PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

13.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (41 utterances, 144 words searched).

  1. say hello Nana . FAT · bilingual_eng_french_Watkins/c1zan12.cha, line 57 · Christophe 4;04
  2. hello Nana . CH5 · bilingual_eng_french_Watkins/c1zan12.cha, line 58 · Christophe 4;04
  1. bilingual_eng_french_Watkins/c1zan12.cha, line 57 · Christophe, 4;4.09
    MOTsay cuckoo Nana !
    CHIxx <xx xx> [>] .
    FAT*FAT: say hello Nana .
    CH5hello Nana .
    FAThow are you ?
  2. bilingual_eng_french_Watkins/c1zan12.cha, line 58 · Christophe, 4;4.09
    CHIxx <xx xx> [>] .
    FATsay hello Nana .
    CH5*CH5: hello Nana .
    FAThow are you ?
    CH5how are you Nana ?

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. Christophe bilingual_eng_french_Watkins13.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan12.chaChristophe 4;4.091442213.89

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. hello2 · 100.0%