PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

13.75 per 1,000 words of the child (CHI), in 1 of 1 transcripts (342 utterances, 582 words searched).

  1. <where orange> [>] . CHI · eng_british_Manchester_II/nic19b.cha, line 592 · Nicole 2;07
  2. where orange ? CHI · eng_british_Manchester_II/nic19b.cha, line 598 · Nicole 2;07
  3. where orange ? CHI · eng_british_Manchester_II/nic19b.cha, line 806 · Nicole 2;07
  4. where orange ? CHI · eng_british_Manchester_II/nic19b.cha, line 823 · Nicole 2;07
  5. where +... CHI · eng_british_Manchester_II/nic19b.cha, line 1246 · Nicole 2;07
  6. where 0is [*] train ? CHI · eng_british_Manchester_II/nic19b.cha, line 1348 · Nicole 2;07
  7. where 0are [*] more tissue ? CHI · eng_british_Manchester_II/nic19b.cha, line 1609 · Nicole 2;07
  8. um where going ? CHI · eng_british_Manchester_II/nic19b.cha, line 1755 · Nicole 2;07
  1. MOTI'm not putting them away .
    MOTthink there's something a bit wrong there , don't you ?
    CHI*CHI: <where orange> [>] .
    MOT<they're> [<] oranges .
    MOTnot balls .
  2. MOT<they're> [<] oranges .
    MOTnot balls .
    CHI*CHI: where orange ?
    MOTthey're not meant to be thrown about .
    MOTit's gone somewhere , isn't it ?
  3. CHIroll it .
    CHII roll it .
    CHI*CHI: where orange ?
    INVhave you rolled it ?
    INVthere's one over here that you rolled .
  4. CHIroll .
    CHIroll .
    CHI*CHI: where orange ?
    CHIno there .
    MOTI didn't say it was there .
  5. MOToff he goes .
    MOTgoing through the station .
    CHI*CHI: where +...
    MOTwho's he going to take for a ride this time ?
    CHIthat again .
  6. CHIand take them back .
    CHIyeah .
    CHI*CHI: where 0is [*] train ?
    MOTthe train's over there , look where you left it .
    CHIand Nicole xxx .
  7. CHIsick .
    CHIsick [x 2] .
    CHI*CHI: where 0are [*] more tissue ?
    MOTyou've used them all .
    MOTwe'll get some more out .
  8. MOTgive it to Mummy .
    MOTthat's it .
    CHI*CHI: um where going ?
    MOTwell .
    MOTit goes on the beef+burger , doesn't it ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_II13.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic19b.chaNicole 2;7.065828813.75

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. where8 · 100.0%