PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (585 utterances, 1,113 words searched).

  1. in dere . CHI · eng_USA_Brown/sarah030.cha, line 972 · Sarah 2;09
  2. dere . CHI · eng_USA_Brown/sarah030.cha, line 1004 · Sarah 2;09
  3. no # you # sit dere . CHI · eng_USA_Brown/sarah030.cha, line 1377 · Sarah 2;09
  4. dere . CHI · eng_USA_Brown/sarah030.cha, line 2752 · Sarah 2;09
  5. dere . CHI · eng_USA_Brown/sarah030.cha, line 2843 · Sarah 2;09
  6. oh # xxx dere . CHI · eng_USA_Brown/sarah030.cha, line 2952 · Sarah 2;09
  7. what's dere . CHI · eng_USA_Brown/sarah030.cha, line 2954 · Sarah 2;09
  1. eng_USA_Brown/sarah030.cha, line 972 · Sarah, 2;9.20
    MOTdon't push any buttons .
    MOThey # <why are we> [/] why are we # uh # taping your voice ?
    CHI*CHI: in dere .
    MOTwhy ?
    MOTare we taping your voice for Courtney ?
  2. eng_USA_Brown/sarah030.cha, line 1004 · Sarah, 2;9.20
    CHIyyy you # to you .
    MOTwhat ?
    CHI*CHI: dere .
    MOTyes # would you like to have one of those ?
    CHII want have dose .
  3. eng_USA_Brown/sarah030.cha, line 1377 · Sarah, 2;9.20
    MOTI xxx gonna sit on it .
    MOTyou told me to sit on it . [+ bch]
    CHI*CHI: no # you # sit dere .
    MOToh # you're gonna give me a ride .
    MOTlet's go .
  4. eng_USA_Brown/sarah030.cha, line 2752 · Sarah, 2;9.20
    CHIbu(nn)y .
    MOTa what ?
    CHI*CHI: dere .
    MOTa bunny ?
    MOTno .
  5. eng_USA_Brown/sarah030.cha, line 2843 · Sarah, 2;9.20
    CHIno # op(en) a door .
    CHIclose a door .
    CHI*CHI: dere .
    CHIclose dat .
    CHIclose dat .
  6. eng_USA_Brown/sarah030.cha, line 2952 · Sarah, 2;9.20
    FATis that what you say ?
    CHII wan(t) see window .
    CHI*CHI: oh # xxx dere .
    CHIwhat's dere .
    FATwhat is it ?
  7. eng_USA_Brown/sarah030.cha, line 2954 · Sarah, 2;9.20
    CHII wan(t) see window .
    CHIoh # xxx dere .
    CHI*CHI: what's dere .
    FATwhat is it ?
    FATthat's my lighter .

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_Brown6.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah030.chaSarah 2;9.201,113776.29

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. dere7 · 100.0%