PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 2,546 words searched).

  1. you can sit down . ROG · eng_USA_Brown/sarah139.cha, line 101 · Sarah 5;01
  2. Mr Alligator # will you ask the old lady where she'll sit down ? URS · eng_USA_Brown/sarah139.cha, line 111 · Sarah 5;01
  3. where will you sit down ? ROG · eng_USA_Brown/sarah139.cha, line 118 · Sarah 5;01
  4. I fell down on the street because +... MOT · eng_USA_Brown/sarah139.cha, line 579 · Sarah 5;01
  5. when I run # I fall down too . ROG · eng_USA_Brown/sarah139.cha, line 598 · Sarah 5;01
  6. they should go down . ROG · eng_USA_Brown/sarah139.cha, line 706 · Sarah 5;01
  1. eng_USA_Brown/sarah139.cha, line 101 · Sarah, 5;1.06
    CHIyeah .
    ROGalright .
    ROG*ROG: you can sit down .
    ROGUrsula # you be the old lady .
    ROGalright .
  2. eng_USA_Brown/sarah139.cha, line 111 · Sarah, 5;1.06
    ROGMr Alligator .
    ROGyes # maam .
    URS*URS: Mr Alligator # will you ask the old lady where she'll sit down ?
    ROGOld_Lady .
    URSyes .
  3. eng_USA_Brown/sarah139.cha, line 118 · Sarah, 5;1.06
    ROGOld_Lady .
    URSyes .
    ROG*ROG: where will you sit down ?
    URSI'm going to sit right here on the table .
    ROGnow what do we do ?
  4. eng_USA_Brown/sarah139.cha, line 579 · Sarah, 5;1.06
    CHIyeah .
    ROGalright .
    MOT*MOT: I fell down on the street because +...
    CHIwhy ?
    ROGyou tell me .
  5. eng_USA_Brown/sarah139.cha, line 598 · Sarah, 5;1.06
    ROGyes # I was .
    CHIwell # then [/] # then I run # I fall down too .
    ROG*ROG: when I run # I fall down too .
    ROGdog # you're pretty good at that # aren't you ?
    ROGhow about this one ?
  6. eng_USA_Brown/sarah139.cha, line 706 · Sarah, 5;1.06
    ROGthose are funny teeth # aren't they ?
    ROGthey don't go right .
    ROG*ROG: they should go down .
    CHIdo they supposed to go down ?
    ROGthey should # shouldn't they # because how is he goin(g) (t)a bite ?

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_Brown2.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah139.chaSarah 5;1.062,546662.36

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. down6 · 100.0%