Reputation: 173
I am trying to work on a web-application using crowd-sourcing to detect cross-lingual plagiarism. The interface contains text in 2 different languages and the user has to decide whether they find the text to be similar (plagiarised) or not. I need help with a text highlighting feature which is similar to the one provided by Google Translate. Whenever the user hovers over a word, not only that word gets highlighted but also words similar in meaning to that word in the other language also gets highlighted. The interface also contains a list of top 10 words in each language. And whenever
Here is a screenshot of the web-app till now-
I am running a ML algorithm at the backend which gives a list of similar meaning words. I am using PHP, JavaScript for the frontend. Till now I am able to implement a feature which highlight same words but I want to extend this idea to highlighting words which mean the same.
I would like to know how can I create a list of multiple arrays so that whenever the user hovers upon a word, all the words in that array also get highlighted. Can I do it dynamically using a database rather than manually creating these arrays because there will be many such documents ?
Upvotes: 0
Views: 725
Reputation: 455
It'd be good to see an example of what you want. Assuming you get an array of similar words for every word from your server -
You could possibly do this by maintaining a simple JSON object as follows (which would act as a dictionary or hashmap).
Something like this -
var dict = {
'hello': ['hi', 'hola', 'bonjour'],
'world': ['world', 'monde']
}
You could create it like this in JavaScript.
var dict = {};
var word = 'hello';
var similar_words = ['hi', 'hola', 'bonjour']; //returned by your server
//push the word into your random access dictionary
dict[word] = similar_words;
//In the hover callback you could access the array you want directly using dict[word].
Alternatively you could also create a similar JSON object on your server and pre-compute all similar words dictionaries and store the JSON documents in a database like MongoDB.
Upvotes: 1