PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,375 words searched).

  1. where'd ya ever come up with that name ? MOT · eng_USA_Brown/sarah051.cha, line 649 · Sarah 3;03
  2. where do they go ? MOT · eng_USA_Brown/sarah051.cha, line 686 · Sarah 3;03
  3. oh # I know where it is . MOT · eng_USA_Brown/sarah051.cha, line 713 · Sarah 3;03
  4. I know where it is . MOT · eng_USA_Brown/sarah051.cha, line 717 · Sarah 3;03
  5. over there where the clothes are hangin(g) out . MOT · eng_USA_Brown/sarah051.cha, line 921 · Sarah 3;03
  6. where did you learn to do that ? KEN · eng_USA_Brown/sarah051.cha, line 1145 · Sarah 3;03
  1. eng_USA_Brown/sarah051.cha, line 649 · Sarah, 3;3.07
    MOTYuna ?
    CHIYuna .
    MOT*MOT: where'd ya ever come up with that name ?
    KENis she a rabbit ?
    KENtell me about her .
  2. eng_USA_Brown/sarah051.cha, line 686 · Sarah, 3;3.07
    CHIhmm .
    KENtell me about Yuna and Bugs .
    MOT*MOT: where do they go ?
    MOTthey go dancin(g) ?
    MOTwell +...
  3. eng_USA_Brown/sarah051.cha, line 713 · Sarah, 3;3.07
    CHI0 .
    MOT<can ya> [//] I don't know if ya can get it .
    MOT*MOT: oh # I know where it is .
    CHIwhat ?
    MOTI know where it is .
  4. eng_USA_Brown/sarah051.cha, line 717 · Sarah, 3;3.07
    MOToh # I know where it is .
    CHIwhat ?
    MOT*MOT: I know where it is .
    CHIyeah .
    CHIyou find it ?
  5. eng_USA_Brown/sarah051.cha, line 921 · Sarah, 3;3.07
    CHIlet's see .
    CHII can('t) see (h)im .
    MOT*MOT: over there where the clothes are hangin(g) out .
    CHIxxx there .
    MOTum .
  6. eng_USA_Brown/sarah051.cha, line 1145 · Sarah, 3;3.07
    CHIyyy .
    MOTya have ta think about it though .
    KEN*KEN: where did you learn to do that ?
    CHIuh # well my # monkey # do that .
    MOToh # monkeys do that ?

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. Sarah eng_USA_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah051.chaSarah 3;3.071,375664.36

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. where6 · 100.0%