PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. well it's not level is it, so we've got to build this side up haven't we ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 50 · Jeremy 2;06
  2. but you've got a nappy on haven't you ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 113 · Jeremy 2;06
  3. haven't you got a nappy on ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 115 · Jeremy 2;06
  4. because you've made a bit of a mess there haven't you ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 123 · Jeremy 2;06
  5. you've got six steps there haven't you ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 183 · Jeremy 2;06
  6. you haven't finished yet ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 190 · Jeremy 2;06
  1. FATnow so we've got to build this up to the same height as that do you see okay ?
    CHIxx xx one xx this .
    FAT*FAT: well it's not level is it, so we've got to build this side up haven't we ?
    CHIyes it's not this side .
    FAT<what do you mean it's not that side of course> [//] what do you mean it's not that side, I don't understand .
  2. FATyou don't want a nappy .
    CHIno .
    FAT*FAT: but you've got a nappy on haven't you ?
    CHIno .
    FAThaven't you got a nappy on ?
  3. FATbut you've got a nappy on haven't you ?
    CHIno .
    FAT*FAT: haven't you got a nappy on ?
    CHIno .
    FATyes you have .
  4. FATshall we put it back together again ?
    CHIyes .
    FAT*FAT: because you've made a bit of a mess there haven't you ?
    CHIxx .
    FATthere we are !
  5. FAThow many have you got ?
    CHII want this .
    FAT*FAT: you've got six steps there haven't you ?
    FATlook one two three four five yes six .
    FATyou put it under here .
  6. FATlook you see Jeremy .
    CHIno no I haven't finished yet .
    FAT*FAT: you haven't finished yet ?
    CHIno .
    FATI tell you what I can make some more steps with these .

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_Watkins6.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971666.18

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. haven't6 · 100.0%