PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,524 words searched).

  1. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 76 · Becky 2;08
  2. thank you . INV · eng_british_Manchester_I/becky26a.cha, line 583 · Becky 2;08
  3. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 715 · Becky 2;08
  4. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 1317 · Becky 2;08
  5. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 1331 · Becky 2;08
  6. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 1353 · Becky 2;08
  7. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 1496 · Becky 2;08
  8. oh thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 1516 · Becky 2;08
  9. thank you . MOT · eng_british_Manchester_I/becky26a.cha, line 1556 · Becky 2;08
  1. MOTgo on .
    MOThave a cup .
    MOT*MOT: thank you .
    MOTright .
    MOTput that on +//.
  2. CHIyeah .
    MOTyou've got lots of plums .
    INV*INV: thank you .
    CHIright .
    CHIwhere's my plum ?
  3. CHIhave some of these .
    CHIhave one .
    MOT*MOT: thank you .
    CHIone two three four five six .
    MOTno .
  4. CHIdinner for you .
    MOToh .
    MOT*MOT: thank you .
    CHIhave you have [*] a spoon ?
    MOTI haven't got a spoon .
  5. CHIxxx .
    CHIspoon .
    MOT*MOT: thank you .
    MOTwhoops .
    CHIyou eat it with peas .
  6. MOTnearly lost it .
    MOTvery nice , Becky .
    MOT*MOT: thank you .
    CHIthat's alright .
    CHI<can I> [//] can you make some of that ?
  7. MOTis that what they are ?
    CHIyeah .
    MOT*MOT: thank you .
    MOTgoodness me .
    MOTwhat a lot I've got to eat .
  8. CHIyeah .
    MOTcan I ?
    MOT*MOT: oh thank you .
    CHIxxx .
    CHInow .
  9. MOTyes .
    MOTI did eat it .
    MOT*MOT: thank you .
    CHII'm a bit full .
    CHIhave some my juice .

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_I5.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky26a.chaBecky 2;8.301,524995.91

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. thank9 · 100.0%