PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (625 utterances, 2,154 words searched).

  1. what about, wanna read one of these books ? MOT · eng_USA_Valian/03a.cha, line 121 · 03A 2;01
  2. wanna read this one ? MOT · eng_USA_Valian/03a.cha, line 148 · 03A 2;01
  3. what's the other one ? MOT · eng_USA_Valian/03a.cha, line 477 · 03A 2;01
  4. like the one upstairs . MOT · eng_USA_Valian/03a.cha, line 572 · 03A 2;01
  5. what about this one, Child ? IN2 · eng_USA_Valian/03a.cha, line 964 · 03A 2;01
  6. another one ! MOT · eng_USA_Valian/03a.cha, line 1297 · 03A 2;01
  7. one +//. MOT · eng_USA_Valian/03a.cha, line 1360 · 03A 2;01
  8. and who's the one you like to talk to most of the time ? MOT · eng_USA_Valian/03a.cha, line 1543 · 03A 2;01
  9. another one ? MOT · eng_USA_Valian/03a.cha, line 1753 · 03A 2;01
  10. yay, there's one . INV · eng_USA_Valian/03a.cha, line 1788 · 03A 2;01
  1. INVgood .
    MOTwhy did it break ?
    MOT*MOT: what about, wanna read one of these books ?
    CHIcan you do that ?
    INVwhat are you doing ?
  2. MOTwhat ?
    CHIright here .
    MOT*MOT: wanna read this one ?
    MOT# what are you gonna do ?
    MOTwhat are you doing ?
  3. MOTwhat's the other birdie say ?
    CHItweet tweet .
    MOT*MOT: what's the other one ?
    MOTPhoebe ?
    CHIyes .
  4. MOTxxx oven .
    CHIoven .
    MOT*MOT: like the one upstairs .
    CHII cut .
    CHII cut myself [% did not actually cut himself] .
  5. INVwho else is in the bag ?
    INVsee who else is in there .
    IN2*IN2: what about this one, Child ?
    CHIcow .
    MOTcow ?
  6. MOTlook at this .
    CHI(a)nother one .
    MOT*MOT: another one !
    CHIone .
    CHIone two three !
  7. MOTok .
    MOTwhat's that ?
    MOT*MOT: one +//.
    MOTwhy don't you count for Mummy .
    CHIxxx .
  8. CHIxxx [=! laughter] .
    MOTxxx .
    MOT*MOT: and who's the one you like to talk to most of the time ?
    CHIxx .
    CHIxx .
  9. INVxxx .
    CHI(a)nother one .
    MOT*MOT: another one ?
    INV[- with MOT] out .
    INVout .
  10. ADUwhat's that letter ?
    CHIxxx .
    INV*INV: yay, there's one .
    MOTsay them, Child .
    MOTwhat letter's that ?

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. 03A eng_USA_Valian4.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/03a.cha03A 2;1.232,15410104.64

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. one10 · 100.0%