PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,586 words searched).

  1. thank you . MOT · eng_british_Manchester_I/becky01a.cha, line 1082 · Becky 2;00
  2. thank you . MOT · eng_british_Manchester_I/becky01a.cha, line 1114 · Becky 2;00
  3. thank you . MOT · eng_british_Manchester_I/becky01a.cha, line 1334 · Becky 2;00
  4. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1419 · Becky 2;00
  5. oh that's [//] thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1441 · Becky 2;00
  6. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1445 · Becky 2;00
  7. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1483 · Becky 2;00
  8. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1485 · Becky 2;00
  9. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1567 · Becky 2;00
  10. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1588 · Becky 2;00
  11. thank you . INV · eng_british_Manchester_I/becky01a.cha, line 1628 · Becky 2;00
  1. MOTI'm sitting on it .
    CHIxxx .
    MOT*MOT: thank you .
    MOTwhat are you eating ?
    CHIum # xxx .
  2. MOTis that good ?
    MOToh .
    MOT*MOT: thank you .
    CHIxxx lady .
    INVI [/] I'm a bit far away .
  3. MOTwant to cut something up ?
    MOTfor me ?
    MOT*MOT: thank you .
    CHIum # me .
    CHIum # finished .
  4. CHIxxx .
    INVxxx .
    INV*INV: thank you .
    CHIxxx .
    MOTpardon ?
  5. MOThmm ?
    MOTwww .
    INV*INV: oh that's [//] thank you .
    INVI'm full now .
    INVthank you .
  6. INVoh that's [//] thank you .
    INVI'm full now .
    INV*INV: thank you .
    MOTI think it's all gone .
    MOTis it all gone ?
  7. MOTdo you like pasta ?
    MOTbe careful with that .
    INV*INV: thank you .
    INVthank you .
    MOTI think we've had enough pasta .
  8. MOTbe careful with that .
    INVthank you .
    INV*INV: thank you .
    MOTI think we've had enough pasta .
    MOTwhat about something else ?
  9. MOTthat's nice .
    CHIxxx .
    INV*INV: thank you .
    MOTyou have a piece now .
    MOTyou have a piece .
  10. CHIanother piece .
    MOTanother piece ?
    INV*INV: thank you .
    CHIbuns .
    MOTand what's in there ?
  11. MOTeat it .
    CHImore .
    INV*INV: thank you .
    MOTwhat's that ?
    CHIxxx .

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. Becky eng_british_Manchester_I6.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01a.chaBecky 2;0.071,58611116.94

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%