PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. is that right ? MOT · eng_british_Manchester_I/becky32b.cha, line 183 · Becky 2;11
  2. I think that's right . MOT · eng_british_Manchester_I/becky32b.cha, line 507 · Becky 2;11
  3. think you're right , Becky . MOT · eng_british_Manchester_I/becky32b.cha, line 557 · Becky 2;11
  4. that's right . MOT · eng_british_Manchester_I/becky32b.cha, line 636 · Becky 2;11
  5. oh right . MOT · eng_british_Manchester_I/becky32b.cha, line 948 · Becky 2;11
  6. oh right . MOT · eng_british_Manchester_I/becky32b.cha, line 1073 · Becky 2;11
  7. oh right . MOT · eng_british_Manchester_I/becky32b.cha, line 1093 · Becky 2;11
  8. oh right . MOT · eng_british_Manchester_I/becky32b.cha, line 1223 · Becky 2;11
  9. oh right . INV · eng_british_Manchester_I/becky32b.cha, line 1361 · Becky 2;11
  1. CHItwo .
    CHIone xxx .
    MOT*MOT: is that right ?
    CHIthat's [/] that's um gooses [*] .
    MOTpardon ?
  2. CHIwhich way are [*] they go ?
    MOTwell .
    MOT*MOT: I think that's right .
    CHIthat's right .
    MOTthat's it .
  3. MOTlet me see if I can make her stand up .
    MOTno .
    MOT*MOT: think you're right , Becky .
    CHIhere she is .
    MOTthank you .
  4. CHIcastle [//] um a castle .
    MOTa bouncy castle .
    MOT*MOT: that's right .
    MOTand you were on a roundabout , weren't you ?
    CHIand I went on a roundabout .
  5. MOThow many eggs have you got there , Becky ?
    CHIfour .
    MOT*MOT: oh right .
    MOToh .
    MOTwell .
  6. MOToh .
    CHIbecause look .
    MOT*MOT: oh right .
    CHIthen it's that one .
    CHIand that one .
  7. MOTwhere is it ?
    CHIthere .
    MOT*MOT: oh right .
    CHIis it +//.
    MOTwell done .
  8. CHIthat came from there .
    MOTdid it ?
    MOT*MOT: oh right .
    MOTas I said , Becky .
    MOTyou're falling to bits .
  9. CHIa teddy .
    INVa teddy .
    INV*INV: oh right .
    INVoh .
    MOTit's a teddy .

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_I6.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,397996.44

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. right9 · 100.0%