PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (642 utterances, 2,192 words searched).

  1. we'll have to go slowly because we're on the sea+front . INV · eng_british_Manchester_II/joel23b.cha, line 1069 · Joel 2;06
  2. we're here . INV · eng_british_Manchester_II/joel23b.cha, line 1091 · Joel 2;06
  3. else we're gonna [: going to] miss the ice+cream van . MOT · eng_british_Manchester_II/joel23b.cha, line 1099 · Joel 2;06
  4. we're already there , aren't we ? MOT · eng_british_Manchester_II/joel23b.cha, line 1218 · Joel 2;06
  5. looks like we're not gonna [: going to] go on the fair . MOT · eng_british_Manchester_II/joel23b.cha, line 1234 · Joel 2;06
  6. we're at Meg's again . MOT · eng_british_Manchester_II/joel23b.cha, line 1588 · Joel 2;06
  7. we're sitting in the back . MOT · eng_british_Manchester_II/joel23b.cha, line 1935 · Joel 2;06
  1. CHIlet's go buy ice+cream .
    INVlet's go buy some ice+cream .
    INV*INV: we'll have to go slowly because we're on the sea+front .
    CHIoh .
    INVyeah .
  2. MOTit would probably be quicker to walk .
    MOTbecause you willn't be able to find anywhere to park .
    INV*INV: we're here .
    CHIoh yes .
    MOTyeah .
  3. MOTyeah .
    MOTstop now .
    MOT*MOT: else we're gonna [: going to] miss the ice+cream van .
    MOToh .
    MOThere we are .
  4. CHIoh no .
    CHIwe 0are [*] going 0to [*] the seaside .
    MOT*MOT: we're already there , aren't we ?
    CHIno .
    CHI<we 0are [*] not there> [>] .
  5. CHIit's not fair , is it ?
    MOTno .
    MOT*MOT: looks like we're not gonna [: going to] go on the fair .
    MOTthat's not fair .
    CHIxxx .
  6. CHIwe here Meg's .
    MOToh .
    MOT*MOT: we're at Meg's again .
    CHII xxx gonna [: going to] play hair .
    INVpardon ?
  7. CHIare [/] are you sitting in the back ?
    MOTyeah .
    MOT*MOT: we're sitting in the back .
    CHIare you sit in the back ?
    MOTyeah .

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. Joel eng_british_Manchester_II3.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel23b.chaJoel 2;6.192,192773.19

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. we're7 · 100.0%