about the wrong/good answers
- It is possible to filter words that you want to practice
- It shows the pattern of the right answer (letter's positions, commas, exclamation marks)
- Features can be turn off (say out/show note/show pattern)
The software can generate a _template dictionary_ but the **filling up** is the user's task.
The idea is that the learner is reading a book or any other media and he collects the unknown/new words, checks it in a dictionary and write it down in the _dictionary_.
Every **new line** in the _dictionary_ represents a new word or expression. It contains the **part of speech**, a **filter**, the **meaning** of the word in the learner's language and the **word** which is to be learnt.
The **filter** is to group words by chapters or the days when it was found/collected or other freely chosen criteria. In the learning phase it is possible to concentrate on one specific **group of words** using this filter. It is also possible to concentrate on a specific **part of speech**.
On the practice phase the software shows the meaning of a word from the filtered specified dictionary and waiting for the answer.
The strategy behind showing a randomly chosen word is the following:
- Until every word was answered shows only the not answerd words randomly
- It is logged for every word that the answer was good or wrong. From this statistics a number is generated for the word. Higher number gives bigger chance to be asked.
This number depends on
- The last answer was good or wrong
- How hectyc was the answer
- The ratio between the good and wrong answers
### Practice Language
The aim of this project is to produce a software which can be used by a **language** learner to learn and practice new words, expressions, phrases. _(I will refer to them as **words**)_
The main features are the following:
- Randomly asks words
- It says out the question and the correct answer in the appropriate language.
- When it asks the question it shows the part of the speech and the note if there is any
- It ask words more often that are difficult to learn
- It shows statistics about the wrong/good answers
- It is possible to filter words that you want to practice
- It shows the pattern of the right answer (letter's positions, commas, exclamation marks)
- Features can be turn off (say out/show note/show pattern)
The software can generate a _template dictionary_ but the **filling up** is the user's task.
The idea is that the learner is reading a book or any other media and he collects the unknown/new words, checks it in a dictionary and write it down in the _dictionary_.
Every **new line** in the _dictionary_ represents a new word or expression. It contains the **part of speech**, a **filter**, the **meaning** of the word in the learner's language and the **word** which is to be learnt.
The **filter** is to group words by chapters or the days when it was found/collected or other freely chosen criteria. In the learning phase it is possible to concentrate on one specific **group of words** using this filter. It is also possible to concentrate on a specific **part of speech**.
On the practice phase the software shows the meaning of a word from the filtered specified dictionary and waiting for the answer.
The strategy behind showing a randomly chosen word is the following:
- Until every word was answered shows only the not answerd words randomly
- It is logged for every word that the answer was good or wrong. From this statistics a number is generated for the word. Higher number gives bigger chance to be asked.
This number depends on
- The last answer was good or wrong
- How hectyc was the answer
- The ratio between the good and wrong answers
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