PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

9.03 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 775 words searched).

  1. good . CHI · eng_USA_Brown/sarah114.cha, line 10 · Sarah 4;06
  2. dat ain't a good one . CHI · eng_USA_Brown/sarah114.cha, line 245 · Sarah 4;06
  3. that's good . CHI · eng_USA_Brown/sarah114.cha, line 283 · Sarah 4;06
  4. that's good . CHI · eng_USA_Brown/sarah114.cha, line 285 · Sarah 4;06
  5. can you make a good teapot ? CHI · eng_USA_Brown/sarah114.cha, line 536 · Sarah 4;06
  6. you did it good ! CHI · eng_USA_Brown/sarah114.cha, line 549 · Sarah 4;06
  7. oh good . CHI · eng_USA_Brown/sarah114.cha, line 986 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 10 · Sarah, 4;6.17
    CHI*CHI: good .
    MELright .
    CHIwho talk through there ?
  2. eng_USA_Brown/sarah114.cha, line 245 · Sarah, 4;6.17
    CHIoh .
    CHII c(a)n (e)rase .
    CHI*CHI: dat ain't a good one .
    MOTyou don't think so ?
    CHIhey # dat one a xxx !
  3. eng_USA_Brown/sarah114.cha, line 283 · Sarah, 4;6.17
    CHIhey # what I sayin(g) you # but I was doin(g) it !
    MOTI think you'd better forget that one .
    CHI*CHI: that's good .
    CHIthat's good .
    CHIthat's out .
  4. eng_USA_Brown/sarah114.cha, line 285 · Sarah, 4;6.17
    MOTI think you'd better forget that one .
    CHIthat's good .
    CHI*CHI: that's good .
    CHIthat's out .
    MOTput the xxx before the xxx # ya know .
  5. eng_USA_Brown/sarah114.cha, line 536 · Sarah, 4;6.17
    CHImmhm # I didn('t) make dat .
    CHIdere .
    CHI*CHI: can you make a good teapot ?
    CHIhow ?
    MELa good one ?
  6. eng_USA_Brown/sarah114.cha, line 549 · Sarah, 4;6.17
    CHIyeah .
    MELwell # let's see .
    CHI*CHI: you did it good !
    MELthank+you .
    CHIthat's how you make it ?
  7. eng_USA_Brown/sarah114.cha, line 986 · Sarah, 4;6.17
    CHIhow_come you # like me hear to talk ?
    MELoh # (be)cause you talk so nice .
    CHI*CHI: oh good .
    CHIwell # what's your name ?
    MELtape recorder .

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_Brown9.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.17775779.03

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. good7 · 100.0%