PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

34.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (17 utterances, 58 words searched).

  1. xx xx xx for purée but you've already finished yours . MOT · bilingual_eng_french_Watkins/c1zan13.cha, line 29 · Christophe 4;05
  2. You can do but make sure it doesn't get too soggy, eat it nicely . MOT · bilingual_eng_french_Watkins/c1zan13.cha, line 37 · Christophe 4;05
  1. bilingual_eng_french_Watkins/c1zan13.cha, line 29 · Christophe, 4;5.07
    CHII didn't have one for tea .
    MOTno .
    MOT*MOT: xx xx xx for purée but you've already finished yours .
    CHIhave one for gouter [= tea] .
    MOTxx xx .
  2. bilingual_eng_french_Watkins/c1zan13.cha, line 37 · Christophe, 4;5.07
    MOTuh ?
    CH5you put ɩ@u in there .
    MOT*MOT: You can do but make sure it doesn't get too soggy, eat it nicely .

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_Watkins34.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan13.chaChristophe 4;5.07582234.48

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. but2 · 100.0%