PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 1,299 words searched).

  1. how many have you got now , John ? MOT · eng_british_Manchester_II/john11a.cha, line 277 · John 2;02
  2. how many ? MOT · eng_british_Manchester_II/john11a.cha, line 279 · John 2;02
  3. how many are left ? MOT · eng_british_Manchester_II/john11a.cha, line 354 · John 2;02
  1. eng_british_Manchester_II/john11a.cha, line 277 · John, 2;2.28
    MOTor is that enough ?
    MOTmore ?
    MOT*MOT: how many have you got now , John ?
    MOThow many ?
    MOTlet's make the blue one a bit smaller too .
  2. eng_british_Manchester_II/john11a.cha, line 279 · John, 2;2.28
    MOTmore ?
    MOThow many have you got now , John ?
    MOT*MOT: how many ?
    MOTlet's make the blue one a bit smaller too .
    CHIblue .
  3. eng_british_Manchester_II/john11a.cha, line 354 · John, 2;2.28
    MOTthat one balances .
    MOTuhoh .
    MOT*MOT: how many are left ?
    MOTone .
    MOTtwo .

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. John eng_british_Manchester_II2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john11a.chaJohn 2;2.281,299332.31

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. how3 · 100.0%