PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (300 utterances, 1,202 words searched).

  1. this fascination with our shoes . MOT · eng_british_Manchester_II/john30b.cha, line 855 · John 2;09
  2. please take the shoes off . MOT · eng_british_Manchester_II/john30b.cha, line 865 · John 2;09
  3. you either have the spoon without the shoes or you have the shoes without the spoon . MOT · eng_british_Manchester_II/john30b.cha, line 872 · John 2;09
  4. you either have the spoon without the shoes or you have the shoes without the spoon . MOT · eng_british_Manchester_II/john30b.cha, line 872 · John 2;09
  5. no spoon or no shoes ? MOT · eng_british_Manchester_II/john30b.cha, line 879 · John 2;09
  6. no shoes . MOT · eng_british_Manchester_II/john30b.cha, line 885 · John 2;09
  1. eng_british_Manchester_II/john30b.cha, line 855 · John, 2;9.12
    MOTGranny only has one so she tells me .
    MOTJohn .
    MOT*MOT: this fascination with our shoes .
    MOToh steady .
    MOTare you all right , John ?
  2. eng_british_Manchester_II/john30b.cha, line 865 · John, 2;9.12
    CHInot all right .
    MOTyou're not all right .
    MOT*MOT: please take the shoes off .
    MOTespecially when you've got a spoon in your mouth .
    MOTcome on .
  3. eng_british_Manchester_II/john30b.cha, line 872 · John, 2;9.12
    MOTespecially when you've got a spoon in your mouth .
    MOTcome on .
    MOT*MOT: you either have the spoon without the shoes or you have the shoes without the spoon .
    MOTwhich do you want to have ?
    MOTno spoon or no shoes ?
  4. eng_british_Manchester_II/john30b.cha, line 879 · John, 2;9.12
    MOTyou either have the spoon without the shoes or you have the shoes without the spoon .
    MOTwhich do you want to have ?
    MOT*MOT: no spoon or no shoes ?
    MOTcome on .
    MOTokay .
  5. eng_british_Manchester_II/john30b.cha, line 885 · John, 2;9.12
    MOTcome on .
    MOTokay .
    MOT*MOT: no shoes .
    MOTvery good .
    MOToh John .

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. John eng_british_Manchester_II4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john30b.chaJohn 2;9.121,202564.99

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. shoes6 · 100.0%