PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,524 words searched).

  1. that's # yes that's right . GLO · eng_USA_Brown/sarah047.cha, line 134 · Sarah 3;02
  2. yes # he does . GLO · eng_USA_Brown/sarah047.cha, line 340 · Sarah 3;02
  3. +" oh yes I'll give you a hug . GLO · eng_USA_Brown/sarah047.cha, line 451 · Sarah 3;02
  4. um # yes . MOT · eng_USA_Brown/sarah047.cha, line 934 · Sarah 3;02
  5. I ripped the paper yes . GLO · eng_USA_Brown/sarah047.cha, line 1214 · Sarah 3;02
  6. yes # she is . GLO · eng_USA_Brown/sarah047.cha, line 1291 · Sarah 3;02
  1. eng_USA_Brown/sarah047.cha, line 134 · Sarah, 3;2.02
    GLOwhat's your Daddy's name ?
    CHIuh # my Daddy name # Donny .
    GLO*GLO: that's # yes that's right .
    GLODonny .
    GLOwhere did you go yesterday ?
  2. eng_USA_Brown/sarah047.cha, line 340 · Sarah, 3;2.02
    CHIyyy .
    CHIhe wan(t) a eat too .
    GLO*GLO: yes # he does .
    GLOpoor Bam_Bam .
    CHIhe walks too .
  3. eng_USA_Brown/sarah047.cha, line 451 · Sarah, 3;2.02
    CHI<he yyy like> [?] .
    GLO+" you gi(ve) me a hug .
    GLO*GLO: +" oh yes I'll give you a hug .
    GLO+" there .
    CHI<gave me kiss> [?] .
  4. eng_USA_Brown/sarah047.cha, line 934 · Sarah, 3;2.02
    MOThello .
    CHIxxx .
    MOT*MOT: um # yes .
    MOTwhat do I have here # Sarah ?
    CHItwo pencils .
  5. eng_USA_Brown/sarah047.cha, line 1214 · Sarah, 3;2.02
    CHIxxx .
    CHIa ripped my paper .
    GLO*GLO: I ripped the paper yes .
    CHIhey # my yyy .
    GLOwhere's your what ?
  6. eng_USA_Brown/sarah047.cha, line 1291 · Sarah, 3;2.02
    CHIshe's a li(tt)le mother [?] .
    GLOshe's a little mother .
    GLO*GLO: yes # she is .
    CHIshe's not little .
    CHIshe's not little .

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_Brown3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,524663.94

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. yes6 · 100.0%