PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

8.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,836 words searched).

  1. one . MOT · eng_british_Manchester_II/nic32a.cha, line 714 · Nicole 2;11
  2. you've made those two one , haven't you ? MOT · eng_british_Manchester_II/nic32a.cha, line 781 · Nicole 2;11
  3. they're one big piece , aren't they ? MOT · eng_british_Manchester_II/nic32a.cha, line 791 · Nicole 2;11
  4. there's one . MOT · eng_british_Manchester_II/nic32a.cha, line 1202 · Nicole 2;11
  5. one . MOT · eng_british_Manchester_II/nic32a.cha, line 1221 · Nicole 2;11
  6. see if another one will do it . MOT · eng_british_Manchester_II/nic32a.cha, line 1234 · Nicole 2;11
  7. we've got one two three four five , look . MOT · eng_british_Manchester_II/nic32a.cha, line 1266 · Nicole 2;11
  8. that one's still heavier than that one . MOT · eng_british_Manchester_II/nic32a.cha, line 1273 · Nicole 2;11
  9. that one's still heavier than that one . MOT · eng_british_Manchester_II/nic32a.cha, line 1273 · Nicole 2;11
  10. if we take the one big ball out . MOT · eng_british_Manchester_II/nic32a.cha, line 1280 · Nicole 2;11
  11. so if we take one out of +... MOT · eng_british_Manchester_II/nic32a.cha, line 1288 · Nicole 2;11
  12. got one ball in there . MOT · eng_british_Manchester_II/nic32a.cha, line 1297 · Nicole 2;11
  13. it's a runny one . MOT · eng_british_Manchester_II/nic32a.cha, line 1314 · Nicole 2;11
  14. that one jumped out , didn't it ? MOT · eng_british_Manchester_II/nic32a.cha, line 1356 · Nicole 2;11
  15. put that one in there then . MOT · eng_british_Manchester_II/nic32a.cha, line 1361 · Nicole 2;11
  1. MOTcan you cut your sausage up ?
    MOT<can you count> [/] can you count the pieces are you're cutting them ?
    MOT*MOT: one .
    CHIone .
    CHItwo .
  2. MOTnow .
    MOTyou [//] with you doing that , look .
    MOT*MOT: you've made those two one , haven't you ?
    MOTbecause you've squashed them down together .
    MOTthey were two pieces .
  3. MOTthey were two pieces .
    MOTnow .
    MOT*MOT: they're one big piece , aren't they ?
    CHIyeah .
    CHIand one two three .
  4. CHIyeah .
    MOTlet's make some little balls and see how many little balls we need to balance it , shall we ?
    MOT*MOT: there's one .
    MOThere's two .
    MOTthere's three .
  5. MOTshall I do it then ?
    MOTright .
    MOT*MOT: one .
    MOTand it's still down that way , isn't it ?
    MOTtwo .
  6. MOTthree .
    MOTstill down .
    MOT*MOT: see if another one will do it .
    MOTdo you think ?
    MOTwhat's the matter ?
  7. MOTcan't get what you want .
    MOTthere .
    MOT*MOT: we've got one two three four five , look .
    MOTand it's still not down .
    MOTis it ?
  8. MOTand it's still not down .
    MOTis it ?
    MOT*MOT: that one's still heavier than that one .
    MOTwe've got two balls in there .
    MOTbut look .
  9. MOTwe've got two balls in there .
    MOTbut look .
    MOT*MOT: if we take the one big ball out .
    MOTthat makes that side heavier , doesn't it ?
    MOTwith the five balls in .
  10. MOTthat makes that side heavier , doesn't it ?
    MOTwith the five balls in .
    MOT*MOT: so if we take one out of +...
    MOTthat's it , look .
    MOTnow .
  11. MOTnow .
    MOTit's balancing , isn't it ?
    MOT*MOT: got one ball in there .
    MOTand four in there .
    MOTbut if I put that in there that makes that the heaviest side , doesn't it ?
  12. MOTyes .
    MOTit's a nose .
    MOT*MOT: it's a runny one .
    MOTdo you want me to wipe it ?
    MOTcome here .
  13. MOToh .
    MOTthat's a bit big .
    MOT*MOT: that one jumped out , didn't it ?
    MOTthere .
    MOTput that one in there then .
  14. MOTthat one jumped out , didn't it ?
    MOTthere .
    MOT*MOT: put that one in there then .
    MOToh .
    MOTthat's the heaviest side now , isn't it ?

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. Nicole eng_british_Manchester_II8.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32a.chaNicole 2;11.181,83614158.17

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. one15 · 100.0%