PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. a monkey . SAR · eng_USA_Brown/sarah002.cha, line 390
  2. a monkey . MOT · eng_USA_Brown/sarah002.cha, line 392
  3. a monkey . SAR · eng_USA_Brown/sarah002.cha, line 568
  4. a monkey at the zoo . MOT · eng_USA_Brown/sarah002.cha, line 570
  5. monkey . SAR · eng_USA_Brown/sarah002.cha, line 926
  6. monkey # yup . MOT · eng_USA_Brown/sarah002.cha, line 928
  1. eng_USA_Brown/sarah002.cha, line 390
    MOTMr Moon .
    MOTwho's this ?
    SAR*SAR: a monkey .
    MOTa monkey .
    MOTand # what's this ?
  2. eng_USA_Brown/sarah002.cha, line 392
    MOTwho's this ?
    SARa monkey .
    MOT*MOT: a monkey .
    MOTand # what's this ?
    SARa boat .
  3. eng_USA_Brown/sarah002.cha, line 568
    MOTa boat .
    MOToh # who's this ?
    SAR*SAR: a monkey .
    MOTa monkey at the zoo .
    MOTsee all the people at the zoo ?
  4. eng_USA_Brown/sarah002.cha, line 570
    MOToh # who's this ?
    SARa monkey .
    MOT*MOT: a monkey at the zoo .
    MOTsee all the people at the zoo ?
    MOThuh who's this ?
  5. eng_USA_Brown/sarah002.cha, line 926
    SARMummy .
    SARxx .
    SAR*SAR: monkey .
    MOTmonkey # yup .
    SARdoggy .
  6. eng_USA_Brown/sarah002.cha, line 928
    SARxx .
    SARmonkey .
    MOT*MOT: monkey # yup .
    SARdoggy .
    MOTdoggy .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown4.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273664.71

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. monkey6 · 100.0%