PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,217 words searched).

  1. I think he's just had one , hasn't he ? MOT · eng_british_Manchester_I/becky15a.cha, line 123 · Becky 2;05
  2. we bought the other one . MOT · eng_british_Manchester_I/becky15a.cha, line 144 · Becky 2;05
  3. the one you haven't got on today . MOT · eng_british_Manchester_I/becky15a.cha, line 146 · Becky 2;05
  4. that's your old one . MOT · eng_british_Manchester_I/becky15a.cha, line 153 · Becky 2;05
  5. put the green one on . INV · eng_british_Manchester_I/becky15a.cha, line 802 · Becky 2;05
  6. another one ? MOT · eng_british_Manchester_I/becky15a.cha, line 1273 · Becky 2;05
  7. I've got one . MOT · eng_british_Manchester_I/becky15a.cha, line 1275 · Becky 2;05
  8. where's that one gone ? MOT · eng_british_Manchester_I/becky15a.cha, line 1640 · Becky 2;05
  1. MOThe needs a bath ?
    MOTwell .
    MOT*MOT: I think he's just had one , hasn't he ?
    MOTyou've just given him a wash .
    MOThmm ?
  2. MOTwe didn't .
    MOTwe didn't buy that yesterday .
    MOT*MOT: we bought the other one .
    MOTthe one you haven't got on today .
    MOTwe bought that yesterday .
  3. MOTwe didn't buy that yesterday .
    MOTwe bought the other one .
    MOT*MOT: the one you haven't got on today .
    MOTwe bought that yesterday .
    CHIyeah .
  4. MOTwe bought that yesterday .
    CHIyeah .
    MOT*MOT: that's your old one .
    CHIagain .
    MOThmm ?
  5. CHIyeah .
    CHIxxx .
    INV*INV: put the green one on .
    INVthat's it .
    INVxxx .
  6. MOTthere you are .
    CHIhave a ticket .
    MOT*MOT: another one ?
    MOTI've got one .
    MOTthank you .
  7. CHIhave a ticket .
    MOTanother one ?
    MOT*MOT: I've got one .
    MOTthank you .
    MOToh .
  8. MOTwhoops .
    CHIxxx .
    MOT*MOT: where's that one gone ?
    CHIwhere is it ?
    MOToh .

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_I6.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15a.chaBecky 2;5.011,217886.57

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. one8 · 100.0%