PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. …ie 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
  2. would that be nice ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 25 · Jeremy 2;06
  3. is that nice ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 39 · Jeremy 2;06
  1. 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 .
  2. 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 .
    FAT*FAT: would that be nice ?
    CHIno .
    FATI thought before, because you and I have got to talk about this bridge you see because this is an important bridge .
  3. FATI 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 .
    FAT*FAT: is that nice ?
    CHIyes .
    FATokay so for the moment you see we're just going to build this bridge .

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_Watkins3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971333.09

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. nice3 · 100.0%