PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (564 utterances, 2,097 words searched).

  1. shall Mummy do it ? MOT · eng_british_Manchester_II/nic04b.cha, line 558 · Nicole 2;01
  2. shall we go again [>] ? MOT · eng_british_Manchester_II/nic04b.cha, line 847 · Nicole 2;01
  3. shall Mummy put it on ? MOT · eng_british_Manchester_II/nic04b.cha, line 1290 · Nicole 2;01
  4. shall Mummy +//. MOT · eng_british_Manchester_II/nic04b.cha, line 1346 · Nicole 2;01
  5. shall we turn it round and build some more up that side now ? MOT · eng_british_Manchester_II/nic04b.cha, line 1356 · Nicole 2;01
  6. where shall we put him ? MOT · eng_british_Manchester_II/nic04b.cha, line 1441 · Nicole 2;01
  7. shall we sit his baby on his back like that ? MOT · eng_british_Manchester_II/nic04b.cha, line 1526 · Nicole 2;01
  8. shall we stand him here , look . MOT · eng_british_Manchester_II/nic04b.cha, line 1757 · Nicole 2;01
  1. MOTare we going to cover you both up ?
    CHImmhm .
    MOT*MOT: shall Mummy do it ?
    CHImmhm .
    MOTboth covered up .
  2. CHIagain .
    CHIyeah .
    MOT*MOT: shall we go again [>] ?
    INVpardon [<] ?
    CHIxxx .
  3. CHI&a there .
    CHIoh .
    MOT*MOT: shall Mummy put it on ?
    MOTlet Mummy put it on .
    CHIthere .
  4. CHIthere .
    MOTon top .
    MOT*MOT: shall Mummy +//.
    MOToh that's it .
    MOTthat's it .
  5. CHIhello .
    INVhello .
    MOT*MOT: shall we turn it round and build some more up that side now ?
    CHIyeah .
    INVlooking quite impressive .
  6. MOTcan you do the hippo ?
    CHIyeah .
    MOT*MOT: where shall we put him ?
    INVin the field at the bottom perhaps .
    MOTmmhm .
  7. MOTare you going to put the baby on his back ?
    CHIoh .
    MOT*MOT: shall we sit his baby on his back like that ?
    MOToh .
    MOTgoing for a ride on Mummy's back , look .
  8. MOT<I thought he> [<] looked quite nice stood there .
    MOTon that +//.
    MOT*MOT: shall we stand him here , look .
    MOTlike that .
    MOTxxx .

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_II3.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04b.chaNicole 2;1.222,097883.81

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. shall8 · 100.0%