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. for people to climb up onto here ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 100 · Jeremy 2;06
  2. is that a step for people to climb up there ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 107 · Jeremy 2;06
  3. for people ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 135 · Jeremy 2;06
  1. bilingual_eng_french_Watkins/a02wat01.cha, line 100 · Jeremy, 2;6.27
    FATsteps where ?
    CHIfor [/] for people .
    FAT*FAT: for people to climb up onto here ?
    CHIyes .
    FATok .
  2. bilingual_eng_french_Watkins/a02wat01.cha, line 107 · Jeremy, 2;6.27
    CHIyes .
    FATisn't Mummy clever ?
    FAT*FAT: is that a step for people to climb up there ?
    CHIyes [//] no not to climb up +...
    CHIhere .
  3. bilingual_eng_french_Watkins/a02wat01.cha, line 135 · Jeremy, 2;6.27
    FATwhat for ?
    CHIfor [/] for people .
    FAT*FAT: for people ?
    CHIyes .
    FATI've got an idea Jeremy, we can make some steps like this .

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. people3 · 100.0%