PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

14.25 per 1,000 words of the child (CHI), in 1 of 1 transcripts (252 utterances, 842 words searched).

  1. hey # we have one of those puzzles like +... CHI · eng_USA_Brown/sarah103.cha, line 114 · Sarah 4;04
  2. does # we have a butterfly like that . CHI · eng_USA_Brown/sarah103.cha, line 117 · Sarah 4;04
  3. it looks like a # polar+bear . CHI · eng_USA_Brown/sarah103.cha, line 174 · Sarah 4;04
  4. hey jus(t) like Santa_Claus # hmm . CHI · eng_USA_Brown/sarah103.cha, line 184 · Sarah 4;04
  5. like &s +... CHI · eng_USA_Brown/sarah103.cha, line 188 · Sarah 4;04
  6. but <it ha(ve)> [//] it ha(ve) a animal like that . CHI · eng_USA_Brown/sarah103.cha, line 198 · Sarah 4;04
  7. um # Santa_Claus didn't stay down like this puzzle . CHI · eng_USA_Brown/sarah103.cha, line 265 · Sarah 4;04
  8. I don't like myself . CHI · eng_USA_Brown/sarah103.cha, line 525 · Sarah 4;04
  9. Indians go like that # y(ou) know . CHI · eng_USA_Brown/sarah103.cha, line 585 · Sarah 4;04
  10. now it goes like dat . CHI · eng_USA_Brown/sarah103.cha, line 857 · Sarah 4;04
  11. like that ? CHI · eng_USA_Brown/sarah103.cha, line 1193 · Sarah 4;04
  12. yep # it goes like that . CHI · eng_USA_Brown/sarah103.cha, line 1197 · Sarah 4;04
  1. eng_USA_Brown/sarah103.cha, line 114 · Sarah, 4;4.01
    MEL<we'll make> [/] we'll make more room for you .
    MOTsee # c(o)me on .
    CHI*CHI: hey # we have one of those puzzles like +...
    CHIdoes # we have a butterfly like that .
    MOTyou have a butterfly ?
  2. eng_USA_Brown/sarah103.cha, line 117 · Sarah, 4;4.01
    MOTsee # c(o)me on .
    CHIhey # we have one of those puzzles like +...
    CHI*CHI: does # we have a butterfly like that .
    MOTyou have a butterfly ?
    MOTin what # the other puzzle ?
  3. eng_USA_Brown/sarah103.cha, line 174 · Sarah, 4;4.01
    CHIyes .
    GAIwhat animal does that look like ?
    CHI*CHI: it looks like a # polar+bear .
    GAIit looks like a polar+bear ?
    CHIyeah .
  4. eng_USA_Brown/sarah103.cha, line 184 · Sarah, 4;4.01
    GAIoh .
    CHIuh # oh+boy .
    CHI*CHI: hey jus(t) like Santa_Claus # hmm .
    MOTit looks like what ?
    CHIlike &s +...
  5. eng_USA_Brown/sarah103.cha, line 188 · Sarah, 4;4.01
    CHIhey jus(t) like Santa_Claus # hmm .
    MOTit looks like what ?
    CHI*CHI: like &s +...
    MEL(be)cause it has a beard .
    MELdoes that look like a beard ?
  6. eng_USA_Brown/sarah103.cha, line 198 · Sarah, 4;4.01
    CHI<ye(s)> [//] no # but +...
    MOTSanta_Claus ?
    CHI*CHI: but <it ha(ve)> [//] it ha(ve) a animal like that .
    CHIbut it doesn't have this kind o(f) animal .
    CHII think .
  7. eng_USA_Brown/sarah103.cha, line 265 · Sarah, 4;4.01
    GAIthat matches there ?
    CHIyep .
    CHI*CHI: um # Santa_Claus didn't stay down like this puzzle .
    MOTSanta_Claus doesn't stay down like this puzzle ?
    CHIno .
  8. eng_USA_Brown/sarah103.cha, line 525 · Sarah, 4;4.01
    FATlook for me at nine thirty you'll see me .
    CHIaah # now I got # um +...
    CHI*CHI: I don't like myself .
    GAIwhy not ?
    CHI(be)cause .
  9. eng_USA_Brown/sarah103.cha, line 585 · Sarah, 4;4.01
    GAIwhere did you hear that ?
    GAIwhere did you hear those noises ?
    CHI*CHI: Indians go like that # y(ou) know .
    GAIhow do you know ?
    CHIbecause I saw it on tv .
  10. eng_USA_Brown/sarah103.cha, line 857 · Sarah, 4;4.01
    CHIdis one # easy .
    CHIpops up .
    CHI*CHI: now it goes like dat .
    CHIhow many pieces we got left ?
    GAIyou tell me .
  11. eng_USA_Brown/sarah103.cha, line 1193 · Sarah, 4;4.01
    CHInow # I guess that goes right there # doesn't it ?
    GAIyes .
    CHI*CHI: like that ?
    GAIperfect .
    CHIyep # it goes like that .
  12. eng_USA_Brown/sarah103.cha, line 1197 · Sarah, 4;4.01
    CHIlike that ?
    GAIperfect .
    CHI*CHI: yep # it goes like that .
    CHIoh+boy .
    CHINancy_Nellie .

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_Brown14.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah103.chaSarah 4;4.01842121214.25

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. like12 · 100.0%