PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

11.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (171 utterances, 901 words searched).

  1. we're going to have a shower in a minute with Rayna . MOT · bilingual_eng_Deuchar/870728er.cha, line 80 · M 2;01
  2. no we are not going outside # close the door . MOT · bilingual_eng_Deuchar/870728er.cha, line 116 · M 2;01
  3. yes # shall we write um Rayna's name now ? MOT · bilingual_eng_Deuchar/870728er.cha, line 280 · M 2;01
  4. no we're just going to take a shower actually Lisa . MOT · bilingual_eng_Deuchar/870728er.cha, line 322 · M 2;01
  5. <we have to take> [<] a shower . MOT · bilingual_eng_Deuchar/870728er.cha, line 324 · M 2;01
  6. we'll do David shall we ? MOT · bilingual_eng_Deuchar/870728er.cha, line 471 · M 2;01
  7. we'll do David shall we ? MOT · bilingual_eng_Deuchar/870728er.cha, line 471 · M 2;01
  8. ok you guys I think we should take a shower . MOT · bilingual_eng_Deuchar/870728er.cha, line 511 · M 2;01
  9. <mmm xxx put all these things away shall we> [>] ? MOT · bilingual_eng_Deuchar/870728er.cha, line 516 · M 2;01
  10. yes we're trying to find all the cups . MOT · bilingual_eng_Deuchar/870728er.cha, line 567 · M 2;01
  1. bilingual_eng_Deuchar/870728er.cha, line 80 · M, 2;1.03
    CHIkey .
    MOTI'm coming in a minute ok .
    MOT*MOT: we're going to have a shower in a minute with Rayna .
    CHIyyy .
    MOTyou haven't given me any tea yet .
  2. bilingual_eng_Deuchar/870728er.cha, line 116 · M, 2;1.03
    MOTyes .
    CHIthis dirty .
    MOT*MOT: no we are not going outside # close the door .
    CHInot door # come .
    CHImmm mmm where's the yyy doggy get to bed mmm mmm bed .
  3. bilingual_eng_Deuchar/870728er.cha, line 280 · M, 2;1.03
    CHIgranny grandpa .
    RAYgranny grandpa .
    MOT*MOT: yes # shall we write um Rayna's name now ?
    RAYyeah first <I make you xxx > [>] .
    CHI<make M Rayna # David> [<] Aaron .
  4. bilingual_eng_Deuchar/870728er.cha, line 322 · M, 2;1.03
    LISKaren [?], can I draw you ?
    CHImake .
    MOT*MOT: no we're just going to take a shower actually Lisa .
    LIS<that's ok> [>] .
    MOT<we have to take> [<] a shower .
  5. bilingual_eng_Deuchar/870728er.cha, line 324 · M, 2;1.03
    MOTno we're just going to take a shower actually Lisa .
    LIS<that's ok> [>] .
    MOT*MOT: <we have to take> [<] a shower .
    TON<only Lisa can come> [>] .
    CHI<my dog> [<] .
  6. bilingual_eng_Deuchar/870728er.cha, line 471 · M, 2;1.03
    CHImake [<] Jo .
    MOTI've done Joan .
    MOT*MOT: we'll do David shall we ?
    CHIdo yyy [>] .
    RAYlook [<] I put my own [//] the watch on .
  7. bilingual_eng_Deuchar/870728er.cha, line 511 · M, 2;1.03
    CHIyyy .
    CHIyyy .
    MOT*MOT: ok you guys I think we should take a shower .
    RAYyeah [>] .
    CHImmm [<] take bag shower .
  8. bilingual_eng_Deuchar/870728er.cha, line 516 · M, 2;1.03
    RAYyeah [>] .
    CHImmm [<] take bag shower .
    MOT*MOT: <mmm xxx put all these things away shall we> [>] ?
    CHI<me take> [<] a shower .
    CHIM take shower .
  9. bilingual_eng_Deuchar/870728er.cha, line 567 · M, 2;1.03
    CHIuh uh yyy that's M xxx .
    CHImum M yyy .
    MOT*MOT: yes we're trying to find all the cups .
    MOTthere is a little red one missing .
    MOTlook under the bed and see if it's there .

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. M bilingual_eng_Deuchar11.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870728er.chaM 2;1.0390191011.10

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. we10 · 100.0%