PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

29.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 368 words searched).

  1. what ? MOT · eng_USA_Brown/sarah019.cha, line 24 · Sarah 2;06
  2. who did what ? MOT · eng_USA_Brown/sarah019.cha, line 35 · Sarah 2;06
  3. what ? ANN · eng_USA_Brown/sarah019.cha, line 83 · Sarah 2;06
  4. what ? MOT · eng_USA_Brown/sarah019.cha, line 362 · Sarah 2;06
  5. what're you goin(g) to get ? MOT · eng_USA_Brown/sarah019.cha, line 428 · Sarah 2;06
  6. what're you goin(g) to get at the store ? MOT · eng_USA_Brown/sarah019.cha, line 430 · Sarah 2;06
  7. what's Ann_Marie doing # Sarah ? COU · eng_USA_Brown/sarah019.cha, line 462 · Sarah 2;06
  8. what'd I tell you about saying that ? MOT · eng_USA_Brown/sarah019.cha, line 466 · Sarah 2;06
  9. what's the matter ? MOT · eng_USA_Brown/sarah019.cha, line 491 · Sarah 2;06
  10. what is she sayin(g) ? MOT · eng_USA_Brown/sarah019.cha, line 523 · Sarah 2;06
  11. what're you doin(g) ? MOT · eng_USA_Brown/sarah019.cha, line 525 · Sarah 2;06
  1. eng_USA_Brown/sarah019.cha, line 24 · Sarah, 2;6.30
    CHIxxx [?] .
    MOT<oh> [<] .
    MOT*MOT: what ?
    MOTtalk right .
    MOTtalk right .
  2. eng_USA_Brown/sarah019.cha, line 35 · Sarah, 2;6.30
    ANNSarah # c(o)me on .
    CHIwho did that ?
    MOT*MOT: who did what ?
    CHIwho did that ?
    MOTI don('t) know .
  3. eng_USA_Brown/sarah019.cha, line 83 · Sarah, 2;6.30
    ANNdon't .
    CHIxxx .
    ANN*ANN: what ?
    CHIxxx .
    ANNh@l .
  4. eng_USA_Brown/sarah019.cha, line 362 · Sarah, 2;6.30
    MOTxxx ?
    CHIxxx .
    MOT*MOT: what ?
    CHIAnn_(Ma)rie .
    MOTxxx .
  5. eng_USA_Brown/sarah019.cha, line 428 · Sarah, 2;6.30
    MOTno # no money .
    CHIno mo(ne)y [?] .
    MOT*MOT: what're you goin(g) to get ?
    MOTwhat're you goin(g) to get at the store ?
    CHImilk .
  6. eng_USA_Brown/sarah019.cha, line 430 · Sarah, 2;6.30
    CHIno mo(ne)y [?] .
    MOTwhat're you goin(g) to get ?
    MOT*MOT: what're you goin(g) to get at the store ?
    CHImilk .
    MOTmilk ?
  7. eng_USA_Brown/sarah019.cha, line 462 · Sarah, 2;6.30
    MOTis that something new ?
    ANNyeah .
    COU*COU: what's Ann_Marie doing # Sarah ?
    CHIxxx Cha(tt)y_Baby swing .
    MOTwhat'd I tell you about saying that ?
  8. eng_USA_Brown/sarah019.cha, line 466 · Sarah, 2;6.30
    COUwhat's Ann_Marie doing # Sarah ?
    CHIxxx Cha(tt)y_Baby swing .
    MOT*MOT: what'd I tell you about saying that ?
    MOTsay +"/.
    MOT+" yes .
  9. eng_USA_Brown/sarah019.cha, line 491 · Sarah, 2;6.30
    CHImy swing .
    ANNow !
    MOT*MOT: what's the matter ?
    ANNshe hit me with that thing .
    ANN# Sarah .
  10. eng_USA_Brown/sarah019.cha, line 523 · Sarah, 2;6.30
    CHIdere .
    CHIhole .
    MOT*MOT: what is she sayin(g) ?
    MOTwhat're you doin(g) ?
    CHII swing .
  11. eng_USA_Brown/sarah019.cha, line 525 · Sarah, 2;6.30
    CHIhole .
    MOTwhat is she sayin(g) ?
    MOT*MOT: what're you doin(g) ?
    CHII swing .
    CHIdere .

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. Sarah eng_USA_Brown29.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah019.chaSarah 2;6.30368111129.89

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. what11 · 100.0%