PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (713 utterances, 2,342 words searched).

  1. two three . MOT · eng_british_Manchester_I/anne04b.cha, line 1518 · Anne 1;11
  2. +" three . MOT · eng_british_Manchester_I/anne04b.cha, line 1665 · Anne 1;11
  3. +" three . MOT · eng_british_Manchester_I/anne04b.cha, line 1693 · Anne 1;11
  4. +" three . MOT · eng_british_Manchester_I/anne04b.cha, line 1747 · Anne 1;11
  5. +" three . MOT · eng_british_Manchester_I/anne04b.cha, line 1771 · Anne 1;11
  6. +" three . MOT · eng_british_Manchester_I/anne04b.cha, line 1806 · Anne 1;11
  7. +" we all jump up with a one two three . MOT · eng_british_Manchester_I/anne04b.cha, line 1868 · Anne 1;11
  8. +" three . RAC · eng_british_Manchester_I/anne04b.cha, line 1898 · Anne 1;11
  9. +" three . MOT · eng_british_Manchester_I/anne04b.cha, line 1900 · Anne 1;11
  1. MOThow many babys are there ?
    CHItwo three .
    MOT*MOT: two three .
    MOT+" Sam can hear a mooing noise .
    MOTwhat can that be ?
  2. MOT+" two .
    CHI+" three .
    MOT*MOT: +" three .
    CHIagain .
    MOTagain .
  3. MOT+" two .
    CHI+" three .
    MOT*MOT: +" three .
    CHIagain .
    MOTagain ?
  4. MOT+" two .
    CHI+" three .
    MOT*MOT: +" three .
    MOToh .
    CHIagain .
  5. CHI+" two .
    MOT+" two .
    MOT*MOT: +" three .
    MOToh .
    MOTI don't know what made you think of that then .
  6. CHI+" two .
    MOT+" two .
    MOT*MOT: +" three .
    MOToh .
    CHIagain .
  7. MOT+" ashes in the water .
    MOT+" ashes in the sea .
    MOT*MOT: +" we all jump up with a one two three .
    MOTdo you think we are all just her for you ?
    MOTone more time of this then .
  8. MOT+" ashes in the sea .
    MOT+" we all jump up with a one two +...
    RAC*RAC: +" three .
    MOT+" three .
    CHIagain .
  9. MOT+" we all jump up with a one two +...
    RAC+" three .
    MOT*MOT: +" three .
    CHIagain .
    MOTwhat about Jingle_Jangle_Scarecrow ?

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_I3.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne04b.chaAnne 1;11.062,342993.84

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. three9 · 100.0%