PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

5.27 per 1,000 words of the child (CHI), in 1 of 1 transcripts (209 utterances, 949 words searched).

  1. he was laying down . CHI · eng_USA_Bliss/normelis.cha, line 247 · Melissa 3;04
  2. <he was (ea)t> [//] she was eat breakfast with dat [: that] banana . CHI · eng_USA_Bliss/normelis.cha, line 424 · Melissa 3;04
  3. <he was (ea)t> [//] she was eat breakfast with dat [: that] banana . CHI · eng_USA_Bliss/normelis.cha, line 424 · Melissa 3;04
  4. she was eat breakfast and she's got whiskers on . CHI · eng_USA_Bliss/normelis.cha, line 431 · Melissa 3;04
  5. cause he was cookin(g) somethin(g) . CHI · eng_USA_Bliss/normelis.cha, line 706 · Melissa 3;04
  1. eng_USA_Bliss/normelis.cha, line 247 · Melissa, 3;04.
    CHIate the grass and he spit it out .
    KARwhat was he doing in this picture ?
    CHI*CHI: he was laying down .
    CHI<we got> [//] gotta [//] <we gotta stick this on the> [//] the page .
    KARI have a picture of two friends and I want you to tell me what they are doing .
  2. eng_USA_Bliss/normelis.cha, line 424 · Melissa, 3;04.
    CHIlet's do &-uh game now .
    KARtell me about the monkey .
    CHI*CHI: <he was (ea)t> [//] she was eat breakfast with dat [: that] banana .
    CHIshe was eat breakfast and she's got whiskers on .
    KARwhat's in front of her ?
  3. eng_USA_Bliss/normelis.cha, line 431 · Melissa, 3;04.
    KARtell me about the monkey .
    CHI<he was (ea)t> [//] she was eat breakfast with dat [: that] banana .
    CHI*CHI: she was eat breakfast and she's got whiskers on .
    KARwhat's in front of her ?
    CHIthis ?
  4. eng_USA_Bliss/normelis.cha, line 706 · Melissa, 3;04.
    CHIcan you take his hat off ?
    KARwhy do you think he had the hat on ?
    CHI*CHI: cause he was cookin(g) somethin(g) .
    CHIdo his buttons up .
    KARdoes the grandmother work ?

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. Melissa eng_USA_Bliss5.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bliss/normelis.chaMelissa 3;04.949455.27

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. was5 · 100.0%