PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. you've made those two one , haven't you ? MOT · eng_british_Manchester_II/nic32a.cha, line 781 · Nicole 2;11
  2. they were two pieces . MOT · eng_british_Manchester_II/nic32a.cha, line 787 · Nicole 2;11
  3. it's two pieces now . MOT · eng_british_Manchester_II/nic32a.cha, line 894 · Nicole 2;11
  4. we've got two big balls in there . MOT · eng_british_Manchester_II/nic32a.cha, line 1192 · Nicole 2;11
  5. here's two . MOT · eng_british_Manchester_II/nic32a.cha, line 1204 · Nicole 2;11
  6. two . MOT · eng_british_Manchester_II/nic32a.cha, line 1226 · 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. we've got two balls in there . MOT · eng_british_Manchester_II/nic32a.cha, line 1276 · Nicole 2;11
  9. two four . MOT · eng_british_Manchester_II/nic32a.cha, line 1339 · Nicole 2;11
  1. eng_british_Manchester_II/nic32a.cha, line 781 · Nicole, 2;11.18
    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 .
  2. eng_british_Manchester_II/nic32a.cha, line 787 · Nicole, 2;11.18
    MOTyou've made those two one , haven't you ?
    MOTbecause you've squashed them down together .
    MOT*MOT: they were two pieces .
    MOTnow .
    MOTthey're one big piece , aren't they ?
  3. eng_british_Manchester_II/nic32a.cha, line 894 · Nicole, 2;11.18
    MOTyou've cut it now , look .
    MOTlook .
    MOT*MOT: it's two pieces now .
    CHINicole 0is [*] going put them +...
    MOTmmhm .
  4. eng_british_Manchester_II/nic32a.cha, line 1192 · Nicole, 2;11.18
    MOTanother big ball .
    MOTso , look .
    MOT*MOT: we've got two big balls in there .
    CHIyeah .
    MOTlet's make some little balls and see how many little balls we need to balance it , shall we ?
  5. eng_british_Manchester_II/nic32a.cha, line 1204 · Nicole, 2;11.18
    MOTlet's make some little balls and see how many little balls we need to balance it , shall we ?
    MOTthere's one .
    MOT*MOT: here's two .
    MOTthere's three .
    MOTare you going to put those balls in there for Mummy ?
  6. eng_british_Manchester_II/nic32a.cha, line 1226 · Nicole, 2;11.18
    MOTone .
    MOTand it's still down that way , isn't it ?
    MOT*MOT: two .
    MOTstill down .
    MOTthree .
  7. eng_british_Manchester_II/nic32a.cha, line 1266 · Nicole, 2;11.18
    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. eng_british_Manchester_II/nic32a.cha, line 1276 · Nicole, 2;11.18
    MOTis it ?
    MOTthat one's still heavier than that one .
    MOT*MOT: we've got two balls in there .
    MOTbut look .
    MOTif we take the one big ball out .
  9. eng_british_Manchester_II/nic32a.cha, line 1339 · Nicole, 2;11.18
    MOTyeah ?
    MOTso how many (ha)ve we got in there ?
    MOT*MOT: two four .
    MOTwe've got six now and they balance , don't they , look ?
    CHIyeah .

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_II4.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32a.chaNicole 2;11.181,836994.90

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. two9 · 100.0%