PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. oh how many vehicles have we got ? MOT · eng_british_Manchester_II/warr07b.cha, line 382 · Warren 2;00
  2. how many vehicles have we got ? MOT · eng_british_Manchester_II/warr07b.cha, line 492 · Warren 2;00
  3. how many vans will we have ? MOT · eng_british_Manchester_II/warr07b.cha, line 1155 · Warren 2;00
  4. how many trains ? MOT · eng_british_Manchester_II/warr07b.cha, line 1171 · Warren 2;00
  5. how many trains ? MOT · eng_british_Manchester_II/warr07b.cha, line 1177 · Warren 2;00
  6. how many vans ? MOT · eng_british_Manchester_II/warr07b.cha, line 1222 · Warren 2;00
  7. how many vans now ? MOT · eng_british_Manchester_II/warr07b.cha, line 1327 · Warren 2;00
  8. how many vans ? MOT · eng_british_Manchester_II/warr07b.cha, line 1335 · Warren 2;00
  1. CHIpark there .
    MOTyeah .
    MOT*MOT: oh how many vehicles have we got ?
    MOTone two three four vehicles .
    MOTa tractor .
  2. MOTpark it next to the train .
    MOTthere we go .
    MOT*MOT: how many vehicles have we got ?
    MOTone two three four five .
    MOTare you going to make an animal ?
  3. CHImake another van .
    MOTmake another another .
    MOT*MOT: how many vans will we have ?
    MOTwe'll have lots of vans .
    CHImake a red plane bus .
  4. CHIanother van .
    CHItrain .
    MOT*MOT: how many trains ?
    CHIthat one .
    MOTand that one .
  5. CHIthat one .
    MOTand that one .
    MOT*MOT: how many trains ?
    CHItwo .
    MOTyeah .
  6. MOTthere's one here and one here .
    MOTand one here .
    MOT*MOT: how many vans ?
    MOTone two three four vans .
    CHItrain 0is [*] coming .
  7. CHIanother van park .
    CHIanother van there .
    MOT*MOT: how many vans now ?
    CHIanother one van coming .
    CHIanother .
  8. CHIanother .
    MOTgood boy .
    MOT*MOT: how many vans ?
    CHIthis is a train there .
    CHIxxx .

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_II3.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244883.57

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. many8 · 100.0%