PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.57 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. for Christmas . MOT · eng_british_Manchester_II/joel16b.cha, line 929 · Joel 2;04
  3. I don't think there'll be enough room for Mummy's big bottom in there . MOT · eng_british_Manchester_II/joel16b.cha, line 953 · Joel 2;04
  4. I think you're moving in for a hug , aren't you ? MOT · eng_british_Manchester_II/joel16b.cha, line 1014 · Joel 2;04
  5. a little clap for the cake . INV · eng_british_Manchester_II/joel16b.cha, line 1082 · Joel 2;04
  6. are you going to pay for it ? MOT · eng_british_Manchester_II/joel16b.cha, line 1120 · Joel 2;04
  7. 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. 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. MOTI'll have to get you a cash register , willn't we ?
    CHIoh .
    MOT*MOT: for Christmas .
    MOTdo you think Santa_Claus will come and bring you some presents ?
    CHIhohoho .
  3. CHIyou coming in , Mummy ?
    CHIyou coming in , Mummy ?
    MOT*MOT: I don't think there'll be enough room for Mummy's big bottom in there .
    INVare you rowing the boat ?
    CHIyes .
  4. MOTnice squeeze .
    INVwhat are you doing ?
    MOT*MOT: I think you're moving in for a hug , aren't you ?
    INVoh nice big hug .
    INVoh .
  5. MOTmmm .
    MOTis that nice ?
    INV*INV: a little clap for the cake .
    MOTyeah .
    MOTlook at you .
  6. MOTthat's a big basket .
    MOTyou've got a lot of shopping .
    MOT*MOT: are you going to pay for it ?
    CHIyeah .
    MOToh right .
  7. 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_II4.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel16b.chaJoel 2;4.021,533774.57

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.

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