PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

12.96 per 1,000 words of the child (CHI), in 1 of 1 transcripts (275 utterances, 1,080 words searched).

  1. I could talk like this . CHI · eng_USA_Brown/sarah093.cha, line 51 · Sarah 4;01
  2. go like that . CHI · eng_USA_Brown/sarah093.cha, line 63 · Sarah 4;01
  3. oh # like that ? CHI · eng_USA_Brown/sarah093.cha, line 261 · Sarah 4;01
  4. makes noise like that . CHI · eng_USA_Brown/sarah093.cha, line 281 · Sarah 4;01
  5. can I cut [/] # cut all the way like that ? CHI · eng_USA_Brown/sarah093.cha, line 289 · Sarah 4;01
  6. see you make a line # like +... CHI · eng_USA_Brown/sarah093.cha, line 316 · Sarah 4;01
  7. like that . CHI · eng_USA_Brown/sarah093.cha, line 320 · Sarah 4;01
  8. straight down # like that . CHI · eng_USA_Brown/sarah093.cha, line 332 · Sarah 4;01
  9. and you come forwards [*] like +... CHI · eng_USA_Brown/sarah093.cha, line 334 · Sarah 4;01
  10. like that ? CHI · eng_USA_Brown/sarah093.cha, line 879 · Sarah 4;01
  11. I can cut better like that . CHI · eng_USA_Brown/sarah093.cha, line 890 · Sarah 4;01
  12. and um Betty was puttin(g) her foot out like this . CHI · eng_USA_Brown/sarah093.cha, line 1272 · Sarah 4;01
  13. and Sandra was goin(g) like this # like that . CHI · eng_USA_Brown/sarah093.cha, line 1275 · Sarah 4;01
  14. and Sandra was goin(g) like this # like that . CHI · eng_USA_Brown/sarah093.cha, line 1275 · Sarah 4;01
  1. MELwhat would you say if you were him ?
    CHII don't know .
    CHI*CHI: I could talk like this .
    MELlike how ?
    CHII can snap .
  2. MELoh # I don't hear it .
    MELthat's pretty good .
    CHI*CHI: go like that .
    MOTshe come running out of the bed+room # last +...
    MOTwhen was it # Saturday night ?
  3. MOTthis way .
    MOTyou have to hold the paper .
    CHI*CHI: oh # like that ?
    CHIknow how to cut now .
    MOTcut it straight # not that way .
  4. MOTI don't think these are much good .
    MOTwhat's a matter with you ?
    CHI*CHI: makes noise like that .
    MOTit doesn't cut very good .
    CHIhuh ?
  5. CHIhuh ?
    MOTit doesn't cut very good .
    CHI*CHI: can I cut [/] # cut all the way like that ?
    MOTyou can try first .
    MOTyou got it backward .
  6. GAImmhm .
    CHI<the corner> [//] # two corners .
    CHI*CHI: see you make a line # like +...
    CHIthis one doesn't work too good .
    CHIlike that .
  7. CHIsee you make a line # like +...
    CHIthis one doesn't work too good .
    CHI*CHI: like that .
    CHInow you make a b@l .
    CHIthat's easy to make a b@l # huh ?
  8. MOTmake a k@l .
    CHIwatch .
    CHI*CHI: straight down # like that .
    CHIand you come forwards [*] like +...
    CHII know how to make a +...
  9. CHIwatch .
    CHIstraight down # like that .
    CHI*CHI: and you come forwards [*] like +...
    CHII know how to make a +...
    CHII'm gonna rip this up .
  10. MELyou're doing this and then <you can't> [/] # you can't hardly squeeze it .
    MELput it more at the end of your fingers and then you can cut better .
    CHI*CHI: like that ?
    MELyeah # maybe your fingers aren't long enough .
    MELthat's better though # there is better than there .
  11. MELthat's better though # there is better than there .
    MELsee if you can cut better like that .
    CHI*CHI: I can cut better like that .
    CHIwatch .
    MELI guess you're right .
  12. GAIdoes Betty bite her ?
    CHIand she hit her and everything .
    CHI*CHI: and um Betty was puttin(g) her foot out like this .
    CHIand Sandra was goin(g) like this # like that .
    CHIand um she runned over too .
  13. CHIand she hit her and everything .
    CHIand um Betty was puttin(g) her foot out like this .
    CHI*CHI: and Sandra was goin(g) like this # like that .
    CHIand um she runned over too .
    GAImmhm .

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_Brown12.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah093.chaSarah 4;1.281,080131412.96

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.

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