PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,533 words searched).

  1. what are you going to make for me ? MOT · eng_british_Manchester_II/joel16b.cha, line 382 · Joel 2;04
  2. are you going to make me a burger ? MOT · eng_british_Manchester_II/joel16b.cha, line 385 · Joel 2;04
  3. what else do we need to make a burger ? MOT · eng_british_Manchester_II/joel16b.cha, line 411 · Joel 2;04
  4. can you find the other bit of bread to make the burger ? MOT · eng_british_Manchester_II/joel16b.cha, line 461 · Joel 2;04
  5. so it's alright for you to make a mess but not to clear it up ? MOT · eng_british_Manchester_II/joel16b.cha, line 1208 · Joel 2;04
  1. eng_british_Manchester_II/joel16b.cha, line 382 · Joel, 2;4.02
    MOTxxx .
    CHII make for you .
    MOT*MOT: what are you going to make for me ?
    MOTare you going to make me a burger ?
    CHIwhere's the burger ?
  2. eng_british_Manchester_II/joel16b.cha, line 385 · Joel, 2;4.02
    CHII make for you .
    MOTwhat are you going to make for me ?
    MOT*MOT: are you going to make me a burger ?
    CHIwhere's the burger ?
    CHIwhere's the burger ?
  3. eng_british_Manchester_II/joel16b.cha, line 411 · Joel, 2;4.02
    CHIthere's the lettuce .
    MOTthat's right .
    MOT*MOT: what else do we need to make a burger ?
    CHIxxx .
    MOTcan you find the meat ?
  4. eng_british_Manchester_II/joel16b.cha, line 461 · Joel, 2;4.02
    MOTwe don't want them to break , do we ?
    MOTor we'd get egg all over the floor .
    MOT*MOT: can you find the other bit of bread to make the burger ?
    MOTwe need another one of these , don't we ?
    CHIsticky+bun .
  5. eng_british_Manchester_II/joel16b.cha, line 1208 · Joel, 2;4.02
    CHInot .
    MOToh .
    MOT*MOT: so it's alright for you to make a mess but not to clear it up ?
    CHIno .
    INVcan you help me with this ?

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. Joel eng_british_Manchester_II3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel16b.chaJoel 2;4.021,533553.26

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. make5 · 100.0%