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. you got umpty_dumps@n of paper . MOT · eng_USA_Brown/sarah109.cha, line 362 · Sarah 4;05
  3. I got a card from Courtney . MOT · eng_USA_Brown/sarah109.cha, line 547 · Sarah 4;05
  4. how_come he's got so many legs ? MOT · eng_USA_Brown/sarah109.cha, line 830 · Sarah 4;05
  5. that one's got a bandaid on it . MEL · eng_USA_Brown/sarah109.cha, line 1301 · 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 362 · Sarah, 4;5.14
    CHIlet me see .
    MOTwhyn't [: why don't] ya get your paper ?
    MOT*MOT: you got umpty_dumps@n of paper .
    CHIhey .
    CHIthat's a different one .
  3. eng_USA_Brown/sarah109.cha, line 547 · Sarah, 4;5.14
    CHIum # handkerchiefs clothes .
    CHInow dis is a toy .
    MOT*MOT: I got a card from Courtney .
    GAIah .
    CHI<he's a> [//] open it .
  4. 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 ?
  5. eng_USA_Brown/sarah109.cha, line 1301 · Sarah, 4;5.14
    MELdoes it make you sneeze ?
    CHIno [//] sometimes .
    MEL*MEL: that one's got a bandaid on it .
    MELwe'll leave that one .
    CHIwell # you can do the other side of it .

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. got5 · 100.0%