PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. that's how you can tell a tiger (be)cause he's got black lines ? MOT · eng_USA_Brown/sarah109.cha, line 49 · Sarah 4;05
  2. …haven't heard any [//] a word from him either so I don't know how how he's doing . MEL · eng_USA_Brown/sarah109.cha, line 557 · Sarah 4;05
  3. he's xxx . MOT · eng_USA_Brown/sarah109.cha, line 698 · Sarah 4;05
  4. he's frisky yeah # but what's his name ? MOT · eng_USA_Brown/sarah109.cha, line 768 · Sarah 4;05
  5. how_come he's got so many legs ? MOT · eng_USA_Brown/sarah109.cha, line 830 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 49 · Sarah, 4;5.14
    CHIlike that # lines .
    CHIblack lines .
    MOT*MOT: that's how you can tell a tiger (be)cause he's got black lines ?
    CHIyeah .
    MOToh no .
  2. eng_USA_Brown/sarah109.cha, line 557 · Sarah, 4;5.14
    MOTbut I didn't hear from Kent .
    MELdidn't you ?
    MEL*MEL: I haven't heard any [//] a word from him either so I don't know how how he's doing .
    MOTI mean he said he'd send a card around Christmas # y(ou) know .
    CHIhe got a book .
  3. eng_USA_Brown/sarah109.cha, line 698 · Sarah, 4;5.14
    MOTDon wants coffee .
    MOTevery time he has a day off all you're doing is dishes .
    MOT*MOT: he's xxx .
    MOTthe world's worst .
    MELwho came to this rabbit's birthday party ?
  4. eng_USA_Brown/sarah109.cha, line 768 · Sarah, 4;5.14
    MOTwhat's his name ?
    CHIhe's frisky but uh +...
    MOT*MOT: he's frisky yeah # but what's his name ?
    MOTwhat does Uncle_Tony call him ?
    CHIlion ?
  5. eng_USA_Brown/sarah109.cha, line 830 · Sarah, 4;5.14
    MOTno .
    CHIhe has many legs .
    MOT*MOT: how_come he's got so many legs ?
    CHI(be)cause he had a beard .
    MOThe had a what ?

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_Brown3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363553.67

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. he's5 · 100.0%