PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,796 words searched).

  1. tell Gail about your friend from Panama . FAT · eng_USA_Brown/sarah132.cha, line 316 · Sarah 4;11
  2. tell them about the movie . MOT · eng_USA_Brown/sarah132.cha, line 495 · Sarah 4;11
  3. tell em about Kathy . MOT · eng_USA_Brown/sarah132.cha, line 672 · Sarah 4;11
  4. I meant to tell ya . MOT · eng_USA_Brown/sarah132.cha, line 1328 · Sarah 4;11
  5. you better not tell us those secrets . MOT · eng_USA_Brown/sarah132.cha, line 1456 · Sarah 4;11
  6. she'll tell you anything . MOT · eng_USA_Brown/sarah132.cha, line 1460 · Sarah 4;11
  1. eng_USA_Brown/sarah132.cha, line 316 · Sarah, 4;11.19
    GAIwhat's been happening down at the beach ?
    CHInothin(g) .
    FAT*FAT: tell Gail about your friend from Panama .
    CHIJudy ?
    FATmmhm .
  2. eng_USA_Brown/sarah132.cha, line 495 · Sarah, 4;11.19
    MOTyou went to the movies the other night .
    CHIyeah .
    MOT*MOT: tell them about the movie .
    CHIwell # a monster back home .
    CHIum # that's his eye .
  3. eng_USA_Brown/sarah132.cha, line 672 · Sarah, 4;11.19
    MOTwho's our friend ?
    MOTKathy ?
    MOT*MOT: tell em about Kathy .
    CHIshe [/] # she's cute .
    MOTyeah .
  4. eng_USA_Brown/sarah132.cha, line 1328 · Sarah, 4;11.19
    FATwhat do you call the donkey game ?
    MOTthat reminds me .
    MOT*MOT: I meant to tell ya .
    MOTI got a +...
    MOTI have one of those down the beach .
  5. eng_USA_Brown/sarah132.cha, line 1456 · Sarah, 4;11.19
    CHII don't got no underpants on either .
    CHIand no shoes and socks .
    MOT*MOT: you better not tell us those secrets .
    CHIwhy ?
    MOTshe'll tell you anything .
  6. eng_USA_Brown/sarah132.cha, line 1460 · Sarah, 4;11.19
    MOTyou better not tell us those secrets .
    CHIwhy ?
    MOT*MOT: she'll tell you anything .
    CHIlike this ?
    FATyour head's gettin(g) flat .

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_Brown3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah132.chaSarah 4;11.191,796663.34

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. tell6 · 100.0%