PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

34.72 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
  4. hello Nana . CH5 · bilingual_eng_french_Watkins/c1zan12.cha, line 58 · Christophe 4;04
  5. how are you Nana ? CH5 · bilingual_eng_french_Watkins/c1zan12.cha, line 60 · 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 ?
  4. CHIxx <xx xx> [>] .
    FATsay hello Nana .
    CH5*CH5: hello Nana .
    FAThow are you ?
    CH5how are you Nana ?
  5. CH5hello Nana .
    FAThow are you ?
    CH5*CH5: how are you Nana ?
    CHIhappy christmas .
    CH5what's this da@u ?

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_Watkins34.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan12.chaChristophe 4;4.091445534.72

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. nana5 · 100.0%