PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (412 utterances, 1,673 words searched).

  1. I had plenty . MOT · eng_USA_Brown/adam15.cha, line 1167 · Adam 2;10
  2. I've had enough . RIC · eng_USA_Brown/adam15.cha, line 1171 · Adam 2;10
  3. maybe somebody had to stop suddenly . MOT · eng_USA_Brown/adam15.cha, line 1283 · Adam 2;10
  4. no # you had juice in your espresso . MOT · eng_USA_Brown/adam15.cha, line 1311 · Adam 2;10
  5. he doesn't want a cookie after you've had your dirty fingers all over it . MOT · eng_USA_Brown/adam15.cha, line 2334 · Adam 2;10
  6. I think you've had enough . MOT · eng_USA_Brown/adam15.cha, line 2702 · Adam 2;10
  7. no # I've had enough # and I think you've had enough too . MOT · eng_USA_Brown/adam15.cha, line 2706 · Adam 2;10
  8. no # I've had enough # and I think you've had enough too . MOT · eng_USA_Brown/adam15.cha, line 2706 · Adam 2;10
  1. RICno thank you .
    CHIwhy not ?
    MOT*MOT: I had plenty .
    CHIhmm ?
    RICI've had enough .
  2. MOTI had plenty .
    CHIhmm ?
    RIC*RIC: I've had enough .
    CHIlittle one .
    CHIlittle one .
  3. CHIwhat dat noise for ?
    CHIfor # Mommy ?
    MOT*MOT: maybe somebody had to stop suddenly .
    CHIsudden .
    CHIsudden ?
  4. CHIwant some juice .
    CHIwant some juice .
    MOT*MOT: no # you had juice in your espresso .
    CHIwant take that down ?
    CHIwhat else ?
  5. MOTlike some ones ?
    CHIthrees .
    MOT*MOT: he doesn't want a cookie after you've had your dirty fingers all over it .
    RICthank you .
    CHIyou welcome .
  6. MOTno more .
    CHIwhy not ?
    MOT*MOT: I think you've had enough .
    CHIwant some more # coffee your coffee .
    MOTno # I've had enough # and I think you've had enough too .
  7. MOTI think you've had enough .
    CHIwant some more # coffee your coffee .
    MOT*MOT: no # I've had enough # and I think you've had enough too .
    CHIwant some yours .
    MOToh no # I've finished mine .

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. Adam eng_USA_Brown4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.021,673784.78

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. had8 · 100.0%