PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.49 per 1,000 words of the child (CHI), in 1 of 1 transcripts (292 utterances, 860 words searched).

  1. [- to inv] do you have company ? CHI · eng_USA_Valian/17a.cha, line 314 · 17A 2;05
  2. we have company . CHI · eng_USA_Valian/17a.cha, line 692 · 17A 2;05
  3. yeah, I have a brother named Josh . CHI · eng_USA_Valian/17a.cha, line 1387 · 17A 2;05
  1. eng_USA_Valian/17a.cha, line 314 · 17A, 2;5.14
    CHIwe got company .
    MOTwe do have company .
    CHI*CHI: [- to inv] do you have company ?
    INVdo I have company ?
    CHIyeah .
  2. eng_USA_Valian/17a.cha, line 692 · 17A, 2;5.14
    CHIwanna [=? Can I] watch Mary Poppins .
    MOTwe don't wanna watch Mary Poppins now .
    CHI*CHI: we have company .
    MOTwe can't watch tv when we have company, right ?
    MOTtoo bad, cause we could show her your step in time hat .
  3. eng_USA_Valian/17a.cha, line 1387 · 17A, 2;5.14
    CHIxxx .
    INV+< you have a brother ?
    CHI*CHI: yeah, I have a brother named Josh .
    MOTwhat's his name ?
    CHII gonna go show my radio [% asking if he can show inv his radio] ?

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. 17A eng_USA_Valian3.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17a.cha17A 2;5.14860333.49

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. have3 · 100.0%