PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

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

  1. ok come on let's finish this bridge first ok ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 9 · Jeremy 2;06
  2. ok come on let's finish this bridge first ok ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 9 · Jeremy 2;06
  3. ok well you put it further up this way . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 90 · Jeremy 2;06
  4. ok . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 102 · 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. ok . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 172 · Jeremy 2;06
  7. not like that ok . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 221 · Jeremy 2;06
  8. ok . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 224 · Jeremy 2;06
  1. FAT*FAT: ok come on let's finish this bridge first ok ?
    CHIno I xx [= want] pudding+and+pie .
    FATwe'll have a look at pudding and pie in a moment .
  2. FAT<or had we better put it> [//] do you think that's all right or shall I put the platform further up this way ?
    CHIfurther up this way .
    FAT*FAT: ok well you put it further up this way .
    FATtake it off .
    FATgood .
  3. FATfor people to climb up onto here ?
    CHIyes .
    FAT*FAT: ok .
    FATwho gave you that idea ?
    FATdid Mummy make you steps ?
  4. FATyou want some more steps ?
    CHIyes .
    FAT*FAT: ok we'll make some more steps then .
    CHInot you .
    CHInot you .
  5. FATso you're going to make some steps that come down here .
    CHIyes .
    FAT*FAT: ok .
    CHIthis step .
    FAT### 0 [=! coughs] oh dear .
  6. CHIno no not like that .
    FATnot like that .
    FAT*FAT: not like that ok .
    FATyou do it, you show me .
    CHIlike that .
  7. FATyou do it, you show me .
    CHIlike that .
    FAT*FAT: ok .
    CHIoh no it's broken .
    CHIit's broken .

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_Watkins8.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971788.24

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. ok8 · 100.0%