PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (679 utterances, 2,192 words searched).

  1. train . INV · eng_british_Manchester_II/nic11a.cha, line 58 · Nicole 2;04
  2. a train . MOT · eng_british_Manchester_II/nic11a.cha, line 62 · Nicole 2;04
  3. a train . MOT · eng_british_Manchester_II/nic11a.cha, line 66 · Nicole 2;04
  4. a train . INV · eng_british_Manchester_II/nic11a.cha, line 80 · Nicole 2;04
  5. train . MOT · eng_british_Manchester_II/nic11a.cha, line 1551 · Nicole 2;04
  1. MOTyou're going to make tea , are you ?
    CHItrain .
    INV*INV: train .
    MOToh .
    MOTa train .
  2. INVtrain .
    MOToh .
    MOT*MOT: a train .
    MOTI'm [/] I'm so sorry .
    MOTa train .
  3. MOTa train .
    MOTI'm [/] I'm so sorry .
    MOT*MOT: a train .
    CHIready .
    INVready .
  4. MOTthere we go .
    CHIa train .
    INV*INV: a train .
    CHIoh .
    MOTare you going to roll some more out then ?
  5. CHIduck .
    CHImy train .
    MOT*MOT: train .
    CHItrain .
    MOTand +...

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_II2.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic11a.chaNicole 2;4.182,192552.28

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. train5 · 100.0%