PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,307 words searched).

  1. you know what Mommy has ? MOT · eng_USA_Bloom/allison1.cha, line 1349 · Allison 1;04
  2. you know what I think we ought ought to do ? MOT · eng_USA_Bloom/allison1.cha, line 1732 · Allison 1;04
  3. oh, you know what else I have ? MOT · eng_USA_Bloom/allison1.cha, line 1738 · Allison 1;04
  4. you know what else I have ? MOT · eng_USA_Bloom/allison1.cha, line 1742 · Allison 1;04
  1. eng_USA_Bloom/allison1.cha, line 1349 · Allison, 1;4.21
    CHIup .
    CHIup .
    MOT*MOT: you know what Mommy has ?
    MOTI have something you've never seen before .
    MOTwe have some bubbles .
  2. eng_USA_Bloom/allison1.cha, line 1732 · Allison, 1;4.21
    MOT<we're> [/] we're not gonna play with it anymore .
    MOTwe're not gonna play with it anymore .
    MOT*MOT: you know what I think we ought ought to do ?
    CHIno .
    MOToh, you know what else I have ?
  3. eng_USA_Bloom/allison1.cha, line 1738 · Allison, 1;4.21
    MOTyou know what I think we ought ought to do ?
    CHIno .
    MOT*MOT: oh, you know what else I have ?
    CHIxxx .
    MOTyou know what else I have ?
  4. eng_USA_Bloom/allison1.cha, line 1742 · Allison, 1;4.21
    MOToh, you know what else I have ?
    CHIxxx .
    MOT*MOT: you know what else I have ?
    CHIcookie .
    CHIcookie .

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. Allison eng_USA_Bloom3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison1.chaAllison 1;4.211,307443.06

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. know4 · 100.0%