PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

4.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 2,050 words searched).

  1. well we'll do two because I've made enough space for two . MOT · eng_british_Manchester_II/warr28a.cha, line 105 · Warren 2;07
  2. well we'll do two because I've made enough space for two . MOT · eng_british_Manchester_II/warr28a.cha, line 105 · Warren 2;07
  3. so we'll do two . MOT · eng_british_Manchester_II/warr28a.cha, line 108 · Warren 2;07
  4. two feet . MOT · eng_british_Manchester_II/warr28a.cha, line 191 · Warren 2;07
  5. one two three four five . MOT · eng_british_Manchester_II/warr28a.cha, line 232 · Warren 2;07
  6. one two three four little ones . MOT · eng_british_Manchester_II/warr28a.cha, line 265 · Warren 2;07
  7. two o@l-s . MOT · eng_british_Manchester_II/warr28a.cha, line 619 · Warren 2;07
  8. two o@l for Olivers actually . MOT · eng_british_Manchester_II/warr28a.cha, line 629 · Warren 2;07
  9. one two . MOT · eng_british_Manchester_II/warr28a.cha, line 631 · Warren 2;07
  10. there's two ears . MOT · eng_british_Manchester_II/warr28a.cha, line 810 · Warren 2;07
  1. CHIdo one foot .
    CHIdo one foot .
    MOT*MOT: well we'll do two because I've made enough space for two .
    MOTso we'll do two .
    CHII do one .
  2. CHIdo one foot .
    MOTwell we'll do two because I've made enough space for two .
    MOT*MOT: so we'll do two .
    CHII do one .
    MOTokay .
  3. MOTand off again .
    MOTthere .
    MOT*MOT: two feet .
    CHIxxx .
    MOToh .
  4. MOTyou prodded your foot .
    MOTyou could do a little prod where each of your toes are .
    MOT*MOT: one two three four five .
    CHIand a toe there .
    MOToh yes .
  5. CHIand a big one .
    MOTthat's right .
    MOT*MOT: one two three four little ones .
    MOTand the big one .
    CHIyeah .
  6. CHIo@l .
    CHIo@l for Imogen .
    MOT*MOT: two o@l-s .
    CHIo@l for Imogen and o@l for Oliver .
    MOTi@l for Imogen and o@l for Oliver .
  7. MOTi@l for Imogen and o@l for Oliver .
    CHIyes .
    MOT*MOT: two o@l for Olivers actually .
    MOTone two .
    CHIand a m@l for Mummy .
  8. CHIyes .
    MOTtwo o@l for Olivers actually .
    MOT*MOT: one two .
    CHIand a m@l for Mummy .
    MOTwhere's the m@l for Mummy ?
  9. MOTdoes he ?
    MOTdoes he need lots of hair or a little bit ?
    MOT*MOT: there's two ears .
    MOTshall Mummy put some hair on Daddy ?
    CHIyes .

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_II4.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr28a.chaWarren 2;7.122,0509104.88

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. two10 · 100.0%