PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (508 utterances, 1,273 words searched).

  1. okay where's your bobo here . FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1381 · Jessica 1;11
  2. she has a bobo ? OBS · bilingual_eng_Genesee/jes13b11f.cha, line 1383 · Jessica 1;11
  3. on your bobo ? FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1397 · Jessica 1;11
  4. put it on your bobo . FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1405 · Jessica 1;11
  1. FATwant some nonguent on your bobos ?
    CHIbobo onguent ?
    FAT*FAT: okay where's your bobo here .
    OBSshe has a bobo ?
    FATyeah .
  2. CHIbobo onguent ?
    FATokay where's your bobo here .
    OBS*OBS: she has a bobo ?
    FATyeah .
    FATshe got scratched +/.
  3. FATno here .
    FATonguent .
    FAT*FAT: on your bobo ?
    FATokay you take it # you put it on .
    FAThere .
  4. FAThere .
    FATthere you go .
    FAT*FAT: put it on your bobo .
    FATthere go here ?
    FATall done [>] ?

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. Jessica bilingual_eng_Genesee3.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/jes13b11f.chaJessica 1;11.051,273443.14

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. bobo4 · 100.0%