PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. because we've got two trains in there , haven't we that we can make . MOT · eng_british_Manchester_II/warr07b.cha, line 222 · Warren 2;00
  2. one two three four vehicles . MOT · eng_british_Manchester_II/warr07b.cha, line 384 · Warren 2;00
  3. one two three four five . MOT · eng_british_Manchester_II/warr07b.cha, line 494 · Warren 2;00
  4. two three . MOT · eng_british_Manchester_II/warr07b.cha, line 600 · Warren 2;00
  5. and there's two little buss . MOT · eng_british_Manchester_II/warr07b.cha, line 918 · Warren 2;00
  6. just two . MOT · eng_british_Manchester_II/warr07b.cha, line 1188 · Warren 2;00
  7. one two . MOT · eng_british_Manchester_II/warr07b.cha, line 1190 · Warren 2;00
  8. one two three four vans . MOT · eng_british_Manchester_II/warr07b.cha, line 1224 · Warren 2;00
  9. two vans park there . MOT · eng_british_Manchester_II/warr07b.cha, line 1319 · Warren 2;00
  1. MOTmake another train .
    MOTyes .
    MOT*MOT: because we've got two trains in there , haven't we that we can make .
    MOTwhoops .
    MOTwhat's happened ?
  2. MOTyeah .
    MOToh how many vehicles have we got ?
    MOT*MOT: one two three four vehicles .
    MOTa tractor .
    MOTa plane .
  3. MOTthere we go .
    MOThow many vehicles have we got ?
    MOT*MOT: one two three four five .
    MOTare you going to make an animal ?
    MOTwe've got lots of vehicles .
  4. MOTokay .
    MOTare you going to cut out whatever it is you're going to cut out or are you just going to make patterns in it ?
    MOT*MOT: two three .
    MOTfour five six seven eight nine ten eleven twelve thirteen fourteen fifteen sixteen .
    MOTwhat a lot of holes .
  5. MOTand there's a little tent .
    MOTand a river .
    MOT*MOT: and there's two little buss .
    MOTand there's some mountains .
    MOTand an ice+cap .
  6. CHIthree train [*] .
    MOTno .
    MOT*MOT: just two .
    MOTone two .
    CHIgoes in there .
  7. MOTno .
    MOTjust two .
    MOT*MOT: one two .
    CHIgoes in there .
    MOTyeah .
  8. MOTand one here .
    MOThow many vans ?
    MOT*MOT: one two three four vans .
    CHItrain 0is [*] coming .
    MOToh yes .
  9. CHItwo vans park there .
    MOTyeah .
    MOT*MOT: two vans park there .
    CHIanother park there .
    CHIanother van park .

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_II4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244994.01

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. two9 · 100.0%