PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

5.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (322 utterances, 1,350 words searched).

  1. you're trying to blow that, make a sound out of it ? MOT · eng_USA_Valian/21a.cha, line 105 · 21A 2;06
  2. oh, you mean you're gonna make, make me do the whole thing ? MOT · eng_USA_Valian/21a.cha, line 161 · 21A 2;06
  3. oh, you mean you're gonna make, make me do the whole thing ? MOT · eng_USA_Valian/21a.cha, line 161 · 21A 2;06
  4. you mean you'll make me have to do it like it really is supposed to be ? MOT · eng_USA_Valian/21a.cha, line 235 · 21A 2;06
  5. we could make a garage, for the trucks, and a barn for the animals . MOT · eng_USA_Valian/21a.cha, line 417 · 21A 2;06
  6. right in here, is that where we should make them [=? one] ? MOT · eng_USA_Valian/21a.cha, line 868 · 21A 2;06
  7. should we make a +... MOT · eng_USA_Valian/21a.cha, line 969 · 21A 2;06
  1. MOTwhat are you doing ?
    CHII was trying to blow this .
    MOT*MOT: you're trying to blow that, make a sound out of it ?
    CHImake a sound .
    MOTum .
  2. MOTno ?
    CHI# we didn't finish making a forklift xxx .
    MOT*MOT: oh, you mean you're gonna make, make me do the whole thing ?
    CHIuh hmm, and I'll help xxx .
    MOTyou'll help me ?
  3. CHIyou have to finish !
    MOT&=laugh all right .
    MOT*MOT: you mean you'll make me have to do it like it really is supposed to be ?
    CHII xxx gonna make you do that .
    MOTlet's see, we're gonna have to +...
  4. MOToh, another one .
    MOTyou know what we could do ?
    MOT*MOT: we could make a garage, for the trucks, and a barn for the animals .
    MOTlook at that .
    MOThow many, um, how many um, cement mixers do we have here ?
  5. MOTwhere do you want to put this, build the stalls ?
    CHIum, maybe um, xxx .
    MOT*MOT: right in here, is that where we should make them [=? one] ?
    CHIright there .
    MOTthere .
  6. MOThmm ?
    CHIxxx .
    MOT*MOT: should we make a +...
    CHIhere, here, here +...
    MOThere, here, where should we put him ?

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. 21A eng_USA_Valian5.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/21a.cha21A 2;6.051,350675.19

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. make7 · 100.0%