PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.81 per 1,000 words of the child (CHI), in 1 of 1 transcripts (283 utterances, 1,049 words searched).

  1. so +... CHI · eng_USA_Brown/sarah106.cha, line 1130 · Sarah 4;04
  2. so +... CHI · eng_USA_Brown/sarah106.cha, line 1146 · Sarah 4;04
  3. with your nose so bright . CHI · eng_USA_Brown/sarah106.cha, line 1170 · Sarah 4;04
  4. so # when a a@l was like this # (a)n(d) cross there like that +... CHI · eng_USA_Brown/sarah106.cha, line 1272 · Sarah 4;04
  1. CHIbetter not shout I'm tellin(g) you why .
    CHISanta_Claus is comin(g) to town .
    CHI*CHI: so +...
    CHIy(ou) better not cry .
    CHIy(ou) better not sigh .
  2. CHIy(ou) better not cry I'm tellin(g) you why .
    CHISanta_Claus is comin(g) to town .
    CHI*CHI: so +...
    MOThe's makin(g) a +...
    CHIhe makin(g) a list .
  3. CHIRudolph with your +...
    MOTthat's a different one .
    CHI*CHI: with your nose so bright .
    CHIwon't you guide my sleigh tonight .
    CHIhow the reindeer love him .
  4. CHIp@l is like an r@l .
    CHI(a)n(d) k@l is like a [/] # a a@l .
    CHI*CHI: so # when a a@l was like this # (a)n(d) cross there like that +...
    CHIit will be a a@l .
    MOTthat's almost like a b@l # too # isn't it ?

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_Brown3.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah106.chaSarah 4;4.251,049443.81

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. so4 · 100.0%