PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.53 per 1,000 words of the child (CHI), in 1 of 1 transcripts (294 utterances, 904 words searched).

  1. no, I'm rolling it . CHI · eng_USA_Valian/12b.cha, line 128 · 12B 2;06
  2. yes, I'm making something different . CHI · eng_USA_Valian/12b.cha, line 1743 · 12B 2;06
  3. I'm cutting with a knife . CHI · eng_USA_Valian/12b.cha, line 1842 · 12B 2;06
  4. I'm not sad too [% inv laughs] . CHI · eng_USA_Valian/12b.cha, line 1919 · 12B 2;06
  5. +< I'm gonna make a knife . CHI · eng_USA_Valian/12b.cha, line 2029 · 12B 2;06
  1. eng_USA_Valian/12b.cha, line 128 · 12B, 2;6.25
    MOTwhat is that you're doing ?
    MOTare you rolling it ?
    CHI*CHI: no, I'm rolling it .
    INVoop, o:h, there it goes [% truck falls on floor] .
    CHIoops .
  2. eng_USA_Valian/12b.cha, line 1743 · 12B, 2;6.25
    MOTwhat are you making now ?
    MOTare you making something different ?
    CHI*CHI: yes, I'm making something different .
    MOTwhat are you making now ?
    CHIa candy cane .
  3. eng_USA_Valian/12b.cha, line 1842 · 12B, 2;6.25
    INVwhat ?
    CHIxxx .
    CHI*CHI: I'm cutting with a knife .
    INVmmm .
    CHIyou break this apart .
  4. eng_USA_Valian/12b.cha, line 1919 · 12B, 2;6.25
    CHIno .
    MOTyou're not sad either, are you ?
    CHI*CHI: I'm not sad too [% inv laughs] .
    CHIwill you pet her ?
    INVwhat ?
  5. eng_USA_Valian/12b.cha, line 2029 · 12B, 2;6.25
    INVoh .
    MOTcan you tell her what some of their names are ?
    CHI*CHI: +< I'm gonna make a knife .
    MOTyou're going to make a knife ?
    CHIoops, oops .

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. 12B eng_USA_Valian5.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/12b.cha12B 2;6.25904555.53

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. i'm5 · 100.0%