PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (625 utterances, 2,154 words searched).

  1. you want to play with these letters ? MOT · eng_USA_Valian/03a.cha, line 1466 · 03A 2;01
  2. what color are those letters over there ? MOT · eng_USA_Valian/03a.cha, line 1578 · 03A 2;01
  3. look at those pretty letters . INV · eng_USA_Valian/03a.cha, line 1581 · 03A 2;01
  4. come over here and finish your letters . MOT · eng_USA_Valian/03a.cha, line 1804 · 03A 2;01
  5. what about your letters ? MOT · eng_USA_Valian/03a.cha, line 1867 · 03A 2;01
  1. eng_USA_Valian/03a.cha, line 1466 · 03A, 2;1.23
    CHIxxx .
    MOTyou wanna play with this ?
    MOT*MOT: you want to play with these letters ?
    MOThuh ?
    IN2xxx .
  2. eng_USA_Valian/03a.cha, line 1578 · 03A, 2;1.23
    MOTwhat does the duck say ?
    CHIquack .
    MOT*MOT: what color are those letters over there ?
    INVlook at those pretty letters .
    MOTyeah .
  3. eng_USA_Valian/03a.cha, line 1581 · 03A, 2;1.23
    CHIquack .
    MOTwhat color are those letters over there ?
    INV*INV: look at those pretty letters .
    MOTyeah .
    MOTlook at all the colors .
  4. eng_USA_Valian/03a.cha, line 1804 · 03A, 2;1.23
    INVwhere you going ?
    INVwe wanna hear the rest .
    MOT*MOT: come over here and finish your letters .
    MOTxxx [% not addressing CHI] .
    CHIxxx .
  5. eng_USA_Valian/03a.cha, line 1867 · 03A, 2;1.23
    INV0 [=! laughs] .
    INVthank you, honey .
    MOT*MOT: what about your letters ?
    MOTyou have to put them back .
    MOTok ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but 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. 03A eng_USA_Valian2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/03a.cha03A 2;1.232,154552.32

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. letters5 · 100.0%