PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,319 words searched).

  1. you got a teddy+bear ? MOT · eng_USA_Brown/sarah087.cha, line 1315 · Sarah 4;00
  2. when'd you get a teddy+bear ? MOT · eng_USA_Brown/sarah087.cha, line 1319 · Sarah 4;00
  3. what teddy+bear ? MOT · eng_USA_Brown/sarah087.cha, line 1325 · Sarah 4;00
  4. that's not a teddy+bear . MOT · eng_USA_Brown/sarah087.cha, line 1339 · Sarah 4;00
  1. eng_USA_Brown/sarah087.cha, line 1315 · Sarah, 4;0.05
    CHIthis xxx a lot .
    CHII get a teddy+bear .
    MOT*MOT: you got a teddy+bear ?
    CHIyes .
    MOTwhen'd you get a teddy+bear ?
  2. eng_USA_Brown/sarah087.cha, line 1319 · Sarah, 4;0.05
    MOTyou got a teddy+bear ?
    CHIyes .
    MOT*MOT: when'd you get a teddy+bear ?
    CHIyou know .
    MOTno I don't .
  3. eng_USA_Brown/sarah087.cha, line 1325 · Sarah, 4;0.05
    CHIyou know .
    MOTno I don't .
    MOT*MOT: what teddy+bear ?
    CHIthe teddy+bear # no .
    CHII got .
  4. eng_USA_Brown/sarah087.cha, line 1339 · Sarah, 4;0.05
    MOToh .
    MOTwait a minute .
    MOT*MOT: that's not a teddy+bear .
    MOTthat's a little lion .
    MOTwho gave you the lion ?

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_Brown3.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah087.chaSarah 4;0.051,319443.03

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. teddy+bear4 · 100.0%