PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. how many nose ? GRA · eng_USA_Brown/sarah017.cha, line 876 · Sarah 2;06
  2. yeah # he's got a big nose . GRA · eng_USA_Brown/sarah017.cha, line 1076 · Sarah 2;06
  3. that's Mickey_Mouse on his nose . GRA · eng_USA_Brown/sarah017.cha, line 1355 · Sarah 2;06
  4. on the giant's nose . GRA · eng_USA_Brown/sarah017.cha, line 1360 · Sarah 2;06
  5. yeah # where's your nose ? MOT · eng_USA_Brown/sarah017.cha, line 1365 · Sarah 2;06
  1. CHItwo eyes .
    GRAtwo eyes .
    GRA*GRA: how many nose ?
    CHIone nose .
    GRAhow many ears ?
  2. CHIyyy .
    CHIxxx nose xxx .
    GRA*GRA: yeah # he's got a big nose .
    CHIhe big nose .
    GRAum .
  3. CHIdere .
    MOTthat's Mickey_Mouse .
    GRA*GRA: that's Mickey_Mouse on his nose .
    CHIxxx +/.
    GRAon the giant's nose .
  4. GRAthat's Mickey_Mouse on his nose .
    CHIxxx +/.
    GRA*GRA: on the giant's nose .
    CHImy nose .
    MOTyeah # where's your nose ?
  5. GRAon the giant's nose .
    CHImy nose .
    MOT*MOT: yeah # where's your nose ?
    CHIhere .
    MOTright here ?

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_Brown2.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731552.89

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%