PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

42.94 per 1,000 words of the child (CHI), in 1 of 1 transcripts (65 utterances, 163 words searched).

  1. I like this bread . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 22 · Jeremy 2;05
  2. I'd like pasta . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 54 · Jeremy 2;05
  3. I'd like pasta . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 57 · Jeremy 2;05
  4. I like pasta . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 59 · Jeremy 2;05
  5. I like 0this [*] . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 137 · Jeremy 2;05
  6. xx like that . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 159 · Jeremy 2;05
  7. xx like that . CHI · bilingual_eng_french_Watkins/a01wat09.cha, line 160 · Jeremy 2;05
  1. MOTwww .
    FATwww .
    CHI*CHI: I like this bread .
    FATDo you like this bread or not ?
    CHIyes .
  2. FAT# do you like pasta ?
    FATumh ?
    CHI*CHI: I'd like pasta .
    FATyou like pasta do you ?
    FAThm ?
  3. FATyou like pasta do you ?
    FAThm ?
    CHI*CHI: I'd like pasta .
    FATno you like pasta .
    CHII like pasta .
  4. CHII'd like pasta .
    FATno you like pasta .
    CHI*CHI: I like pasta .
    MOTwww .
    FATwww .
  5. MOTI thought you liked pasta, Wally .
    CHIno .
    CHI*CHI: I like 0this [*] .
    MOTno no no that's for Daddy .
    MOT[- to FAT] do you want to finish this Charles ?
  6. CHI# two swiss+boys@f .
    MOTokay .
    CHI*CHI: xx like that .
    CHIxx like that .
    MOTyou don't eat them like that .
  7. MOTokay .
    CHIxx like that .
    CHI*CHI: xx like that .
    MOTyou don't eat them like that .
    FATcareful .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Jeremy bilingual_eng_french_Watkins42.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat09.chaJeremy 2;5.171637742.94

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. like7 · 100.0%