PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. <&h> [//] did <my breath> [/] my breath went in there ? CHI · eng_USA_Brown/sarah114.cha, line 30 · Sarah 4;06
  2. xxx # did you say xxx ? CHI · eng_USA_Brown/sarah114.cha, line 309 · Sarah 4;06
  3. you did it good ! CHI · eng_USA_Brown/sarah114.cha, line 549 · Sarah 4;06
  4. no # but # but most of them did # but I didn't . CHI · eng_USA_Brown/sarah114.cha, line 670 · Sarah 4;06
  5. did I ? CHI · eng_USA_Brown/sarah114.cha, line 1136 · Sarah 4;06
  6. did he ? CHI · eng_USA_Brown/sarah114.cha, line 1161 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 30 · Sarah, 4;6.17
    MELnot +...
    MELyou can talk right here and it goes right in .
    CHI*CHI: <&h> [//] did <my breath> [/] my breath went in there ?
    MELmmhm .
    CHIhallelujah !
  2. eng_USA_Brown/sarah114.cha, line 309 · Sarah, 4;6.17
    MOTwell it doesn't spell dog if you're gonna write o@l d@l g@l .
    MOTit's gonna be d@l o@l g@l .
    CHI*CHI: xxx # did you say xxx ?
    MOTd@l .
    MOTSarah # now make your xxx .
  3. 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 ?
  4. eng_USA_Brown/sarah114.cha, line 670 · Sarah, 4;6.17
    CHIxxx .
    MELdid you take her a birthday present ?
    CHI*CHI: no # but # but most of them did # but I didn't .
    CHIya know why ?
    MELwhy ?
  5. eng_USA_Brown/sarah114.cha, line 1136 · Sarah, 4;6.17
    CHIoh # how_come ?
    MOT(be)cause I think you wore it out .
    CHI*CHI: did I ?
    MOTI think so .
    CHIhow_come ?
  6. eng_USA_Brown/sarah114.cha, line 1161 · Sarah, 4;6.17
    CHIhuh ?
    GAImaybe Bozo wore out the tv .
    CHI*CHI: did he ?
    MOTwell # between Captain_Kangaroo # (a)n(d) Romper_Room (a)n(d) Bozo (a)n(d) Saturday cartoons xxx .
    MOT(a)n(d) Gilligan's_Island # and uh xxx the Flintstones and +...

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_Brown7.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.17775667.74

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. did6 · 100.0%