PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,847 words searched).

  1. what's this for , Anne ? MOT · eng_british_Manchester_I/anne15a.cha, line 335 · Anne 2;03
  2. Anne . MOT · eng_british_Manchester_I/anne15a.cha, line 337 · Anne 2;03
  3. Anne . MOT · eng_british_Manchester_I/anne15a.cha, line 341 · Anne 2;03
  4. it's bit tricky this puzzle for you , Anne . MOT · eng_british_Manchester_I/anne15a.cha, line 743 · Anne 2;03
  5. Anne . MOT · eng_british_Manchester_I/anne15a.cha, line 788 · Anne 2;03
  6. we haven't got any plates , Anne . MOT · eng_british_Manchester_I/anne15a.cha, line 1260 · Anne 2;03
  7. just like Anne ? MOT · eng_british_Manchester_I/anne15a.cha, line 1741 · Anne 2;03
  1. MOTin the box .
    MOToh .
    MOT*MOT: what's this for , Anne ?
    MOTAnne .
    MOTdo you need to go to the toilet ?
  2. MOToh .
    MOTwhat's this for , Anne ?
    MOT*MOT: Anne .
    MOTdo you need to go to the toilet ?
    MOTAnne .
  3. MOTAnne .
    MOTdo you need to go to the toilet ?
    MOT*MOT: Anne .
    MOTno ?
    MOTokay .
  4. CHIdo that puzzle .
    MOTyou want to do this puzzle .
    MOT*MOT: it's bit tricky this puzzle for you , Anne .
    CHIno .
    MOTit is .
  5. MOToh .
    MOToh .
    MOT*MOT: Anne .
    MOTlook .
    MOTthat mouse is peeping out of the pot .
  6. MOTyes please .
    MOToh .
    MOT*MOT: we haven't got any plates , Anne .
    MOTdo we need plates to put our dinner on ?
    CHIno .
  7. CHItwo .
    MOToh right .
    MOT*MOT: just like Anne ?
    INVoh .
    MOTcrash .

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. Anne eng_british_Manchester_I3.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne15a.chaAnne 2;3.011,847773.79

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. anne7 · 100.0%