PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.20 per 1,000 words of the child (CHI), in 1 of 1 transcripts (594 utterances, 1,818 words searched).

  1. um, where's her eyebrows ? CHI · eng_USA_Valian/15b.cha, line 2837 · 15B 2;05
  2. make her eyebrows . CHI · eng_USA_Valian/15b.cha, line 2841 · 15B 2;05
  3. make her eyebrows +... CHI · eng_USA_Valian/15b.cha, line 2851 · 15B 2;05
  4. do [=? draw] my eyebrows [% MOT and inv laugh] . CHI · eng_USA_Valian/15b.cha, line 2954 · 15B 2;05
  1. eng_USA_Valian/15b.cha, line 2837 · 15B, 2;5.05
    INVI can recognize em .
    MOTok, what kind of hair does she have ?
    CHI*CHI: um, where's her eyebrows ?
    MOToh, eyebrows .
    CHImake her eyebrows .
  2. eng_USA_Valian/15b.cha, line 2841 · 15B, 2;5.05
    CHIum, where's her eyebrows ?
    MOToh, eyebrows .
    CHI*CHI: make her eyebrows .
    MOTeyebrows, there .
    INVok .
  3. eng_USA_Valian/15b.cha, line 2851 · 15B, 2;5.05
    MOTwhat else ?
    CHIum, make them up here .
    CHI*CHI: make her eyebrows +...
    MOTit is eyebrows .
    MOTeyebrows are above your eye, right there .
  4. eng_USA_Valian/15b.cha, line 2954 · 15B, 2;5.05
    CHIdo this part .
    MOTwhat part ?
    CHI*CHI: do [=? draw] my eyebrows [% MOT and inv laugh] .
    MOTdraw your eyebrows .
    MOTthere are your eyebrows .

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. 15B eng_USA_Valian2.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/15b.cha15B 2;5.051,818442.20

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. eyebrows4 · 100.0%