PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. come and say cuckoo to Nana who's in England . MOT · bilingual_eng_french_Watkins/c1zan12.cha, line 54 · Christophe 4;04
  2. say cuckoo Nana ! MOT · bilingual_eng_french_Watkins/c1zan12.cha, line 55 · Christophe 4;04
  3. say hello Nana . FAT · bilingual_eng_french_Watkins/c1zan12.cha, line 57 · Christophe 4;04
  1. GRAyes .
    CHIcan you see, look .
    MOT*MOT: come and say cuckoo to Nana who's in England .
    MOTsay cuckoo Nana !
    CHIxx <xx xx> [>] .
  2. CHIcan you see, look .
    MOTcome and say cuckoo to Nana who's in England .
    MOT*MOT: say cuckoo Nana !
    CHIxx <xx xx> [>] .
    FATsay hello Nana .
  3. MOTsay cuckoo Nana !
    CHIxx <xx xx> [>] .
    FAT*FAT: say hello Nana .
    CH5hello Nana .
    FAThow are you ?

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_Watkins20.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan12.chaChristophe 4;4.091443320.83

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. say3 · 100.0%