PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

25.64 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. why did the bee go on the cushion ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 13 · Olivier 2;08
  3. did she want the bee ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 24 · Olivier 2;08
  4. and how did she make the bee go away ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 26 · Olivier 2;08
  5. and where did she put it ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 31 · Olivier 2;08
  6. and what did the little bee do when he [=! mimes smelling] smelt the honeysuckle ? MOT · bilingual_eng_french_Watkins/b2charous05.cha, line 35 · Olivier 2;08
  1. 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. 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 .
  3. MOTwhy not ?
    CHIbecause +...
    MOT*MOT: did she want the bee ?
    CHIno .
    MOTand how did she make the bee go away ?
  4. MOTdid she want the bee ?
    CHIno .
    MOT*MOT: and how did she make the bee go away ?
    MOTdo you remember what she went to the shop and bought ?
    CHIwhat ?
  5. MOTshe went to the shop and she bought a honeysuckle .
    CHIhoneysuckle .
    MOT*MOT: and where did she put it ?
    CHIxxx put it ?
    MOTin the garden .
  6. MOTin the garden .
    CHIgade@u [= garden] .
    MOT*MOT: and what did the little bee do when he [=! mimes smelling] smelt the honeysuckle ?
    CHIhe did +...
    MOThe flew into +...

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_Watkins25.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous05.chaOlivier 2;8.2346625.64

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. did6 · 100.0%