PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,821 words searched).

  1. the men over the road wear hats like that . MOT · eng_british_Manchester_II/warr04b.cha, line 345 · Warren 1;11
  2. you take it off over her arms and her hands . MOT · eng_british_Manchester_II/warr04b.cha, line 613 · Warren 1;11
  3. they've all fallen over again . MOT · eng_british_Manchester_II/warr04b.cha, line 1002 · Warren 1;11
  4. they've gone all over the floor now , haven't they ? INV · eng_british_Manchester_II/warr04b.cha, line 1168 · Warren 1;11
  5. I don't want you lounging about over me with a horrible nose . MOT · eng_british_Manchester_II/warr04b.cha, line 1286 · Warren 1;11
  1. eng_british_Manchester_II/warr04b.cha, line 345 · Warren, 1;11.04
    MOTyou look lovely .
    MOTthat's a builder's hat , isn't it ?
    MOT*MOT: the men over the road wear hats like that .
    CHIxxx .
    MOTwhat're you going to do now then ?
  2. eng_british_Manchester_II/warr04b.cha, line 613 · Warren, 1;11.04
    MOTyou have to unthread her arms .
    MOTit's like when you take your clothes off you have to take your arms out , don't you ?
    MOT*MOT: you take it off over her arms and her hands .
    MOTgently .
    MOTnow gently take the other arm out .
  3. eng_british_Manchester_II/warr04b.cha, line 1002 · Warren, 1;11.04
    MOTred orange yellow green blue .
    MOTah no .
    MOT*MOT: they've all fallen over again .
    CHIno no Mummy .
    CHIno .
  4. eng_british_Manchester_II/warr04b.cha, line 1168 · Warren, 1;11.04
    CHIWarren bash .
    INVyes you did .
    INV*INV: they've gone all over the floor now , haven't they ?
    MOTwhy don't you pick [//] collect your bricks up and put them back in the brick box ?
    CHIno .
  5. eng_british_Manchester_II/warr04b.cha, line 1286 · Warren, 1;11.04
    MOTjust a second .
    MOTjust let me wipe your nose .
    MOT*MOT: I don't want you lounging about over me with a horrible nose .
    MOTblow .
    MOTthat's better , isn't it ?

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_II2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr04b.chaWarren 1;11.041,821552.75

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. over5 · 100.0%