PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

9.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (260 utterances, 538 words searched).

  1. a nose . SAR · eng_USA_Brown/sarah001.cha, line 37
  2. your nose . GLO · eng_USA_Brown/sarah001.cha, line 40
  3. nose . SAR · eng_USA_Brown/sarah001.cha, line 136
  4. a nose . SAR · eng_USA_Brown/sarah001.cha, line 143
  5. a nose . SAR · eng_USA_Brown/sarah001.cha, line 148
  1. eng_USA_Brown/sarah001.cha, line 37
    GLOyeah .
    GLOwhat's this ?
    SAR*SAR: a nose .
    GLOyour nose .
    GLOan(d) what's that ?
  2. eng_USA_Brown/sarah001.cha, line 40
    GLOwhat's this ?
    SARa nose .
    GLO*GLO: your nose .
    GLOan(d) what's that ?
    SARa eye .
  3. eng_USA_Brown/sarah001.cha, line 136
    MOTbobby .
    MOTan(d) what's this ?
    SAR*SAR: nose .
    SAReyes .
    MOTwhat's this ?
  4. eng_USA_Brown/sarah001.cha, line 143
    SAReyes .
    MOTwhat's this ?
    SAR*SAR: a nose .
    MOTan(d) what's this .
    SARa nose .
  5. eng_USA_Brown/sarah001.cha, line 148
    SARa nose .
    MOTan(d) what's this .
    SAR*SAR: a nose .
    MOTwhat's this ?
    SAReye .

Matches by child

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

  1. Sarah eng_USA_Brown9.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah001.chaSarah 538559.29

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. nose5 · 100.0%