PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.76 per 1,000 words of the child (CHI), in 1 of 1 transcripts (307 utterances, 1,215 words searched).

  1. you can't write dis one . CHI · eng_USA_Brown/sarah113.cha, line 74
  2. you can <wri(te)> [/] write fast ? CHI · eng_USA_Brown/sarah113.cha, line 111
  3. you # you can still write on it . CHI · eng_USA_Brown/sarah113.cha, line 626
  4. I know how to write # somethin(g) . CHI · eng_USA_Brown/sarah113.cha, line 897
  5. want me to write car ? CHI · eng_USA_Brown/sarah113.cha, line 1013
  6. now how you write a car ? CHI · eng_USA_Brown/sarah113.cha, line 1116
  7. <I can> [//] sometimes I can write on . CHI · eng_USA_Brown/sarah113.cha, line 1279
  1. eng_USA_Brown/sarah113.cha, line 74
    CHIle(t) me make +...
    CHIoh # I can make sumpin [: something] .
    CHI*CHI: you can't write dis one .
    CHIit runs so fast .
    CHI<an(d)> [/] <an(d)> [/] (a)n(d) it runs like dis .
  2. eng_USA_Brown/sarah113.cha, line 111
    MELhere you go .
    MELsee if you can write as fast as me .
    CHI*CHI: you can <wri(te)> [/] write fast ?
    MELyeah .
    CHImmhm .
  3. eng_USA_Brown/sarah113.cha, line 626
    MELyeah # I did .
    MELthat's too bad .
    CHI*CHI: you # you can still write on it .
    MELyeah .
    CHIyou can (e)rase it off # too .
  4. eng_USA_Brown/sarah113.cha, line 897
    CHI(a)n(d) d@l-s too ?
    MOTno # p@l .
    CHI*CHI: I know how to write # somethin(g) .
    CHII did # p@l .
    MOTa@l .
  5. eng_USA_Brown/sarah113.cha, line 1013
    MELcan you write it ?
    CHIalright .
    CHI*CHI: want me to write car ?
    MELmmhm .
    CHIwant me to have it with some glass over it ?
  6. eng_USA_Brown/sarah113.cha, line 1116
    CHIdoes it have glass over it ?
    MOTxxx .
    CHI*CHI: now how you write a car ?
    MOTc@l a@l r@l # car .
    CHIno # a [/] a # car that moves # like Uncle_Buster's .
  7. eng_USA_Brown/sarah113.cha, line 1279
    CHIyeah .
    CHInow up # now down .
    CHI*CHI: <I can> [//] sometimes I can write on .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown5.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah113.chaSarah 1,215775.76

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. write7 · 100.0%