PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 2,381 words searched).

  1. I'll be back in a second , Anne . MOT · eng_british_Manchester_I/anne32a.cha, line 723 · Anne 2;08
  2. probably Anne . MOT · eng_british_Manchester_I/anne32a.cha, line 781 · Anne 2;08
  3. <why does his> [//] why is his bottom sticking out , Anne ? MOT · eng_british_Manchester_I/anne32a.cha, line 1133 · Anne 2;08
  4. you take your shopping list , Anne and see if you can buy something on your shopping list . MOT · eng_british_Manchester_I/anne32a.cha, line 1352 · Anne 2;08
  5. I think they're by Lucy , Anne . MOT · eng_british_Manchester_I/anne32a.cha, line 1798 · Anne 2;08
  6. oh Anne . MOT · eng_british_Manchester_I/anne32a.cha, line 1868 · Anne 2;08
  1. MOToh dear .
    MOTlet me just go to the door again .
    MOT*MOT: I'll be back in a second , Anne .
    MOTdid he have some glasses like Daddy's ?
    CHIyeah .
  2. MOTyou think that man got the radio back off the silly man and brought it back for us ?
    CHIyeah .
    MOT*MOT: probably Anne .
    MOTyes .
    MOT<how was Dad> [//] how did Daddy feel when the radio was taken ?
  3. CHIthink that one .
    MOTI think that one goes on the page with Curly's bottom sticking out .
    MOT*MOT: <why does his> [//] why is his bottom sticking out , Anne ?
    CHIbecause he's trying to get in .
    MOTbecause he's trying to get out ,, isn't he ?
  4. MOTis you have to go to the shop .
    CHImmhm .
    MOT*MOT: you take your shopping list , Anne and see if you can buy something on your shopping list .
    MOTand bring it back and put it in your shopping trolley .
    MOTleave your shopping trolley there , look .
  5. CHIoh .
    CHIwhere's your trousers ?
    MOT*MOT: I think they're by Lucy , Anne .
    CHIxxx .
    MOTthat's her hat .
  6. MOToh .
    CHItake this +...
    MOT*MOT: oh Anne .
    MOTshe's crying again .
    CHIoh .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Anne eng_british_Manchester_I2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne32a.chaAnne 2;8.262,381662.52

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. anne6 · 100.0%