PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

10.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. how many heads have you got ? MOT · eng_USA_Brown/sarah020.cha, line 912 · Sarah 2;07
  2. how many heads ? MOT · eng_USA_Brown/sarah020.cha, line 920 · Sarah 2;07
  3. how many heads have you got ? MOT · eng_USA_Brown/sarah020.cha, line 922 · Sarah 2;07
  4. how many eyes have you got ? MOT · eng_USA_Brown/sarah020.cha, line 928 · Sarah 2;07
  5. and how many nose ? MOT · eng_USA_Brown/sarah020.cha, line 934 · Sarah 2;07
  6. and how many teeth ? MOT · eng_USA_Brown/sarah020.cha, line 939 · Sarah 2;07
  7. how many hands ? MOT · eng_USA_Brown/sarah020.cha, line 945 · Sarah 2;07
  8. how many hands ? MOT · eng_USA_Brown/sarah020.cha, line 950 · Sarah 2;07
  9. (a)n(d) how many feet ? MOT · eng_USA_Brown/sarah020.cha, line 954 · Sarah 2;07
  10. how many fingers ? MOT · eng_USA_Brown/sarah020.cha, line 960 · Sarah 2;07
  11. five # yeah # but all together how many fingers ? MOT · eng_USA_Brown/sarah020.cha, line 965 · Sarah 2;07
  12. how many fingers ? MOT · eng_USA_Brown/sarah020.cha, line 972 · Sarah 2;07
  13. how many eyes has Tony got ? JOA · eng_USA_Brown/sarah020.cha, line 1045 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 912 · Sarah, 2;7.05
    MOTthat's right .
    CHIears .
    MOT*MOT: how many heads have you got ?
    CHItwo head .
    MOTyou haven't got two heads .
  2. eng_USA_Brown/sarah020.cha, line 920 · Sarah, 2;7.05
    CHItwo head .
    MOTyou haven't got two heads .
    MOT*MOT: how many heads ?
    MOThow many heads have you got ?
    CHIxxx .
  3. eng_USA_Brown/sarah020.cha, line 922 · Sarah, 2;7.05
    MOTyou haven't got two heads .
    MOThow many heads ?
    MOT*MOT: how many heads have you got ?
    CHIxxx .
    MOTone head .
  4. eng_USA_Brown/sarah020.cha, line 928 · Sarah, 2;7.05
    CHIxxx .
    MOTone head .
    MOT*MOT: how many eyes have you got ?
    CHItwo .
    MOTtwo eyes .
  5. eng_USA_Brown/sarah020.cha, line 934 · Sarah, 2;7.05
    CHItwo .
    MOTtwo eyes .
    MOT*MOT: and how many nose ?
    CHIone nose .
    MOTand how many teeth ?
  6. eng_USA_Brown/sarah020.cha, line 939 · Sarah, 2;7.05
    MOTand how many nose ?
    CHIone nose .
    MOT*MOT: and how many teeth ?
    CHIone teeth .
    MOTone teeth ?
  7. eng_USA_Brown/sarah020.cha, line 945 · Sarah, 2;7.05
    CHIone teeth .
    MOTone teeth ?
    MOT*MOT: how many hands ?
    CHImore my [?] hand .
    MOThow many hands ?
  8. eng_USA_Brown/sarah020.cha, line 950 · Sarah, 2;7.05
    MOThow many hands ?
    CHImore my [?] hand .
    MOT*MOT: how many hands ?
    CHItwo hand .
    MOT(a)n(d) how many feet ?
  9. eng_USA_Brown/sarah020.cha, line 954 · Sarah, 2;7.05
    MOThow many hands ?
    CHItwo hand .
    MOT*MOT: (a)n(d) how many feet ?
    CHItwo feet .
    MOTyeah xxx .
  10. eng_USA_Brown/sarah020.cha, line 960 · Sarah, 2;7.05
    CHItwo feet .
    MOTyeah xxx .
    MOT*MOT: how many fingers ?
    CHIfive .
    MOTfive # yeah # but all together how many fingers ?
  11. eng_USA_Brown/sarah020.cha, line 965 · Sarah, 2;7.05
    MOThow many fingers ?
    CHIfive .
    MOT*MOT: five # yeah # but all together how many fingers ?
    MOTwhat did I tell you ?
    CHItwo .
  12. eng_USA_Brown/sarah020.cha, line 972 · Sarah, 2;7.05
    MOTwhat did I tell you ?
    CHItwo .
    MOT*MOT: how many fingers ?
    MOTfive +...
    CHIfive .
  13. eng_USA_Brown/sarah020.cha, line 1045 · Sarah, 2;7.05
    CHIxxx eye eye he .
    CHIright here .
    JOA*JOA: how many eyes has Tony got ?
    CHIwhat eyes ?
    JOAone # two .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but 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_Brown10.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236131310.52

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. many13 · 100.0%