PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (224 utterances, 836 words searched).

  1. that was great . MOT · eng_british_Manchester_II/liz32b.cha, line 118 · Liz 2;09
  2. I got one for me as well while I was there . MOT · eng_british_Manchester_II/liz32b.cha, line 170 · Liz 2;09
  3. it was the metal one that might hurt . MOT · eng_british_Manchester_II/liz32b.cha, line 232 · Liz 2;09
  1. eng_british_Manchester_II/liz32b.cha, line 118 · Liz, 2;9.25
    CHIyou can eat them .
    MOTyeah thanks .
    MOT*MOT: that was great .
    MOTa hotdog and chips .
    CHIa stone .
  2. eng_british_Manchester_II/liz32b.cha, line 170 · Liz, 2;9.25
    CHIis that one ripe ?
    MOTyes .
    MOT*MOT: I got one for me as well while I was there .
    MOToh: excuse me .
    MOToh I've not long cleaned my teeth .
  3. eng_british_Manchester_II/liz32b.cha, line 232 · Liz, 2;9.25
    MOTno .
    MOTyou'll be all right with that one .
    MOT*MOT: it was the metal one that might hurt .
    MOTbut it's broken [= actually said broke] now , isn't it ?
    CHIno .

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_II3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32b.chaLiz 2;9.25836333.59

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. was3 · 100.0%