PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (555 utterances, 2,002 words searched).

  1. well . MOT · eng_british_Manchester_II/nic12b.cha, line 121 · Nicole 2;04
  2. um # well . MOT · eng_british_Manchester_II/nic12b.cha, line 1144 · Nicole 2;04
  3. well . MOT · eng_british_Manchester_II/nic12b.cha, line 1154 · Nicole 2;04
  4. well . MOT · eng_british_Manchester_II/nic12b.cha, line 1546 · Nicole 2;04
  5. well . INV · eng_british_Manchester_II/nic12b.cha, line 1556 · Nicole 2;04
  6. well . MOT · eng_british_Manchester_II/nic12b.cha, line 1568 · Nicole 2;04
  1. CHIand baby cow .
    MOTbaby +//.
    MOT*MOT: well .
    MOTthat's the Mummy cow .
    MOTthe other one's the baby cow .
  2. MOTan onion .
    CHIand that ?
    MOT*MOT: um # well .
    MOTyou tell me what that is .
    CHII juggle .
  3. MOTjuggle ?
    CHIyeah .
    MOT*MOT: well .
    MOTgo on then .
    MOThooray .
  4. MOTyou want to play with the toys ?
    INValright .
    MOT*MOT: well .
    MOTyou play with them while we <put them> [//] start putting them away .
    INVokay .
  5. INVokay .
    CHIno .
    INV*INV: well .
    INVwhat do you want to play with ?
    CHIno way .
  6. MOTNicole do it then .
    CHIno .
    MOT*MOT: well .
    MOTNicole do it then .
    CHIno way .

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_II3.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic12b.chaNicole 2;4.212,002663.00

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. well6 · 100.0%