PHPCLANCHILDES with regular expressions

18 matches in 18 utterances

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

  1. there you are . MOT · eng_british_Manchester_I/becky32b.cha, line 76 · Becky 2;11
  2. here we are . MOT · eng_british_Manchester_I/becky32b.cha, line 157 · Becky 2;11
  3. count how many gooses there are . MOT · eng_british_Manchester_I/becky32b.cha, line 195 · Becky 2;11
  4. and how many chickens are there ? MOT · eng_british_Manchester_I/becky32b.cha, line 204 · Becky 2;11
  5. and how many dogs are there ? MOT · eng_british_Manchester_I/becky32b.cha, line 208 · Becky 2;11
  6. and how many rabbits are there ? MOT · eng_british_Manchester_I/becky32b.cha, line 222 · Becky 2;11
  7. and how many goats are there ? MOT · eng_british_Manchester_I/becky32b.cha, line 228 · Becky 2;11
  8. show me where the goats are . MOT · eng_british_Manchester_I/becky32b.cha, line 240 · Becky 2;11
  9. are you okay ? MOT · eng_british_Manchester_I/becky32b.cha, line 296 · Becky 2;11
  10. are your eyes a bit sore as well ? MOT · eng_british_Manchester_I/becky32b.cha, line 300 · Becky 2;11
  11. I think these are the only ones , Becky . MOT · eng_british_Manchester_I/becky32b.cha, line 475 · Becky 2;11
  12. there you are . MOT · eng_british_Manchester_I/becky32b.cha, line 960 · Becky 2;11
  13. are you okay now ? MOT · eng_british_Manchester_I/becky32b.cha, line 1167 · Becky 2;11
  14. are you ? MOT · eng_british_Manchester_I/becky32b.cha, line 1171 · Becky 2;11
  15. there you are . MOT · eng_british_Manchester_I/becky32b.cha, line 1443 · Becky 2;11
  16. there you are . MOT · eng_british_Manchester_I/becky32b.cha, line 1459 · Becky 2;11
  17. you are in the wars , aren't you ? MOT · eng_british_Manchester_I/becky32b.cha, line 1512 · Becky 2;11
  18. the others are okay I think . MOT · eng_british_Manchester_I/becky32b.cha, line 1676 · Becky 2;11
  1. CHIhe can stand up .
    MOToh .
    MOT*MOT: there you are .
    MOTwhoops .
    MOTa domino effect I think .
  2. MOToh .
    MOThe's got very think feet , hasn't he ?
    MOT*MOT: here we are .
    CHIxxx .
    CHII think you're a bit heavy .
  3. MOTwell .
    MOTgo on then .
    MOT*MOT: count how many gooses there are .
    MOThow many geese .
    CHIone .
  4. CHIone .
    MOTonly one .
    MOT*MOT: and how many chickens are there ?
    CHIone .
    MOTand how many dogs are there ?
  5. MOTand how many chickens are there ?
    CHIone .
    MOT*MOT: and how many dogs are there ?
    CHIum two three .
    MOTno .
  6. MOTtwo .
    CHIyes .
    MOT*MOT: and how many rabbits are there ?
    CHIum one .
    MOTone .
  7. CHIum one .
    MOTone .
    MOT*MOT: and how many goats are there ?
    CHItwo three .
    MOThow many goats ?
  8. MOTno .
    CHIone +//.
    MOT*MOT: show me where the goats are .
    CHIthere .
    MOTyeah .
  9. CHIwant to blow my nose .
    MOTwhat's that ?
    MOT*MOT: are you okay ?
    CHIyes .
    MOTare your eyes a bit sore as well ?
  10. MOTare you okay ?
    CHIyes .
    MOT*MOT: are your eyes a bit sore as well ?
    CHIyes .
    CHIMum .
  11. INVno .
    INVI haven't .
    MOT*MOT: I think these are the only ones , Becky .
    INVyou'll have to wash those ones .
    CHIwash ?
  12. CHIno .
    CHIwhere is +//.
    MOT*MOT: there you are .
    CHIxxx .
    CHIuhoh .
  13. MOTyes .
    MOTalright .
    MOT*MOT: are you okay now ?
    CHIyeah .
    MOTare you ?
  14. MOTare you okay now ?
    CHIyeah .
    MOT*MOT: are you ?
    CHIjust do +...
    MOTI know .
  15. CHIis that for dolly ?
    MOTit is dolly's , isn't it ?
    MOT*MOT: there you are .
    MOToh .
    CHIyou have to tie it up .
  16. MOTgonna [: going to] be who ?
    MOTLittle_Miss_Muffet ?
    MOT*MOT: there you are .
    MOTthere .
    MOTLittle_Miss_Muffet .
  17. CHIxxx .
    MOTI don't know .
    MOT*MOT: you are in the wars , aren't you ?
    MOTpoor little soldier .
    MOTaren't you ?
  18. CHIhave we got one [/] one +/.
    MOTno .
    MOT*MOT: the others are okay I think .
    CHIyou didn't .
    CHIyou didn't want one .

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_I12.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,397181812.88

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. are18 · 100.0%