PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. we'll have a look at pudding and pie in a moment . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 11 · Jeremy 2;06
  2. listen, I thought I'd put pudding and pie on while you had a little read in bed you see, I thought that'd be ni… FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 23 · Jeremy 2;06
  3. I tell you what we can have pudding and pie when you go to bed . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 37 · Jeremy 2;06
  4. you can have a read and listen to pudding and pie at the same time . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 38 · Jeremy 2;06
  1. bilingual_eng_french_Watkins/a02wat01.cha, line 11 · Jeremy, 2;6.27
    FATok come on let's finish this bridge first ok ?
    CHIno I xx [= want] pudding+and+pie .
    FAT*FAT: we'll have a look at pudding and pie in a moment .
    CHIno I xx [= want] pudding+and+pie .
    FATyes but I tell you want <listen listen sh sh> [>] .
  2. bilingual_eng_french_Watkins/a02wat01.cha, line 23 · Jeremy, 2;6.27
    FATyou don't want to go to bed ?
    CHIno .
    FAT*FAT: listen, I thought I'd put pudding and pie on while you had a little read in bed you see, I thought that'd be nice .
    FATwould that be nice ?
    CHIno .
  3. bilingual_eng_french_Watkins/a02wat01.cha, line 37 · Jeremy, 2;6.27
    FATyou see do you want to help me put up this bridge here ?
    CHIxx pudding+and+pie .
    FAT*FAT: I tell you what we can have pudding and pie when you go to bed .
    FATyou can have a read and listen to pudding and pie at the same time .
    FATis that nice ?
  4. bilingual_eng_french_Watkins/a02wat01.cha, line 38 · Jeremy, 2;6.27
    CHIxx pudding+and+pie .
    FATI tell you what we can have pudding and pie when you go to bed .
    FAT*FAT: you can have a read and listen to pudding and pie at the same time .
    FATis that nice ?
    CHIyes .

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_Watkins4.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971444.12

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. pie4 · 100.0%