PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

8.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (361 utterances, 1,766 words searched).

  1. are you ? MOT · eng_british_Manchester_II/warr12b.cha, line 15 · Warren 2;02
  2. are you making the edge ? MOT · eng_british_Manchester_II/warr12b.cha, line 29 · Warren 2;02
  3. are you turning his head ? MOT · eng_british_Manchester_II/warr12b.cha, line 94 · Warren 2;02
  4. yes there are . MOT · eng_british_Manchester_II/warr12b.cha, line 115 · Warren 2;02
  5. there are two men somewhere . MOT · eng_british_Manchester_II/warr12b.cha, line 117 · Warren 2;02
  6. don't know where these men are , Warren . MOT · eng_british_Manchester_II/warr12b.cha, line 124 · Warren 2;02
  7. are you making another tall tower ? MOT · eng_british_Manchester_II/warr12b.cha, line 668 · Warren 2;02
  8. are you taking elephant out or just uncoupling the [/] the truck . MOT · eng_british_Manchester_II/warr12b.cha, line 750 · Warren 2;02
  9. <the bulls> [/] the bulls are lying down as well . MOT · eng_british_Manchester_II/warr12b.cha, line 775 · Warren 2;02
  10. here are two bulls . MOT · eng_british_Manchester_II/warr12b.cha, line 777 · Warren 2;02
  11. are they sleeping ? MOT · eng_british_Manchester_II/warr12b.cha, line 785 · Warren 2;02
  12. …lways thought you kept orange juice and beer in a fridge but there we are . MOT · eng_british_Manchester_II/warr12b.cha, line 1174 · Warren 2;02
  13. where are those two men going ? MOT · eng_british_Manchester_II/warr12b.cha, line 1187 · Warren 2;02
  14. where are they going on the train ? MOT · eng_british_Manchester_II/warr12b.cha, line 1191 · Warren 2;02
  15. what are we going to do ? MOT · eng_british_Manchester_II/warr12b.cha, line 1302 · Warren 2;02
  1. CHImaking the sides Henry's tunnel .
    CHImaking the sides .
    MOT*MOT: are you ?
    CHImaking the sides Henry .
    MOTright .
  2. CHImaking the edge .
    CHImaking the edge .
    MOT*MOT: are you making the edge ?
    CHIall gone .
    CHIget some more on the step .
  3. CHImen .
    CHImen [*] turn round .
    MOT*MOT: are you turning his head ?
    CHIthe man .
    MOTwhat's the man doing on the arch ?
  4. MOTshall Mummy help you to look ?
    CHItwo mens [*] .
    MOT*MOT: yes there are .
    MOTthere are two men somewhere .
    CHIxxx .
  5. CHItwo mens [*] .
    MOTyes there are .
    MOT*MOT: there are two men somewhere .
    CHIxxx .
    MOToh I thought that was a man but it's a baby tiger .
  6. CHIxxx .
    MOToh I thought that was a man but it's a baby tiger .
    MOT*MOT: don't know where these men are , Warren .
    MOTaah .
    MOThere's one .
  7. CHIlook that's doing .
    CHIxxx doing Henry .
    MOT*MOT: are you making another tall tower ?
    CHItwo towers [*] .
    CHIfind another tower .
  8. CHIxxx driving .
    CHItaking elephant out .
    MOT*MOT: are you taking elephant out or just uncoupling the [/] the truck .
    CHIcoupling the truck .
    MOTcouple them back together .
  9. MOToh no .
    MOTit's got the baby horse .
    MOT*MOT: <the bulls> [/] the bulls are lying down as well .
    MOThere are two bulls .
    CHIwant them lie down .
  10. MOTit's got the baby horse .
    MOT<the bulls> [/] the bulls are lying down as well .
    MOT*MOT: here are two bulls .
    CHIwant them lie down .
    MOToh you want them +//.
  11. MOToh you want them +//.
    MOTwhy ?
    MOT*MOT: are they sleeping ?
    MOTand there's the Mummy horse .
    MOTshe's lying down .
  12. CHIit's fridge .
    CHIfridge .
    MOT*MOT: and I always thought you kept orange juice and beer in a fridge but there we are .
    CHIget two men .
    MOTtrains stay in fridges , do they ?
  13. MOTdo trains go in fridges ?
    CHII get two men .
    MOT*MOT: where are those two men going ?
    CHIon the train .
    MOTwhere are they going on the train ?
  14. MOTwhere are those two men going ?
    CHIon the train .
    MOT*MOT: where are they going on the train ?
    CHIin the side xxx .
    MOTWarren .
  15. CHIstuck .
    MOTit is stuck , isn't it ?
    MOT*MOT: what are we going to do ?
    MOTshall we get the panda to come and give it a push from behind ?
    MOTWarren pull .

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. Warren eng_british_Manchester_II8.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr12b.chaWarren 2;2.051,76615158.49

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. are15 · 100.0%