PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,521 words searched).

  1. thank you , Nicole . INV · eng_british_Manchester_II/nic08a.cha, line 173 · Nicole 2;03
  2. thank you . INV · eng_british_Manchester_II/nic08a.cha, line 188 · Nicole 2;03
  3. thank you . INV · eng_british_Manchester_II/nic08a.cha, line 246 · Nicole 2;03
  4. thank you . INV · eng_british_Manchester_II/nic08a.cha, line 695 · Nicole 2;03
  5. thank you . MOT · eng_british_Manchester_II/nic08a.cha, line 697 · Nicole 2;03
  6. thank you . MOT · eng_british_Manchester_II/nic08a.cha, line 701 · Nicole 2;03
  7. thank you . MOT · eng_british_Manchester_II/nic08a.cha, line 1474 · Nicole 2;03
  1. MOTcan you give that back to Rachel please ?
    MOTand the folder please .
    INV*INV: thank you , Nicole .
    MOTcan you give the folder to Rachel please ?
    MOTNicole .
  2. CHIbetter .
    CHIaway .
    INV*INV: thank you .
    MOTbetter away .
    MOTthat's right .
  3. MOTwhat's his name ?
    INVcan I have a look at him please ?
    INV*INV: thank you .
    CHIDavid .
    CHIxxx .
  4. MOTdon't do that .
    MOTopen it now please .
    INV*INV: thank you .
    MOTthank you .
    MOTput it back now .
  5. MOTopen it now please .
    INVthank you .
    MOT*MOT: thank you .
    MOTput it back now .
    MOTthank you .
  6. MOTthank you .
    MOTput it back now .
    MOT*MOT: thank you .
    MOTno !
    MOTcome here .
  7. CHIyeah .
    MOTright .
    MOT*MOT: thank you .
    MOTxxx .
    CHIlady .

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_II2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic08a.chaNicole 2;3.032,521772.78

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. thank7 · 100.0%