PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,270 words searched).

  1. just give me the cow . MOT · eng_USA_Brown/sarah043.cha, line 797 · Sarah 3;01
  2. give me the cow . MOT · eng_USA_Brown/sarah043.cha, line 799 · Sarah 3;01
  3. give me the monkey . MOT · eng_USA_Brown/sarah043.cha, line 805 · Sarah 3;01
  4. give me the monkey in the +... MOT · eng_USA_Brown/sarah043.cha, line 807 · Sarah 3;01
  5. alright # give me the bunny . MOT · eng_USA_Brown/sarah043.cha, line 819 · Sarah 3;01
  6. oh # I thought you were going to give him to me . MOT · eng_USA_Brown/sarah043.cha, line 831 · Sarah 3;01
  1. eng_USA_Brown/sarah043.cha, line 797 · Sarah, 3;1.03
    CHII can't find em .
    MOTlook in the box there .
    MOT*MOT: just give me the cow .
    MOTgive me the cow .
    MOTon the other side of the piano .
  2. eng_USA_Brown/sarah043.cha, line 799 · Sarah, 3;1.03
    MOTlook in the box there .
    MOTjust give me the cow .
    MOT*MOT: give me the cow .
    MOTon the other side of the piano .
    MOTover there by the horsie .
  3. eng_USA_Brown/sarah043.cha, line 805 · Sarah, 3;1.03
    MOTon the other side of the piano .
    MOTover there by the horsie .
    MOT*MOT: give me the monkey .
    MOTgive me the monkey in the +...
    MOTright there .
  4. eng_USA_Brown/sarah043.cha, line 807 · Sarah, 3;1.03
    MOTover there by the horsie .
    MOTgive me the monkey .
    MOT*MOT: give me the monkey in the +...
    MOTright there .
    MOTyeah .
  5. eng_USA_Brown/sarah043.cha, line 819 · Sarah, 3;1.03
    MOTyeah .
    CHIxxx ?
    MOT*MOT: alright # give me the bunny .
    MOTc(o)me on .
    CHIc(o)me on .
  6. eng_USA_Brown/sarah043.cha, line 831 · Sarah, 3;1.03
    MOTwhere's the bunny ?
    CHIright here .
    MOT*MOT: oh # I thought you were going to give him to me .
    MOTalright # let's see .
    MOTwhat's his name ?

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_Brown4.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah043.chaSarah 3;1.031,270664.72

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. give6 · 100.0%