PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

3.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,005 utterances, 4,460 words searched).

  1. what're you doing ? LOI · eng_USA_Bloom/peter11.cha, line 881 · Peter 2;03
  2. what're you looking for ? LOI · eng_USA_Bloom/peter11.cha, line 979 · Peter 2;03
  3. ok # what's [/] what're you gonna sing ? PAT · eng_USA_Bloom/peter11.cha, line 1677 · Peter 2;03
  4. well what're you gonna sing ? PAT · eng_USA_Bloom/peter11.cha, line 1684 · Peter 2;03
  5. what're you doing ## ? PAT · eng_USA_Bloom/peter11.cha, line 2005 · Peter 2;03
  6. what're you gonna do ? PAT · eng_USA_Bloom/peter11.cha, line 2309 · Peter 2;03
  7. what're you gonna do ? PAT · eng_USA_Bloom/peter11.cha, line 2314 · Peter 2;03
  8. what're you looking for ? PAT · eng_USA_Bloom/peter11.cha, line 2417 · Peter 2;03
  9. <what're you> [/] what're you doing ? LOI · eng_USA_Bloom/peter11.cha, line 2432 · Peter 2;03
  10. <what're you> [/] what're you doing ? LOI · eng_USA_Bloom/peter11.cha, line 2432 · Peter 2;03
  11. ok # what're you gonna do now ? LOI · eng_USA_Bloom/peter11.cha, line 3558 · Peter 2;03
  12. what're you gonna do with it ? MOT · eng_USA_Bloom/peter11.cha, line 3933 · Peter 2;03
  13. what're you gonna do ? MOT · eng_USA_Bloom/peter11.cha, line 4616 · Peter 2;03
  14. what're you gonna sing about ? MOT · eng_USA_Bloom/peter11.cha, line 4639 · Peter 2;03
  1. eng_USA_Bloom/peter11.cha, line 881 · Peter, 2;3.24
    CHIyep # right # too !
    LOIare you eating the table ?
    LOI*LOI: what're you doing ?
    LOI# don't turn it on, Peter ## .
    CHIok .
  2. eng_USA_Bloom/peter11.cha, line 979 · Peter, 2;3.24
    CHIright .
    CHII show you # I show you # xxx .
    LOI*LOI: what're you looking for ?
    CHIpicture .
    PATwhat's that ?
  3. eng_USA_Bloom/peter11.cha, line 1677 · Peter, 2;3.24
    CHIhold this too .
    PATok ## .
    PAT*PAT: ok # what's [/] what're you gonna sing ?
    PATare you gonna play a song and sing ?
    CHIright .
  4. eng_USA_Bloom/peter11.cha, line 1684 · Peter, 2;3.24
    PATare you gonna play a song and sing ?
    CHIright .
    PAT*PAT: well what're you gonna sing ?
    PAThow (a)bout playing [/] uh [/] can you play [/] uh [/] I've been working on the railroad ?
    CHIright .
  5. eng_USA_Bloom/peter11.cha, line 2005 · Peter, 2;3.24
    LOII took Jenny away .
    CHIstop .
    PAT*PAT: what're you doing ## ?
    CHIturn record player on .
    PAToh well we're not gonna play the record player right now .
  6. eng_USA_Bloom/peter11.cha, line 2309 · Peter, 2;3.24
    CHIthe roller skates on ## .
    CHIwatch me .
    PAT*PAT: what're you gonna do ?
    CHIhmm .
    PATwhat're you gonna do ?
  7. eng_USA_Bloom/peter11.cha, line 2314 · Peter, 2;3.24
    PATwhat're you gonna do ?
    CHIhmm .
    PAT*PAT: what're you gonna do ?
    CHIroller skates .
    CHIskates xxx # Patsy # turn the record player on # ok .
  8. eng_USA_Bloom/peter11.cha, line 2417 · Peter, 2;3.24
    PATwhat do you need ?
    CHIhmm .
    PAT*PAT: what're you looking for ?
    CHIxxx .
    PATyou need that fork ?
  9. eng_USA_Bloom/peter11.cha, line 2432 · Peter, 2;3.24
    CHIneed a screw .
    CHIxxx .
    LOI*LOI: <what're you> [/] what're you doing ?
    LOIwhat's happening ?
    CHIa wheel they are broken .
  10. eng_USA_Bloom/peter11.cha, line 3558 · Peter, 2;3.24
    LOIyou're all finished ?
    CHIright .
    LOI*LOI: ok # what're you gonna do now ?
    CHIxxx # let's get some more .
    LOIsome more what ?
  11. eng_USA_Bloom/peter11.cha, line 3933 · Peter, 2;3.24
    MOTyou want it ?
    CHIright .
    MOT*MOT: what're you gonna do with it ?
    CHIjust put an a chairs .
    MOT0 .
  12. eng_USA_Bloom/peter11.cha, line 4616 · Peter, 2;3.24
    PATare you going outside this afternoon ?
    CHIright .
    MOT*MOT: what're you gonna do ?
    CHIride a bike .
    MOTwhere're you gonna go ?
  13. eng_USA_Bloom/peter11.cha, line 4639 · Peter, 2;3.24
    CHIthank you .
    CHIlalalala@si .
    MOT*MOT: what're you gonna sing about ?
    CHIxxx p@l # f@l and g@l .
    MOTabout who ?

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. Peter eng_USA_Bloom3.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter11.chaPeter 2;3.244,46013143.14

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. what're14 · 100.0%