PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

12.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (38 utterances, 234 words searched).

  1. why did the bee go on your cushion do you know ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 8 · Olivier 2;08
  2. what was there on the cushion ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 10 · Olivier 2;08
  3. why did the bee go on the cushion ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 13 · Olivier 2;08
  1. bilingual_eng_french_Watkins/b2charous05.cha, line 8 · Olivier, 2;8.
    CHInə@u [= a] bee land <on on> [/] on ə@u [= the] cushion .
    MOT*MOT: why did the bee go on your cushion do you know ?
    CHIwhat is it dans le cushion .
    MOTwhat was there on the cushion ?
  2. bilingual_eng_french_Watkins/b2charous05.cha, line 10 · Olivier, 2;8.
    MOTwhy did the bee go on your cushion do you know ?
    CHIwhat is it dans le cushion .
    MOT*MOT: what was there on the cushion ?
    CHIun bee .
    MOTah but what else was there ?
  3. bilingual_eng_french_Watkins/b2charous05.cha, line 13 · Olivier, 2;8.
    CHIun bee .
    MOTah but what else was there ?
    MOT*MOT: why did the bee go on the cushion ?
    CHIbecause # what is it on the cushion ?
    MOTthere was a big white daisy .

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. Olivier bilingual_eng_french_Watkins12.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous05.chaOlivier 2;8.2343312.82

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. cushion3 · 100.0%