PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 2,244 words searched).

  1. did I lose the spoon in here ? MOT · eng_british_Manchester_II/warr07b.cha, line 761 · Warren 2;00
  2. what did I do with the spoon ? MOT · eng_british_Manchester_II/warr07b.cha, line 763 · Warren 2;00
  3. where did I put the spoon ? MOT · eng_british_Manchester_II/warr07b.cha, line 765 · Warren 2;00
  4. your spoon . MOT · eng_british_Manchester_II/warr07b.cha, line 823 · Warren 2;00
  5. I've just seen your spoon actually . MOT · eng_british_Manchester_II/warr07b.cha, line 827 · Warren 2;00
  6. there's your spoon . MOT · eng_british_Manchester_II/warr07b.cha, line 832 · Warren 2;00
  1. eng_british_Manchester_II/warr07b.cha, line 761 · Warren, 2;0.17
    MOTthank you .
    MOTright .
    MOT*MOT: did I lose the spoon in here ?
    MOTwhat did I do with the spoon ?
    MOTwhere did I put the spoon ?
  2. eng_british_Manchester_II/warr07b.cha, line 763 · Warren, 2;0.17
    MOTright .
    MOTdid I lose the spoon in here ?
    MOT*MOT: what did I do with the spoon ?
    MOTwhere did I put the spoon ?
    MOTdid I put it +//.
  3. eng_british_Manchester_II/warr07b.cha, line 765 · Warren, 2;0.17
    MOTdid I lose the spoon in here ?
    MOTwhat did I do with the spoon ?
    MOT*MOT: where did I put the spoon ?
    MOTdid I put it +//.
    MOTtell you what .
  4. eng_british_Manchester_II/warr07b.cha, line 823 · Warren, 2;0.17
    MOTyour what's gone ?
    CHImy spoon 0has [*] gone .
    MOT*MOT: your spoon .
    MOToh no .
    MOTI've just seen your spoon actually .
  5. eng_british_Manchester_II/warr07b.cha, line 827 · Warren, 2;0.17
    MOTyour spoon .
    MOToh no .
    MOT*MOT: I've just seen your spoon actually .
    MOTit's here .
    MOTthere's your spoon .
  6. eng_british_Manchester_II/warr07b.cha, line 832 · Warren, 2;0.17
    MOTI've just seen your spoon actually .
    MOTit's here .
    MOT*MOT: there's your spoon .
    MOTbut you don't really need it at the moment .
    CHImore medicine .

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. Warren eng_british_Manchester_II2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244662.67

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. spoon6 · 100.0%