PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (346 utterances, 1,783 words searched).

  1. Ann_Marie . MOT · eng_USA_Brown/sarah119.cha, line 844 · Sarah 4;07
  2. well # how did Ann_Marie get into it ? MOT · eng_USA_Brown/sarah119.cha, line 846 · Sarah 4;07
  3. y(ou) mean you (a)n(d) Ann_Marie ? MOT · eng_USA_Brown/sarah119.cha, line 897 · Sarah 4;07
  4. Donna hit you (a)n(d) Ann_Marie . MOT · eng_USA_Brown/sarah119.cha, line 901 · Sarah 4;07
  5. Donna hit you (a)n(d) Ann_Marie with the broom ? MOT · eng_USA_Brown/sarah119.cha, line 909 · Sarah 4;07
  6. Donna hit you (a)n(d) Ann_Marie with the broom ? MOT · eng_USA_Brown/sarah119.cha, line 914 · Sarah 4;07
  1. MOTy(ou) mean who was gonna play with Betty ?
    CHIAnn_Marie .
    MOT*MOT: Ann_Marie .
    MOTwell # how did Ann_Marie get into it ?
    MOTI thought you said <you (a)n(d)> [/] # you (a)n(d) Donna were fightin(g) over Betty [//] # who was gonna play with Betty .
  2. CHIAnn_Marie .
    MOTAnn_Marie .
    MOT*MOT: well # how did Ann_Marie get into it ?
    MOTI thought you said <you (a)n(d)> [/] # you (a)n(d) Donna were fightin(g) over Betty [//] # who was gonna play with Betty .
    CHIwell # then she went in the house .
  3. MOThit who ?
    CHIus with the broom .
    MOT*MOT: y(ou) mean you (a)n(d) Ann_Marie ?
    CHIyeah .
    MOTDonna hit you (a)n(d) Ann_Marie .
  4. MOTy(ou) mean you (a)n(d) Ann_Marie ?
    CHIyeah .
    MOT*MOT: Donna hit you (a)n(d) Ann_Marie .
    MOTwhere did Betty +...
    MOT# I didn't see Betty .
  5. MOT# I didn't see Betty .
    CHII did .
    MOT*MOT: Donna hit you (a)n(d) Ann_Marie with the broom ?
    CHIhuh ?
    MOTDonna hit you (a)n(d) Ann_Marie with the broom ?
  6. MOTDonna hit you (a)n(d) Ann_Marie with the broom ?
    CHIhuh ?
    MOT*MOT: Donna hit you (a)n(d) Ann_Marie with the broom ?
    CHIyeah .
    MOTyeah # then what happened ?

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_Brown3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah119.chaSarah 4;7.241,783663.37

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. ann_marie6 · 100.0%