PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (321 utterances, 1,034 words searched).

  1. all right # play nice with Mike . MOT · eng_USA_Brown/sarah006.cha, line 162 · Sarah 2;03
  2. want # a play Ring_a_round_a_rosy ? MOT · eng_USA_Brown/sarah006.cha, line 1150 · Sarah 2;03
  3. oh # let's play Ring_a_round_a_rosy . MOT · eng_USA_Brown/sarah006.cha, line 1154 · Sarah 2;03
  4. play Ring_a_round_a_rosy ? MOT · eng_USA_Brown/sarah006.cha, line 1157 · Sarah 2;03
  1. MOTshe's waitin(g) for the dog to run .
    MOTafter her # xxx waitin(g) .
    MOT*MOT: all right # play nice with Mike .
    MOTdon't make Mike chase you .
    CHIxxx .
  2. MOTwhat can we do now ?
    MOTlet's see # what'll we do .
    MOT*MOT: want # a play Ring_a_round_a_rosy ?
    MOThuh ?
    MOToh # let's play Ring_a_round_a_rosy .
  3. MOTwant # a play Ring_a_round_a_rosy ?
    MOThuh ?
    MOT*MOT: oh # let's play Ring_a_round_a_rosy .
    MOTplay Ring_a_round_a_rosy ?
    MOTyou sing .
  4. MOThuh ?
    MOToh # let's play Ring_a_round_a_rosy .
    MOT*MOT: play Ring_a_round_a_rosy ?
    MOTyou sing .
    CHIxxx .

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_Brown3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah006.chaSarah 2;3.281,034443.87

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. play4 · 100.0%