PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (619 utterances, 1,447 words searched).

  1. nice close up shot [=! laughs] . OBS · bilingual_eng_Genesee/jes13b11b.cha, line 337 · Jessica 1;10
  2. Barbie has nice hair ? FAT · bilingual_eng_Genesee/jes13b11b.cha, line 1352 · Jessica 1;10
  3. nice car . FAT · bilingual_eng_Genesee/jes13b11b.cha, line 1435 · Jessica 1;10
  4. nice car [>] . OBS · bilingual_eng_Genesee/jes13b11b.cha, line 1437 · Jessica 1;10
  5. nice hat ? FAT · bilingual_eng_Genesee/jes13b11b.cha, line 1805 · Jessica 1;10
  1. FATJess .
    FATyouhou [=! laughs] .
    OBS*OBS: nice close up shot [=! laughs] .
    FATya !
    CHIno .
  2. FATcome on .
    FATxxx ?
    FAT*FAT: Barbie has nice hair ?
    FAT0.
    MOToù les cheveux a Barbie .
  3. FATRichard xxx [>] .
    OBSooooh [<] !
    FAT*FAT: nice car .
    OBSnice car [>] .
    CHIRichard [<] .
  4. OBSooooh [<] !
    FATnice car .
    OBS*OBS: nice car [>] .
    CHIRichard [<] .
    MOTRichard ?
  5. FAThat .
    OBSit's big for you .
    FAT*FAT: nice hat ?
    CHI0.
    FAT0.

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_Genesee3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/jes13b11b.chaJessica 1;10.201,447553.46

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. nice5 · 100.0%