PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,873 words searched).

  1. and when you went into Manchester . MOT · eng_british_Manchester_II/warr16b.cha, line 285 · Warren 2;03
  2. the man climbs into the train . MOT · eng_british_Manchester_II/warr16b.cha, line 707 · Warren 2;03
  3. throwing the peel into the bin with great accuracy . MOT · eng_british_Manchester_II/warr16b.cha, line 818 · Warren 2;03
  4. let's turn it into a giraffe . MOT · eng_british_Manchester_II/warr16b.cha, line 1437 · Warren 2;03
  5. shall we make it into a jolly ? MOT · eng_british_Manchester_II/warr16b.cha, line 1441 · Warren 2;03
  1. eng_british_Manchester_II/warr16b.cha, line 285 · Warren, 2;3.08
    MOTyes you did .
    MOTyou went in the garden .
    MOT*MOT: and when you went into Manchester .
    CHIthere .
    MOToh and we saw the mini trains , didn't we on Sunday ?
  2. eng_british_Manchester_II/warr16b.cha, line 707 · Warren, 2;3.08
    MOTare they waiting for the train ?
    CHIthe train .
    MOT*MOT: the man climbs into the train .
    MOTwhat does the hippo do when the train comes ?
    CHIgo sleep .
  3. eng_british_Manchester_II/warr16b.cha, line 818 · Warren, 2;3.08
    MOTthere .
    MOTI'm peeling it .
    MOT*MOT: throwing the peel into the bin with great accuracy .
    MOTgone .
    MOTeaten it all up .
  4. eng_british_Manchester_II/warr16b.cha, line 1437 · Warren, 2;3.08
    MOTit'll look like a giraffe with that on mate .
    MOTokay .
    MOT*MOT: let's turn it into a giraffe .
    CHIthere's a horse .
    MOTshall we make it into a jolly ?
  5. eng_british_Manchester_II/warr16b.cha, line 1441 · Warren, 2;3.08
    MOTlet's turn it into a giraffe .
    CHIthere's a horse .
    MOT*MOT: shall we make it into a jolly ?
    MOTa jolly giraffe .
    CHIgiraffe .

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/warr16b.chaWarren 2;3.081,873552.67

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. into5 · 100.0%