PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,027 words searched).

  1. what're you doing ? MOT · eng_USA_Brown/sarah034.cha, line 267 · Sarah 2;10
  2. what're you saying ? MOT · eng_USA_Brown/sarah034.cha, line 656 · Sarah 2;10
  3. what're you watching ? MOT · eng_USA_Brown/sarah034.cha, line 805 · Sarah 2;10
  4. what're you looking at ? MOT · eng_USA_Brown/sarah034.cha, line 902 · Sarah 2;10
  5. what're you looking at ? MOT · eng_USA_Brown/sarah034.cha, line 906 · Sarah 2;10
  6. what're you so quiet about ? MOT · eng_USA_Brown/sarah034.cha, line 908 · Sarah 2;10
  7. what're you yawning for # huh ? MOT · eng_USA_Brown/sarah034.cha, line 948 · Sarah 2;10
  1. eng_USA_Brown/sarah034.cha, line 267 · Sarah, 2;10.20
    CHI<yeah # yeah> [/] # yeah .
    CHIxxx # <yeah # yeah> [/] # yeah .
    MOT*MOT: what're you doing ?
    MOToh # all right .
    MOTgo ahead .
  2. eng_USA_Brown/sarah034.cha, line 656 · Sarah, 2;10.20
    MOTsay it nice and loud so I can hear you .
    MOTI can't hear you .
    MOT*MOT: what're you saying ?
    CHIxxx .
    MOTwhat ?
  3. eng_USA_Brown/sarah034.cha, line 805 · Sarah, 2;10.20
    CHIyou (a)n(d) me .
    CHIyou and me .
    MOT*MOT: what're you watching ?
    MOThuh ?
    CHIno # I wanna hear record .
  4. eng_USA_Brown/sarah034.cha, line 902 · Sarah, 2;10.20
    MOTthat hurt ?
    MOTSarah # there isn't even a cut there .
    MOT*MOT: what're you looking at ?
    MOThmm ?
    MOTwhat're you looking at ?
  5. eng_USA_Brown/sarah034.cha, line 906 · Sarah, 2;10.20
    MOTwhat're you looking at ?
    MOThmm ?
    MOT*MOT: what're you looking at ?
    MOTwhat're you so quiet about ?
    CHIow !
  6. eng_USA_Brown/sarah034.cha, line 908 · Sarah, 2;10.20
    MOThmm ?
    MOTwhat're you looking at ?
    MOT*MOT: what're you so quiet about ?
    CHIow !
    MOTwhat happened ?
  7. eng_USA_Brown/sarah034.cha, line 948 · Sarah, 2;10.20
    MOThurt .
    CHIhurt .
    MOT*MOT: what're you yawning for # huh ?
    MOTtired ?
    MOTwhat ?

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_Brown6.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah034.chaSarah 2;10.201,027776.82

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're7 · 100.0%