PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 2,178 words searched).

  1. now then . MOT · eng_british_Manchester_II/warr17a.cha, line 625 · Warren 2;03
  2. now then . MOT · eng_british_Manchester_II/warr17a.cha, line 662 · Warren 2;03
  3. now can you see the mermaid's eye ? MOT · eng_british_Manchester_II/warr17a.cha, line 756 · Warren 2;03
  4. now then . MOT · eng_british_Manchester_II/warr17a.cha, line 785 · Warren 2;03
  5. now then . MOT · eng_british_Manchester_II/warr17a.cha, line 834 · Warren 2;03
  6. now is there any more of your tea set that needs to go in the box ? MOT · eng_british_Manchester_II/warr17a.cha, line 1267 · Warren 2;03
  1. eng_british_Manchester_II/warr17a.cha, line 625 · Warren, 2;3.25
    CHIthat's +...
    MOTright .
    MOT*MOT: now then .
    MOTwhat else are we looking for ?
    CHII don't know .
  2. eng_british_Manchester_II/warr17a.cha, line 662 · Warren, 2;3.25
    MOTyou've done all the top of the jigsaw .
    MOTright .
    MOT*MOT: now then .
    MOThere there's a little bit of a turtle .
    MOTcan you see the rest of the turtle ?
  3. eng_british_Manchester_II/warr17a.cha, line 756 · Warren, 2;3.25
    MOTit is big enough if you are accurate child .
    MOTthere we go .
    MOT*MOT: now can you see the mermaid's eye ?
    MOTand there's also the legs of an octopus .
    MOTorange legs .
  4. eng_british_Manchester_II/warr17a.cha, line 785 · Warren, 2;3.25
    CHIgo fit .
    MOTbrilliant .
    MOT*MOT: now then .
    MOTthe mermaid .
    MOTshe's the mermaid .
  5. eng_british_Manchester_II/warr17a.cha, line 834 · Warren, 2;3.25
    MOToh yes .
    MOTso it does .
    MOT*MOT: now then .
    MOTwhat goes here do you think ?
    CHIthere .
  6. eng_british_Manchester_II/warr17a.cha, line 1267 · Warren, 2;3.25
    MOTlet's get the box lined up , shall we ?
    MOTwould you like to drive a tipper truck when you're grown up ?
    MOT*MOT: now is there any more of your tea set that needs to go in the box ?
    CHIwhere's my bag gone ?
    MOTcan you put the rest of your tea set away please ?

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. Warren eng_british_Manchester_II2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr17a.chaWarren 2;3.252,178662.75

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. now6 · 100.0%