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. what I thought I'd is that because you see you're going to go to bed quite soon . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 16 · Jeremy 2;06
  2. you don't want to go to bed ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 21 · Jeremy 2;06
  3. …, 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 . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 23 · Jeremy 2;06
  4. 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
  1. bilingual_eng_french_Watkins/a02wat01.cha, line 16 · Jeremy, 2;6.27
    CHI<no I xx xx [= want pudding+and+pie]> [<] .
    FATyes yes Jeremy listen listen .
    FAT*FAT: what I thought I'd is that because you see you're going to go to bed quite soon .
    CHIno xx xx [= I want] pudding+and+pie .
    FATlisten listen listen .
  2. bilingual_eng_french_Watkins/a02wat01.cha, line 21 · Jeremy, 2;6.27
    FATlisten listen listen .
    CHII want <pudding+and+pie>[>] .
    FAT*FAT: you don't want to go to bed ?
    CHIno .
    FATlisten, 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 .
  3. 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 .
  4. 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 ?

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. bed4 · 100.0%