displaying one specific space as masked in self-paced reading?

[atfrederiksen]

Hi!
I'm designing a self-paced reading experiment (tokenized text, masked, forward_mask: true). For one word 'he' I would like to have the mask be 3 characters (xxx) instead of two, to make 'he' indistinguishable from 'she' when they are masked. Is there a way to do this while keeping the general shape of the words/sentence visible (so not masking all spaces)?
Thanks!

[Rachel - Participant Affairs]

Hi atfrederiksen,

I am checking on this for you, and I will get back to you soon.

Best,
Rachel

[Rachel - Participant Affairs]

Hi atfrederiksen,

You could do this by using "+" in place of normal spaces and "+" as the delimiter for the sentence containing the word in which you'd like the mask to be padded ('he'). So, for example, you could define this stimulus like so:

"ssr_1": {
  "type": "tokenized_text",
  "content": "He +is+very+happy",
  "delimiter": "+",
  "self_paced": true,
  "mode": "masked",
  "forward_mask": true
}

For the other stimulus, you could either define like so:

"ssr_2": {
  "type": "tokenized_text",
  "content": "She+is+very+happy",
  "delimiter": "+",
  "self_paced": true,
  "mode": "masked",
  "forward_mask": true
}
 
Or as you would typically define it:
 
"ssr_2": {
  "type": "tokenized_text",
  "content": "She is very happy",
  "self_paced": true,
  "mode": "masked",
  "forward_mask": true
}

However, these sentences will show up as single strings of (equal length) masked characters. It's not possible to accomplish what you are asking with individually masked elements. 

I hope that helps!

Best,
Rachel

[atfrederiksen]

Hi atfrederiksen,

You could do this by using "+" in place of normal spaces and "+" as the delimiter for the sentence containing the word in which you'd like the mask to be padded ('he'). So, for example, you could define this stimulus like so:

"ssr_1": {
  "type": "tokenized_text",
  "content": "He +is+very+happy",
  "delimiter": "+",
  "self_paced": true,
  "mode": "masked",
  "forward_mask": true
}

For the other stimulus, you could either define like so:

"ssr_2": {
  "type": "tokenized_text",
  "content": "She+is+very+happy",
  "delimiter": "+",
  "self_paced": true,
  "mode": "masked",
  "forward_mask": true
}
 
Or as you would typically define it:
 
"ssr_2": {
  "type": "tokenized_text",
  "content": "She is very happy",
  "self_paced": true,
  "mode": "masked",
  "forward_mask": true
}

However, these sentences will show up as single strings of (equal length) masked characters. It's not possible to accomplish what you are asking with individually masked elements. 

I hope that helps!

Best,
Rachel