PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (456 utterances, 1,681 words searched).

  1. I don't think green lipstick's very good though . MOT · eng_british_Manchester_I/becky07a.cha, line 654 · Becky 2;02
  2. very hot , is it ? MOT · eng_british_Manchester_I/becky07a.cha, line 707 · Becky 2;02
  3. very hot ? INV · eng_british_Manchester_I/becky07a.cha, line 788 · Becky 2;02
  4. it's very good . MOT · eng_british_Manchester_I/becky07a.cha, line 933 · Becky 2;02
  5. very nice . MOT · eng_british_Manchester_I/becky07a.cha, line 955 · Becky 2;02
  6. very nice . MOT · eng_british_Manchester_I/becky07a.cha, line 1159 · Becky 2;02
  7. pull very hard . MOT · eng_british_Manchester_I/becky07a.cha, line 1309 · Becky 2;02
  8. and pull that one very hard . MOT · eng_british_Manchester_I/becky07a.cha, line 1315 · Becky 2;02
  9. very hard . MOT · eng_british_Manchester_I/becky07a.cha, line 1331 · Becky 2;02
  1. CHIxxx .
    MOTthank you .
    MOT*MOT: I don't think green lipstick's very good though .
    MOTis that nice ?
    CHImmhm .
  2. CHIyeah .
    CHIvery hot .
    MOT*MOT: very hot , is it ?
    CHIyeah .
    MOThave to be careful then .
  3. CHIxxx .
    CHIvery hot .
    INV*INV: very hot ?
    CHIyeah .
    CHIvery hot .
  4. MOTdid you make that ?
    CHIyeah .
    MOT*MOT: it's very good .
    CHII pop in mouth .
    MOTpop it in your mouth ?
  5. MOTwhoops .
    CHIeat .
    MOT*MOT: very nice .
    CHIpop in mouth .
    MOTgo on .
  6. CHIbun+tin .
    CHIxxx .
    MOT*MOT: very nice .
    MOTwhat sort of cake is it ?
    CHIum # cherry .
  7. MOTdo you want me to do it ?
    CHIxxx .
    MOT*MOT: pull very hard .
    MOTthat's it .
    CHIxxx .
  8. MOTthat's it .
    CHIxxx .
    MOT*MOT: and pull that one very hard .
    MOToh .
    MOTis that hard to do ?
  9. CHIyes .
    MOTgo on then .
    MOT*MOT: very hard .
    MOToh .
    MOTthere you go .

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_I5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07a.chaBecky 2;2.151,681995.35

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. very9 · 100.0%