PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (552 utterances, 2,243 words searched).

  1. thank you very much , Becky . INV · eng_british_Manchester_I/becky04a.cha, line 99 · Becky 2;01
  2. thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 109 · Becky 2;01
  3. I've had some thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 151 · Becky 2;01
  4. no thank you . INV · eng_british_Manchester_I/becky04a.cha, line 173 · Becky 2;01
  5. thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 286 · Becky 2;01
  6. oh thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 294 · Becky 2;01
  7. oh thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 391 · Becky 2;01
  8. thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 395 · Becky 2;01
  9. thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 407 · Becky 2;01
  10. thank you . MOT · eng_british_Manchester_I/becky04a.cha, line 475 · Becky 2;01
  1. INVyes please .
    CHIxxx here xxx .
    INV*INV: thank you very much , Becky .
    MOTcan I have some please ?
    MOTpour me some out .
  2. MOTpour me some out please .
    MOTcan I have the saucer as well ?
    MOT*MOT: thank you .
    CHIxxx .
    MOTspoon .
  3. MOTno .
    MOTI've had some .
    MOT*MOT: I've had some thank you .
    MOTthere's more ?
    CHIyeah .
  4. INVthanks Becky .
    CHImore ?
    INV*INV: no thank you .
    INVnot for me .
    CHISukie_cat .
  5. CHIum tomato .
    MOTtomato .
    MOT*MOT: thank you .
    CHImore tomato .
    MOTsome more tomato ?
  6. MOTsome more tomato ?
    CHIyeah .
    MOT*MOT: oh thank you .
    MOTit's in here , is it ?
    CHIyeah .
  7. INVvery good .
    INVwell done .
    MOT*MOT: oh thank you .
    MOTvery nice .
    MOTthank you .
  8. MOToh thank you .
    MOTvery nice .
    MOT*MOT: thank you .
    CHIcup .
    MOTcup .
  9. MOTa cup .
    MOTput it on there .
    MOT*MOT: thank you .
    CHIxxx choo^choo@o .
    MOTwe better have this out if you want the train .
  10. CHImmhm .
    MOTgive me the key .
    MOT*MOT: thank you .
    MOTwhoops .
    MOTare you ready ?

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_I4.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky04a.chaBecky 2;1.112,24310104.46

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. thank10 · 100.0%