PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,809 words searched).

  1. alright then . MOT · eng_british_Manchester_II/nic26a.cha, line 102 · Nicole 2;09
  2. alright then . MOT · eng_british_Manchester_II/nic26a.cha, line 602 · Nicole 2;09
  3. alright then . MOT · eng_british_Manchester_II/nic26a.cha, line 608 · Nicole 2;09
  4. alright then . MOT · eng_british_Manchester_II/nic26a.cha, line 672 · Nicole 2;09
  5. alright . MOT · eng_british_Manchester_II/nic26a.cha, line 678 · Nicole 2;09
  6. alright . MOT · eng_british_Manchester_II/nic26a.cha, line 682 · Nicole 2;09
  7. alright now . MOT · eng_british_Manchester_II/nic26a.cha, line 796 · Nicole 2;09
  8. alright . MOT · eng_british_Manchester_II/nic26a.cha, line 861 · Nicole 2;09
  9. that's alright . INV · eng_british_Manchester_II/nic26a.cha, line 1941 · Nicole 2;09
  1. CHIyeah .
    MOTyeah .
    MOT*MOT: alright then .
    MOTwe'll put her jumper and trousers back on then .
    MOTare you going to give her a little wash ?
  2. CHINicole want [/] want to do this .
    MOToh .
    MOT*MOT: alright then .
    MOTyou +...
    CHINicole do .
  3. MOTyou +...
    CHINicole do .
    MOT*MOT: alright then .
    MOTyou do that then .
    MOTxxx .
  4. MOTplease .
    CHIxxx table and that .
    MOT*MOT: alright then .
    MOThave your telephone conversation +/.
    CHIxxx .
  5. MOThave your telephone conversation +/.
    CHIxxx .
    MOT*MOT: alright .
    MOToh .
    MOTalright .
  6. MOTalright .
    MOToh .
    MOT*MOT: alright .
    CHIxxx .
    CHIsilly .
  7. CHIbye .
    CHIright .
    MOT*MOT: alright now .
    MOTwho was it on the telephone ?
    MOTwho was it on the telephone ?
  8. CHIcome .
    CHIcome on outside .
    MOT*MOT: alright .
    MOTwe'll come then .
    MOTwe'll come .
  9. CHINicole want [*] to put it back on .
    CHIagain .
    INV*INV: that's alright .
    CHIput it back on .
    CHIthere .

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. Nicole eng_british_Manchester_II4.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic26a.chaNicole 2;9.171,809994.98

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. alright9 · 100.0%