PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.25 per 1,000 words of the child (CHI), in 1 of 1 transcripts (303 utterances, 965 words searched).

  1. it's a w@l . CHI · eng_USA_Brown/sarah098.cha, line 237 · Sarah 4;02
  2. that's a w@l . CHI · eng_USA_Brown/sarah098.cha, line 257 · Sarah 4;02
  3. that's a w@l . CHI · eng_USA_Brown/sarah098.cha, line 459 · Sarah 4;02
  4. it's a w@l now . CHI · eng_USA_Brown/sarah098.cha, line 594 · Sarah 4;02
  5. n@l # w@l . CHI · eng_USA_Brown/sarah098.cha, line 606 · Sarah 4;02
  6. w@l ? CHI · eng_USA_Brown/sarah098.cha, line 612 · Sarah 4;02
  7. dis is a@l w@l # like that . CHI · eng_USA_Brown/sarah098.cha, line 700 · Sarah 4;02
  1. MOTI don't know .
    CHIyou know .
    CHI*CHI: it's a w@l .
    MOTwell it didn't look like a w@l to me .
    MOTthis is a w@l .
  2. MOTyou copy it .
    CHIsee ?
    CHI*CHI: that's a w@l .
    MOTyeah # it looks like a w@l .
    CHII made one a those .
  3. GAIwhat did you do ?
    CHIa@l # b@l # c@l # d@l # e@l # f@l # g@l # h@l # i@l # j@l # k@l # l@l # m@l # p@l # q@l # r@l # s@l # t@l +...
    CHI*CHI: that's a w@l .
    CHIwanna see me write # make water ?
    CHIcurly # curly # curly # curly # curly water .
  4. CHIan n@l .
    CHIsee ?
    CHI*CHI: it's a w@l now .
    CHIwhat it looks like now ?
    MOTit still looks like a w@l .
  5. MOTyou tell me .
    MOTyou know .
    CHI*CHI: n@l # w@l .
    MOTno # it's not an n@l .
    MOTit's a what ?
  6. MOTno # it's not an n@l .
    MOTit's a what ?
    CHI*CHI: w@l ?
    MOTno .
    MOTwhen you turn it up the other way # what's this ?
  7. MELnow put the m@l after the a@l .
    MELit has to go the other way around .
    CHI*CHI: dis is a@l w@l # like that .
    GAIright .
    CHIdis is an n@l .

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. Sarah eng_USA_Brown7.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah098.chaSarah 4;2.28965777.25

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. w7 · 100.0%