PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

6.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (252 utterances, 1,064 words searched).

  1. so what have we got ? MOT · eng_british_Manchester_II/warr25b.cha, line 88 · Warren 2;06
  2. how many shapes have you got now cut out ? MOT · eng_british_Manchester_II/warr25b.cha, line 137 · Warren 2;06
  3. you have pushed it right down . MOT · eng_british_Manchester_II/warr25b.cha, line 268 · Warren 2;06
  4. we'll have to reroll it . MOT · eng_british_Manchester_II/warr25b.cha, line 907 · Warren 2;06
  5. <let's have a> [/] let's have a think how we can do this . MOT · eng_british_Manchester_II/warr25b.cha, line 1048 · Warren 2;06
  6. <let's have a> [/] let's have a think how we can do this . MOT · eng_british_Manchester_II/warr25b.cha, line 1048 · Warren 2;06
  7. well we've not really got enough soft stuff , have we ? MOT · eng_british_Manchester_II/warr25b.cha, line 1125 · Warren 2;06
  1. MOThooray .
    MOTthere we go .
    MOT*MOT: so what have we got ?
    MOTa dog .
    MOTan elephant .
  2. CHIMummy hold it and prod it .
    MOThooray .
    MOT*MOT: how many shapes have you got now cut out ?
    CHII 0have [*] got a dog .
    CHIelephant .
  3. CHIjust push it right down .
    CHImy [*] push it right down .
    MOT*MOT: you have pushed it right down .
    CHImy [*] push it .
    CHIthat is a rhino .
  4. CHIput it back on .
    MOTwell we can't really .
    MOT*MOT: we'll have to reroll it .
    MOTnow can you make sure that you don't drop the balls on the carpet .
    CHII squash it .
  5. MOTI think I see .
    MOTright .
    MOT*MOT: <let's have a> [/] let's have a think how we can do this .
    CHImake a train .
    CHIthere's a train .
  6. CHIwant make some more trains .
    CHImake some more trains .
    MOT*MOT: well we've not really got enough soft stuff , have we ?
    CHII have some pink trains .
    MOTwell there isn't the space on the mat for it .

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_II6.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr25b.chaWarren 2;6.241,064676.58

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. have7 · 100.0%