PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (659 utterances, 2,240 words searched).

  1. you've not had a burger in ages . MOT · eng_british_Manchester_I/domin16b.cha, line 573 · Dominic 2;04
  2. you need the burger , don't you ? MOT · eng_british_Manchester_I/domin16b.cha, line 903 · Dominic 2;04
  3. so now you need to get the burger . MOT · eng_british_Manchester_I/domin16b.cha, line 923 · Dominic 2;04
  4. so find the burger . MOT · eng_british_Manchester_I/domin16b.cha, line 925 · Dominic 2;04
  5. find the burger . MOT · eng_british_Manchester_I/domin16b.cha, line 933 · Dominic 2;04
  6. you've still got to find the burger . MOT · eng_british_Manchester_I/domin16b.cha, line 939 · Dominic 2;04
  7. so you find the burger . MOT · eng_british_Manchester_I/domin16b.cha, line 943 · Dominic 2;04
  8. and then it's a complete beef+burger with cheese . MOT · eng_british_Manchester_I/domin16b.cha, line 945 · Dominic 2;04
  9. have you found the burger yet ? MOT · eng_british_Manchester_I/domin16b.cha, line 956 · Dominic 2;04
  1. eng_british_Manchester_I/domin16b.cha, line 573 · Dominic, 2;4.04
    CHII have burger .
    CHII [/] I have burger .
    MOT*MOT: you've not had a burger in ages .
    MOTin fact I don't think you've ever had one .
    CHIxxx .
  2. eng_british_Manchester_I/domin16b.cha, line 903 · Dominic, 2;4.04
    MOTwell .
    MOTthat's the bread .
    MOT*MOT: you need the burger , don't you ?
    CHImmhm .
    MOToh dear .
  3. eng_british_Manchester_I/domin16b.cha, line 923 · Dominic, 2;4.04
    MOTthat's the cheese .
    MOTyes .
    MOT*MOT: so now you need to get the burger .
    MOTso find the burger .
    CHIthat orange .
  4. eng_british_Manchester_I/domin16b.cha, line 925 · Dominic, 2;4.04
    MOTyes .
    MOTso now you need to get the burger .
    MOT*MOT: so find the burger .
    CHIthat orange .
    MOTthat's orange .
  5. eng_british_Manchester_I/domin16b.cha, line 933 · Dominic, 2;4.04
    MOTthat's orange .
    MOTyes .
    MOT*MOT: find the burger .
    MOTright .
    MOTyou need +//.
  6. eng_british_Manchester_I/domin16b.cha, line 939 · Dominic, 2;4.04
    MOTright .
    MOTyou need +//.
    MOT*MOT: you've still got to find the burger .
    MOTthen we can make it up .
    MOTso you find the burger .
  7. eng_british_Manchester_I/domin16b.cha, line 943 · Dominic, 2;4.04
    MOTyou've still got to find the burger .
    MOTthen we can make it up .
    MOT*MOT: so you find the burger .
    MOTand then it's a complete beef+burger with cheese .
    MOTor cheeseburger <as they> [>] call them .
  8. eng_british_Manchester_I/domin16b.cha, line 945 · Dominic, 2;4.04
    MOTthen we can make it up .
    MOTso you find the burger .
    MOT*MOT: and then it's a complete beef+burger with cheese .
    MOTor cheeseburger <as they> [>] call them .
    CHImake [<] .
  9. eng_british_Manchester_I/domin16b.cha, line 956 · Dominic, 2;4.04
    CHImake it up .
    MOTmmhm .
    MOT*MOT: have you found the burger yet ?
    CHIthat car .
    MOTyou're not looking for it now , are you ?

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. Dominic eng_british_Manchester_I4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin16b.chaDominic 2;4.042,240994.02

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. burger9 · 100.0%