PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,355 words searched).

  1. whose name starts with golden+girl ? MOT · eng_british_Manchester_I/anne25a.cha, line 856 · Anne 2;06
  2. are you gonna [: going to] write his name at the bottom ? MOT · eng_british_Manchester_I/anne25a.cha, line 1433 · Anne 2;06
  3. shall we write your name now then ? MOT · eng_british_Manchester_I/anne25a.cha, line 1465 · Anne 2;06
  4. at the beginning of your name ? MOT · eng_british_Manchester_I/anne25a.cha, line 1483 · Anne 2;06
  5. you want me to do my name first . MOT · eng_british_Manchester_I/anne25a.cha, line 1489 · Anne 2;06
  6. there's lots of Munching_Mikes in my name ,, isn't there ? MOT · eng_british_Manchester_I/anne25a.cha, line 1495 · Anne 2;06
  7. that's in Caitlin's name . MOT · eng_british_Manchester_I/anne25a.cha, line 1520 · Anne 2;06
  8. but it's in Mummy's name as well . MOT · eng_british_Manchester_I/anne25a.cha, line 1522 · Anne 2;06
  9. and Anne's name . MOT · eng_british_Manchester_I/anne25a.cha, line 1525 · Anne 2;06
  10. do your name now . MOT · eng_british_Manchester_I/anne25a.cha, line 1541 · Anne 2;06
  11. you've got a Munching_Mike in your name ,, haven't you ? MOT · eng_british_Manchester_I/anne25a.cha, line 1568 · Anne 2;06
  1. eng_british_Manchester_I/anne25a.cha, line 856 · Anne, 2;6.29
    MOTand who's that ?
    CHIgolden+girl .
    MOT*MOT: whose name starts with golden+girl ?
    CHIGrandma and Grandad .
    MOTthat's right .
  2. eng_british_Manchester_I/anne25a.cha, line 1433 · Anne, 2;6.29
    CHIthere .
    MOTis that one done ?
    MOT*MOT: are you gonna [: going to] write his name at the bottom ?
    CHIDippy_Duck .
    MOTthat's it .
  3. eng_british_Manchester_I/anne25a.cha, line 1465 · Anne, 2;6.29
    MOTshall we do some more writing ?
    CHIyes please .
    MOT*MOT: shall we write your name now then ?
    CHIyes .
    CHImy name .
  4. eng_british_Manchester_I/anne25a.cha, line 1483 · Anne, 2;6.29
    MOTwhat shall I write at the beginning then ?
    CHIMunching_Mike .
    MOT*MOT: at the beginning of your name ?
    CHIyou do your name first .
    MOToh .
  5. eng_british_Manchester_I/anne25a.cha, line 1489 · Anne, 2;6.29
    CHIyou do your name first .
    MOToh .
    MOT*MOT: you want me to do my name first .
    MOTthere we are then .
    CHIMunching_Mike .
  6. eng_british_Manchester_I/anne25a.cha, line 1495 · Anne, 2;6.29
    MOTthere we are then .
    CHIMunching_Mike .
    MOT*MOT: there's lots of Munching_Mikes in my name ,, isn't there ?
    CHIyeah .
    CHIoh .
  7. eng_british_Manchester_I/anne25a.cha, line 1520 · Anne, 2;6.29
    MOTshall I write Caitlin ?
    CHIthat's Caitlin .
    MOT*MOT: that's in Caitlin's name .
    MOTbut it's in Mummy's name as well .
    MOTand Anne's name .
  8. eng_british_Manchester_I/anne25a.cha, line 1522 · Anne, 2;6.29
    CHIthat's Caitlin .
    MOTthat's in Caitlin's name .
    MOT*MOT: but it's in Mummy's name as well .
    MOTand Anne's name .
    MOTthat's the yoyo+man ,, isn't it ?
  9. eng_british_Manchester_I/anne25a.cha, line 1525 · Anne, 2;6.29
    MOTthat's in Caitlin's name .
    MOTbut it's in Mummy's name as well .
    MOT*MOT: and Anne's name .
    MOTthat's the yoyo+man ,, isn't it ?
    CHIdo mine's [*] on the bottom .
  10. eng_british_Manchester_I/anne25a.cha, line 1541 · Anne, 2;6.29
    MOTbetter ?
    CHIdo my name .
    MOT*MOT: do your name now .
    CHIyou do my name with this pen .
    MOToh right .
  11. eng_british_Manchester_I/anne25a.cha, line 1568 · Anne, 2;6.29
    MOTwhat've I done wrong ?
    CHII haven't got one .
    MOT*MOT: you've got a Munching_Mike in your name ,, haven't you ?
    CHII haven't .
    CHII've just got a Anne .

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. Anne eng_british_Manchester_I4.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,35511114.67

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. name11 · 100.0%