PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. going to put a white one on ? MOT · eng_british_Manchester_II/warr16b.cha, line 58 · Warren 2;03
  2. and we saw all those steam machines going with steam and smoke coming out . MOT · eng_british_Manchester_II/warr16b.cha, line 260 · Warren 2;03
  3. where's that monkey going to go ? MOT · eng_british_Manchester_II/warr16b.cha, line 310 · Warren 2;03
  4. oh what a lucky man going to the seaside . MOT · eng_british_Manchester_II/warr16b.cha, line 733 · Warren 2;03
  5. what's he going to do there ? MOT · eng_british_Manchester_II/warr16b.cha, line 736 · Warren 2;03
  6. going to eat it all up . MOT · eng_british_Manchester_II/warr16b.cha, line 812 · Warren 2;03
  7. where are you going ? MOT · eng_british_Manchester_II/warr16b.cha, line 1266 · Warren 2;03
  1. MOTthat one's perfect , isn't it ?
    MOTand it's the same color as the other one .
    MOT*MOT: going to put a white one on ?
    CHIthat one .
    MOTwhat color is it ?
  2. MOTdo you remember ?
    CHIremember .
    MOT*MOT: and we saw all those steam machines going with steam and smoke coming out .
    MOTand pistons moving .
    CHIyes .
  3. MOTyes .
    CHIxxx .
    MOT*MOT: where's that monkey going to go ?
    CHIon the shelf .
    MOTon the roof ?
  4. CHIxxx .
    CHIhe go to seaside .
    MOT*MOT: oh what a lucky man going to the seaside .
    MOTwhat's he going to do there ?
    CHIhis bucket spade .
  5. CHIhe go to seaside .
    MOToh what a lucky man going to the seaside .
    MOT*MOT: what's he going to do there ?
    CHIhis bucket spade .
    CHIhis bucket and spade .
  6. MOTthank you sweetheart .
    CHIMummy eat it all up .
    MOT*MOT: going to eat it all up .
    MOTthere .
    MOTI'm peeling it .
  7. MOTconsidering .
    MOTI know it's not got ears but you can't have everything .
    MOT*MOT: where are you going ?
    MOTno .
    MOTcome back .

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_II3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr16b.chaWarren 2;3.081,873773.74

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. going7 · 100.0%