PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (408 utterances, 1,397 words searched).

  1. this one ? MOT · eng_british_Manchester_I/becky32b.cha, line 323 · Becky 2;11
  2. she wants to wear this ? MOT · eng_british_Manchester_I/becky32b.cha, line 567 · Becky 2;11
  3. with this blouse ? MOT · eng_british_Manchester_I/becky32b.cha, line 571 · Becky 2;11
  4. this top ? MOT · eng_british_Manchester_I/becky32b.cha, line 575 · Becky 2;11
  5. this is called a blouse . MOT · eng_british_Manchester_I/becky32b.cha, line 583 · Becky 2;11
  6. is it this one next ? MOT · eng_british_Manchester_I/becky32b.cha, line 1063 · Becky 2;11
  7. I have to do this house , haven't I ? MOT · eng_british_Manchester_I/becky32b.cha, line 1375 · Becky 2;11
  8. it willn't fit into this . MOT · eng_british_Manchester_I/becky32b.cha, line 1397 · Becky 2;11
  1. MOTlet's have a look .
    MOTwhich one is it ?
    MOT*MOT: this one ?
    CHIthis here .
    INVwww .
  2. MOTwhat [/] what does she want to wear then ?
    CHIum that .
    MOT*MOT: she wants to wear this ?
    MOTwhat ?
    MOTwith this blouse ?
  3. MOTshe wants to wear this ?
    MOTwhat ?
    MOT*MOT: with this blouse ?
    CHIwhat ?
    MOTthis top ?
  4. MOTwith this blouse ?
    CHIwhat ?
    MOT*MOT: this top ?
    CHIyeah .
    CHIwhich blouse .
  5. CHIwhich blouse .
    MOTblouse .
    MOT*MOT: this is called a blouse .
    CHIthis blouse ?
    MOTyeah .
  6. MOToh .
    MOTso it doesn't .
    MOT*MOT: is it this one next ?
    CHIum no no .
    CHIthis one .
  7. MOTI've got work to do .
    CHIwhy ?
    MOT*MOT: I have to do this house , haven't I ?
    CHIMummy .
    CHIit came out .
  8. CHII want it to be there .
    MOTyour tummy , Becky .
    MOT*MOT: it willn't fit into this .
    MOTwill it ?
    CHIit [/] it will .

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. Becky eng_british_Manchester_I5.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,397885.73

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. this8 · 100.0%