PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (574 utterances, 1,799 words searched).

  1. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 682 · Anne 1;11
  2. thank you . INV · eng_british_Manchester_I/anne03b.cha, line 686 · Anne 1;11
  3. thank you . RAC · eng_british_Manchester_I/anne03b.cha, line 690 · Anne 1;11
  4. oh thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 876 · Anne 1;11
  5. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 927 · Anne 1;11
  6. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 939 · Anne 1;11
  7. thank you very much . MOT · eng_british_Manchester_I/anne03b.cha, line 1340 · Anne 1;11
  8. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 1342 · Anne 1;11
  9. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 1344 · Anne 1;11
  10. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 1346 · Anne 1;11
  11. thank you . MOT · eng_british_Manchester_I/anne03b.cha, line 1348 · Anne 1;11
  1. MOTthat's grapes .
    MOTpretend .
    MOT*MOT: thank you .
    MOTsome for Caroline .
    INVthank you .
  2. MOTthank you .
    MOTsome for Caroline .
    INV*INV: thank you .
    MOTand some for Rachel ?
    RACthank you .
  3. INVthank you .
    MOTand some for Rachel ?
    RAC*RAC: thank you .
    RACyum .
    MOTand some for Anne .
  4. MOT+" can I have a banana please ?
    CHIhere .
    MOT*MOT: oh thank you .
    MOTsome biscuits .
    INVcat+food .
  5. MOTyuck .
    MOTcan you wipe my fingers please ?
    MOT*MOT: thank you .
    CHIoh .
    MOToh .
  6. MOT+" they're all sticky .
    MOTwill you wipe my fingers please ?
    MOT*MOT: thank you .
    CHIlook .
    MOThe likes those .
  7. MOTthat's it .
    CHIthere .
    MOT*MOT: thank you very much .
    MOTthank you .
    MOTthank you .
  8. CHIthere .
    MOTthank you very much .
    MOT*MOT: thank you .
    MOTthank you .
    MOTthank you .
  9. MOTthank you very much .
    MOTthank you .
    MOT*MOT: thank you .
    MOTthank you .
    MOTthank you .
  10. MOTthank you .
    MOTthank you .
    MOT*MOT: thank you .
    MOTthank you .
    MOTare you giving me a five ?
  11. MOTthank you .
    MOTthank you .
    MOT*MOT: thank you .
    MOTare you giving me a five ?
    CHIfive .

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. Anne eng_british_Manchester_I6.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne03b.chaAnne 1;11.041,79911116.11

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. thank11 · 100.0%