PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.06 per 1,000 words of the child (CHI), in 1 of 1 transcripts (272 utterances, 990 words searched).

  1. we # just made a line # huh ? CHI · eng_USA_Brown/sarah124.cha, line 45 · Sarah 4;09
  2. now we go like this ? CHI · eng_USA_Brown/sarah124.cha, line 197 · Sarah 4;09
  3. we planted a garden . CHI · eng_USA_Brown/sarah124.cha, line 280 · Sarah 4;09
  4. yeah # we ride on them . CHI · eng_USA_Brown/sarah124.cha, line 331 · Sarah 4;09
  5. we mix it with hot (a)n(d) warm . CHI · eng_USA_Brown/sarah124.cha, line 987 · Sarah 4;09
  6. could we plant grass ? CHI · eng_USA_Brown/sarah124.cha, line 1197 · Sarah 4;09
  1. eng_USA_Brown/sarah124.cha, line 45 · Sarah, 4;9.12
    GAIhow did you make it ?
    GAIwhat did we <fir(st)> [//] do first ?
    CHI*CHI: we # just made a line # huh ?
    GAIyeah .
    CHIand +...
  2. eng_USA_Brown/sarah124.cha, line 197 · Sarah, 4;9.12
    MELshe's got a xxx in the grapevine ?
    MOTyeah # she knows everything .
    CHI*CHI: now we go like this ?
    MOTyou better watch what you're doin(g) .
    CHIoh .
  3. eng_USA_Brown/sarah124.cha, line 280 · Sarah, 4;9.12
    MOTisn't that awful ?
    GAIwhat did you do there ?
    CHI*CHI: we planted a garden .
    GAIyou planted a garden ?
    GAIwhat did you plant in it ?
  4. eng_USA_Brown/sarah124.cha, line 331 · Sarah, 4;9.12
    CHIthey don't have a # daddy mother .
    MELdid you like the horses ?
    CHI*CHI: yeah # we ride on them .
    MELyou did ?
    MELhave you ever ridden on a horse before ?
  5. eng_USA_Brown/sarah124.cha, line 987 · Sarah, 4;9.12
    MELgiggle in the bath+tub ?
    MELdo you get clean # too ?
    CHI*CHI: we mix it with hot (a)n(d) warm .
    MOTRichard # he's a little hellion .
    MOT<they're gonna> [//] oh .
  6. eng_USA_Brown/sarah124.cha, line 1197 · Sarah, 4;9.12
    MOTthat would be great fun # huh ?
    CHIyep .
    CHI*CHI: could we plant grass ?
    MOTcan you plant grass ?
    MOTI suppose so # if you wanna plant grass .

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_Brown6.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah124.chaSarah 4;9.12990666.06

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. we6 · 100.0%