PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (369 utterances, 1,776 words searched).

  1. I don't think we're going to be able to # tow it . MOT · eng_british_Manchester_II/warr09a.cha, line 32 · Warren 2;01
  2. he can be a policeman and he can mend fire+engines . MOT · eng_british_Manchester_II/warr09a.cha, line 273 · Warren 2;01
  3. Tom might be able to mend it . MOT · eng_british_Manchester_II/warr09a.cha, line 437 · Warren 2;01
  4. or Sue might be able to mend it . MOT · eng_british_Manchester_II/warr09a.cha, line 441 · Warren 2;01
  5. you might just be kicking a present for you . MOT · eng_british_Manchester_II/warr09a.cha, line 611 · Warren 2;01
  6. you be careful . MOT · eng_british_Manchester_II/warr09a.cha, line 1285 · Warren 2;01
  1. MOTI don't think this will hook on very well actually .
    MOTno .
    MOT*MOT: I don't think we're going to be able to # tow it .
    CHIit go in the garage .
    MOToh it's just mended by itself , has it ?
  2. CHIbang bash .
    MOTwhat a clever policeman .
    MOT*MOT: he can be a policeman and he can mend fire+engines .
    MOTmy goodness .
    MOTwhat a handy person to have .
  3. MOTthey're well and truly broken these back wheels .
    MOTactually if we take this to Sue's today , Warren .
    MOT*MOT: Tom might be able to mend it .
    MOTshall we take +//.
    MOTor Sue might be able to mend it .
  4. MOTTom might be able to mend it .
    MOTshall we take +//.
    MOT*MOT: or Sue might be able to mend it .
    MOTshall we take it to Tom's ?
    MOTbecause we're going to see Tom later .
  5. MOTno .
    MOTdon't kick .
    MOT*MOT: you might just be kicking a present for you .
    MOTno .
    MOTno .
  6. CHIcareful .
    MOTthat's right .
    MOT*MOT: you be careful .
    MOTdon't +...
    MOToh you're going to +//.

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_II3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr09a.chaWarren 2;1.011,776663.38

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. be6 · 100.0%