PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.64 per 1,000 words of the child (CHI), in 1 of 1 transcripts (257 utterances, 926 words searched).

  1. # what ? CHI · eng_USA_Brown/sarah136.cha, line 35 · Sarah 5;00
  2. what is it ? CHI · eng_USA_Brown/sarah136.cha, line 251 · Sarah 5;00
  3. what else ? CHI · eng_USA_Brown/sarah136.cha, line 353 · Sarah 5;00
  4. what's dat for ? CHI · eng_USA_Brown/sarah136.cha, line 517 · Sarah 5;00
  5. what ? CHI · eng_USA_Brown/sarah136.cha, line 1035 · Sarah 5;00
  6. that's what the big girls say # but not the nasty ones . CHI · eng_USA_Brown/sarah136.cha, line 1090 · Sarah 5;00
  7. what ? CHI · eng_USA_Brown/sarah136.cha, line 1119 · Sarah 5;00
  8. what else ? CHI · eng_USA_Brown/sarah136.cha, line 1244 · Sarah 5;00
  1. CHIfirst you .
    CHIyou want zero or # um .
    CHI*CHI: # what ?
    CHIyou know how to play it ?
    GAIyou explain it to me .
  2. CHIit got # tied up .
    CHII can do this page .
    CHI*CHI: what is it ?
    CHItwo .
    CHIsame thing as these ?
  3. CHIthey're all down the beach # though .
    CHII got the headband (a)n(d) pocketbook that match with # (a)n(d) um # <um # um # um # um> [/] .
    CHI*CHI: what else ?
    GAIany toys ?
    CHIyes # clock .
  4. CHImight be a prize in here .
    MOTno .
    CHI*CHI: what's dat for ?
    CHIcan I try dat ?
    CHInothin(g) in here .
  5. CHIuhhuh .
    MOTthat's not a very nice thing to do # is it ?
    CHI*CHI: what ?
    CHIsqueal ?
    CHIsquealer # squealer # Donna is a squealer .
  6. CHIthey're smart+alecs .
    MOTthey're smart+alecs # yeah .
    CHI*CHI: that's what the big girls say # but not the nasty ones .
    MOTwhat nasty ones ?
    CHIthe nasty words .
  7. MOTjust thought of it .
    MOTy(ou) know what happens <when you're> [/] when you're a bad girl in school ?
    CHI*CHI: what ?
    MOTthe teacher takes a clothes+pin (a)n(d) she says # +"/.
    MOT+" Sarah Barnes # you're a naughty girl .
  8. CHIyeah .
    MOT(a)n(d) what else ?
    CHI*CHI: what else ?
    MOTyou don't know ?
    CHI(a)n(d) that's all I know .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown8.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah136.chaSarah 5;0.16926888.64

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. what8 · 100.0%