PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (290 utterances, 1,133 words searched).

  1. stuck , is he ? MOT · eng_british_Manchester_II/liz12a.cha, line 409 · Liz 2;02
  2. oh this is a good one , isn't it ? MOT · eng_british_Manchester_II/liz12a.cha, line 483 · Liz 2;02
  3. this is about imps . MOT · eng_british_Manchester_II/liz12a.cha, line 730 · Liz 2;02
  4. what page is Tom_Tom on ? MOT · eng_british_Manchester_II/liz12a.cha, line 799 · Liz 2;02
  1. eng_british_Manchester_II/liz12a.cha, line 409 · Liz, 2;2.30
    MOTwww .
    CHIhe's stuck .
    MOT*MOT: stuck , is he ?
    CHIno .
    MOTwhat did you say then ?
  2. eng_british_Manchester_II/liz12a.cha, line 483 · Liz, 2;2.30
    MOToh good .
    MOTwe'll do this one instead .
    MOT*MOT: oh this is a good one , isn't it ?
    MOTwww .
    CHIhe's stuck .
  3. eng_british_Manchester_II/liz12a.cha, line 730 · Liz, 2;2.30
    MOTlet's do this one .
    MOTshall we do this one .
    MOT*MOT: this is about imps .
    CHIno .
    CHIno .
  4. eng_british_Manchester_II/liz12a.cha, line 799 · Liz, 2;2.30
    CHITom_Tom .
    MOTTom_Tom now ?
    MOT*MOT: what page is Tom_Tom on ?
    MOTI've forgotten .
    MOTum let's see .

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_II3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz12a.chaLiz 2;2.301,133443.53

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. is4 · 100.0%