PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. two of them # yeah . MOT · eng_USA_Brown/sarah020.cha, line 628 · Sarah 2;07
  2. two tramps . MOT · eng_USA_Brown/sarah020.cha, line 630 · Sarah 2;07
  3. you haven't got two heads . MOT · eng_USA_Brown/sarah020.cha, line 917 · Sarah 2;07
  4. two eyes . MOT · eng_USA_Brown/sarah020.cha, line 932 · Sarah 2;07
  5. one # two . JOA · eng_USA_Brown/sarah020.cha, line 1049 · Sarah 2;07
  6. two eyes . JOA · eng_USA_Brown/sarah020.cha, line 1052 · Sarah 2;07
  7. two ears . MOT · eng_USA_Brown/sarah020.cha, line 1071 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 628 · Sarah, 2;7.05
    CHItwo # Mommy .
    CHItwo .
    MOT*MOT: two of them # yeah .
    MOTtwo tramps .
    CHItwo t(r)amps .
  2. eng_USA_Brown/sarah020.cha, line 630 · Sarah, 2;7.05
    CHItwo .
    MOTtwo of them # yeah .
    MOT*MOT: two tramps .
    CHItwo t(r)amps .
    MOTyeah .
  3. eng_USA_Brown/sarah020.cha, line 917 · Sarah, 2;7.05
    MOThow many heads have you got ?
    CHItwo head .
    MOT*MOT: you haven't got two heads .
    MOThow many heads ?
    MOThow many heads have you got ?
  4. eng_USA_Brown/sarah020.cha, line 932 · Sarah, 2;7.05
    MOThow many eyes have you got ?
    CHItwo .
    MOT*MOT: two eyes .
    MOTand how many nose ?
    CHIone nose .
  5. eng_USA_Brown/sarah020.cha, line 1049 · Sarah, 2;7.05
    JOAhow many eyes has Tony got ?
    CHIwhat eyes ?
    JOA*JOA: one # two .
    JOAtwo eyes .
    CHItwo eyes .
  6. eng_USA_Brown/sarah020.cha, line 1052 · Sarah, 2;7.05
    CHIwhat eyes ?
    JOAone # two .
    JOA*JOA: two eyes .
    CHItwo eyes .
    JOAyeah # has Tony got a nose ?
  7. eng_USA_Brown/sarah020.cha, line 1071 · Sarah, 2;7.05
    CHIone # two ear .
    CHItwo .
    MOT*MOT: two ears .
    CHItwo ears .
    MOToh # who's that ?

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_Brown5.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236775.66

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. two7 · 100.0%