PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. how many fingers ? MOT · eng_USA_Brown/sarah020.cha, line 960 · Sarah 2;07
  2. five # yeah # but all together how many fingers ? MOT · eng_USA_Brown/sarah020.cha, line 965 · Sarah 2;07
  3. how many fingers ? MOT · eng_USA_Brown/sarah020.cha, line 972 · Sarah 2;07
  4. ten fingers . MOT · eng_USA_Brown/sarah020.cha, line 981 · Sarah 2;07
  5. yeah # ten fingers . MOT · eng_USA_Brown/sarah020.cha, line 985 · Sarah 2;07
  6. your fingers are right here . MOT · eng_USA_Brown/sarah020.cha, line 1023 · Sarah 2;07
  7. Tony [/] # Tony don't have any fingers . MOT · eng_USA_Brown/sarah020.cha, line 1027 · Sarah 2;07
  8. yeah # horses don't have fingers . MOT · eng_USA_Brown/sarah020.cha, line 1035 · Sarah 2;07
  1. CHItwo feet .
    MOTyeah xxx .
    MOT*MOT: how many fingers ?
    CHIfive .
    MOTfive # yeah # but all together how many fingers ?
  2. MOThow many fingers ?
    CHIfive .
    MOT*MOT: five # yeah # but all together how many fingers ?
    MOTwhat did I tell you ?
    CHItwo .
  3. MOTwhat did I tell you ?
    CHItwo .
    MOT*MOT: how many fingers ?
    MOTfive +...
    CHIfive .
  4. CHIfive .
    MOTand five is ten .
    MOT*MOT: ten fingers .
    CHIten fingers .
    MOTyeah # ten fingers .
  5. MOTten fingers .
    CHIten fingers .
    MOT*MOT: yeah # ten fingers .
    MOTlet's count them .
    CHIone .
  6. MOThmm ?
    CHIwhere fingers ?
    MOT*MOT: your fingers are right here .
    CHITony_Pony fingers .
    MOTTony [/] # Tony don't have any fingers .
  7. MOTyour fingers are right here .
    CHITony_Pony fingers .
    MOT*MOT: Tony [/] # Tony don't have any fingers .
    CHIwhy ?
    MOT(be)cause he's only a horse .
  8. MOT(be)cause he's only a horse .
    CHIhorse ?
    MOT*MOT: yeah # horses don't have fingers .
    JOAhe's got an eye .
    MOTsee # he's got eyes .

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_Brown6.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236886.47

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. fingers8 · 100.0%