PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (535 utterances, 1,772 words searched).

  1. thank you . MOT · eng_british_Manchester_II/joel32b.cha, line 1493 · Joel 2;09
  2. thank you very much . MOT · eng_british_Manchester_II/joel32b.cha, line 1497 · Joel 2;09
  3. thank you . MOT · eng_british_Manchester_II/joel32b.cha, line 1569 · Joel 2;09
  4. thank you . INV · eng_british_Manchester_II/joel32b.cha, line 1601 · Joel 2;09
  5. thank you . MOT · eng_british_Manchester_II/joel32b.cha, line 1767 · Joel 2;09
  1. MOThang on then .
    MOTxxx .
    MOT*MOT: thank you .
    CHIthank you very much .
    MOTthank you very much .
  2. MOTthank you .
    CHIthank you very much .
    MOT*MOT: thank you very much .
    MOTerr .
    CHIachoo .
  3. MOTis that my ticket ?
    CHIyeah .
    MOT*MOT: thank you .
    CHIright .
    MOTxxx .
  4. MOTwow .
    INVoh .
    INV*INV: thank you .
    INVgreen .
    INVI like green .
  5. MOToh .
    MOTcan I have green today ?
    MOT*MOT: thank you .
    CHIyeah .
    MOTwhat about Caroline ?

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. Joel eng_british_Manchester_II2.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel32b.chaJoel 2;9.201,772552.82

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. thank5 · 100.0%