PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (144 utterances, 971 words searched).

  1. you want some more what ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 75 · Jeremy 2;06
  2. some more bricks ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 77 · Jeremy 2;06
  3. you're making some more steps are you ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 145 · Jeremy 2;06
  4. you want some more steps ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 162 · Jeremy 2;06
  5. ok we'll make some more steps then . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 164 · Jeremy 2;06
  6. I tell you what I can make some more steps with these . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 192 · Jeremy 2;06
  7. now hang on wait a moment you want to get some more +... FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 208 · Jeremy 2;06
  1. CHIit's going to fall afterwards .
    CHII want some more .
    FAT*FAT: you want some more what ?
    CHIbricks .
    FATsome more bricks ?
  2. FATyou want some more what ?
    CHIbricks .
    FAT*FAT: some more bricks ?
    CHIyes .
    FATwell there are plenty of bricks here look .
  3. FATbecause Mummy's very clever at making bridges isn't she ?
    CHII'm making some more steps .
    FAT*FAT: you're making some more steps are you ?
    CHIyes .
    FATjolly good .
  4. FATare they good steps ?
    CHII wanted some more steps .
    FAT*FAT: you want some more steps ?
    CHIyes .
    FATok we'll make some more steps then .
  5. FATyou want some more steps ?
    CHIyes .
    FAT*FAT: ok we'll make some more steps then .
    CHInot you .
    CHInot you .
  6. FATyou haven't finished yet ?
    CHIno .
    FAT*FAT: I tell you what I can make some more steps with these .
    CHIno not in this xx .
    FATno ?
  7. CHII want some xx .
    FATthat's very clever .
    FAT*FAT: now hang on wait a moment you want to get some more +...
    FATanother couple of steps here .
    FATJeremy I've got an idea, I've got an idea .

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. Jeremy bilingual_eng_french_Watkins7.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971777.21

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.

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