PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,049 words searched).

  1. have you had enough ? MOT · eng_british_Manchester_II/liz25b.cha, line 424 · Liz 2;07
  2. I had my hair cut last week yes . MOT · eng_british_Manchester_II/liz25b.cha, line 548 · Liz 2;07
  3. you had yours cut , didn't you ? MOT · eng_british_Manchester_II/liz25b.cha, line 561 · Liz 2;07
  1. eng_british_Manchester_II/liz25b.cha, line 424 · Liz, 2;7.17
    MOTwow .
    CHIcan you eat nana ?
    MOT*MOT: have you had enough ?
    CHIpiece of nana .
    CHIthat's a nana .
  2. eng_british_Manchester_II/liz25b.cha, line 548 · Liz, 2;7.17
    MOTno because her hair's beautiful , isn't it ?
    CHIdoes [//] had your hair cut .
    MOT*MOT: I had my hair cut last week yes .
    CHIAnna had her hair cut ?
    MOTer I don't know .
  3. eng_british_Manchester_II/liz25b.cha, line 561 · Liz, 2;7.17
    MOTa while ago .
    MOTthere you go .
    MOT*MOT: you had yours cut , didn't you ?
    MOTeh ?
    MOTwhat're you doing wriggly ?

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. Liz eng_british_Manchester_II2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz25b.chaLiz 2;7.171,049332.86

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. had3 · 100.0%