PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. hello [<] . INV · eng_british_Manchester_II/nic04b.cha, line 351 · Nicole 2;01
  2. oh hello . INV · eng_british_Manchester_II/nic04b.cha, line 377 · Nicole 2;01
  3. hello , Nicole . MOT · eng_british_Manchester_II/nic04b.cha, line 379 · Nicole 2;01
  4. oh hello . MOT · eng_british_Manchester_II/nic04b.cha, line 613 · Nicole 2;01
  5. hello . MOT · eng_british_Manchester_II/nic04b.cha, line 983 · Nicole 2;01
  6. hello . MOT · eng_british_Manchester_II/nic04b.cha, line 985 · Nicole 2;01
  7. hello ? MOT · eng_british_Manchester_II/nic04b.cha, line 989 · Nicole 2;01
  8. hello . MOT · eng_british_Manchester_II/nic04b.cha, line 993 · Nicole 2;01
  9. hello . MOT · eng_british_Manchester_II/nic04b.cha, line 995 · Nicole 2;01
  10. hello . INV · eng_british_Manchester_II/nic04b.cha, line 1354 · Nicole 2;01
  1. CHIbyebye .
    MOT<byebye> [>] .
    INV*INV: hello [<] .
    CHIbyebye .
    MOTbyebye .
  2. MOTwho's there ?
    CHINicole .
    INV*INV: oh hello .
    MOThello , Nicole .
    MOThave you been shopping ?
  3. CHINicole .
    INVoh hello .
    MOT*MOT: hello , Nicole .
    MOThave you been shopping ?
    CHIyeah .
  4. MOTNicole ?
    MOTwhose baby are you ?
    MOT*MOT: oh hello .
    MOThave you woken [= actually said woke] up .
    INVoh .
  5. MOTxxx knock then .
    CHIhello .
    MOT*MOT: hello .
    MOThello .
    MOTis there anybody there ?
  6. CHIhello .
    MOThello .
    MOT*MOT: hello .
    MOTis there anybody there ?
    MOThello ?
  7. MOThello .
    MOTis there anybody there ?
    MOT*MOT: hello ?
    MOTI thought I heard somebody knock .
    MOThello .
  8. MOThello ?
    MOTI thought I heard somebody knock .
    MOT*MOT: hello .
    MOThello .
    MOTpeepbo [: peekaboo] .
  9. MOTI thought I heard somebody knock .
    MOThello .
    MOT*MOT: hello .
    MOTpeepbo [: peekaboo] .
    MOTI can see you .
  10. MOTthat's it .
    CHIhello .
    INV*INV: hello .
    MOTshall we turn it round and build some more up that side now ?
    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_II4.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04b.chaNicole 2;1.222,09710104.77

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. hello10 · 100.0%