PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

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

  1. … you and I have got to talk about this bridge you see because this is an important bridge . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 27 · Jeremy 2;06
  2. I've got an idea Jeremy, we can make some steps like this . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 137 · Jeremy 2;06
  3. Jeremy I've got an idea, I've got an idea . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 210 · Jeremy 2;06
  4. Jeremy I've got an idea, I've got an idea . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 210 · Jeremy 2;06
  5. and Jeremy look what about this for an idea ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 215 · Jeremy 2;06
  1. bilingual_eng_french_Watkins/a02wat01.cha, line 27 · Jeremy, 2;6.27
    FATwould that be nice ?
    CHIno .
    FAT*FAT: I thought before, because you and I have got to talk about this bridge you see because this is an important bridge .
    FATdon't you want to help me build this bridge ?
    CHIno .
  2. bilingual_eng_french_Watkins/a02wat01.cha, line 137 · Jeremy, 2;6.27
    FATfor people ?
    CHIyes .
    FAT*FAT: I've got an idea Jeremy, we can make some steps like this .
    FATlook you see, then we're going to put them up to here .
    CHIxx .
  3. bilingual_eng_french_Watkins/a02wat01.cha, line 210 · Jeremy, 2;6.27
    FATnow hang on wait a moment you want to get some more +...
    FATanother couple of steps here .
    FAT*FAT: Jeremy I've got an idea, I've got an idea .
    FATI've got a brilliant idea .
    CHIno no not breɩkhɩnɩn@u [= don't break it] .
  4. bilingual_eng_french_Watkins/a02wat01.cha, line 215 · Jeremy, 2;6.27
    FATyou want to put that up here like that .
    CHIno no not like that like xx .
    FAT*FAT: and Jeremy look what about this for an idea ?
    FATcan I show you ?
    CHIoh no I've <broken it> [>] .

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_Watkins5.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971455.15

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. an5 · 100.0%