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. I'm gonna [: going to] look and see if I can see Munching_Mike . MOT · eng_british_Manchester_I/anne25a.cha, line 770 · Anne 2;06
  2. I'm gonna [: going to] look for Munching_Mike . MOT · eng_british_Manchester_I/anne25a.cha, line 773 · Anne 2;06
  3. is this one Munching_Mike ? MOT · eng_british_Manchester_I/anne25a.cha, line 786 · Anne 2;06
  4. you've probably gone past Munching_Mike . MOT · eng_british_Manchester_I/anne25a.cha, line 883 · Anne 2;06
  5. you've probably already gone past Munching_Mike . MOT · eng_british_Manchester_I/anne25a.cha, line 892 · Anne 2;06
  6. don't you want Munching_Mike ? MOT · eng_british_Manchester_I/anne25a.cha, line 907 · Anne 2;06
  7. looks like a Munching_Mike that does . MOT · eng_british_Manchester_I/anne25a.cha, line 1448 · Anne 2;06
  8. that's a big Munching_Mike . MOT · eng_british_Manchester_I/anne25a.cha, line 1453 · Anne 2;06
  9. you've got a Munching_Mike in your name ,, haven't you ? MOT · eng_british_Manchester_I/anne25a.cha, line 1568 · Anne 2;06
  10. Munching_Mike goes up the mountain ,, doesn't he ? MOT · eng_british_Manchester_I/anne25a.cha, line 1645 · Anne 2;06
  11. is it a Munching_Mike ? MOT · eng_british_Manchester_I/anne25a.cha, line 1770 · Anne 2;06
  1. MOTno ?
    MOTwell .
    MOT*MOT: I'm gonna [: going to] look and see if I can see Munching_Mike .
    MOTI'm gonna [: going to] look for Munching_Mike .
    MOTis he here ?
  2. MOTwell .
    MOTI'm gonna [: going to] look and see if I can see Munching_Mike .
    MOT*MOT: I'm gonna [: going to] look for Munching_Mike .
    MOTis he here ?
    CHIno .
  3. MOTthis is Annie_Apple ,, is it ?
    MOToh .
    MOT*MOT: is this one Munching_Mike ?
    CHIno .
    MOTwho's that then ?
  4. CHIyellow .
    CHIno .
    MOT*MOT: you've probably gone past Munching_Mike .
    MOTturn them over one +//.
    MOTthat's it .
  5. MOTthat's it .
    MOTone page xxx .
    MOT*MOT: you've probably already gone past Munching_Mike .
    MOTthere .
    MOTjust a minute .
  6. CHIoh .
    MOToh .
    MOT*MOT: don't you want Munching_Mike ?
    CHIno .
    MOTwho're you looking for ?
  7. MOTdoes it ?
    MOTI thought it said Daddy .
    MOT*MOT: looks like a Munching_Mike that does .
    MOTthat's a big Munching_Mike .
    MOToh right .
  8. MOTI thought it said Daddy .
    MOTlooks like a Munching_Mike that does .
    MOT*MOT: that's a big Munching_Mike .
    MOToh right .
    MOTokay .
  9. 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 .
  10. MOToh .
    MOTit looks like a mountain .
    MOT*MOT: Munching_Mike goes up the mountain ,, doesn't he ?
    CHIdo it again .
    MOTdo what again ?
  11. MOTvery good .
    CHIMunching_Mike .
    MOT*MOT: is it a Munching_Mike ?
    MOTlooks like lots of dots .
    MOTdot [x 2] .

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. munching_mike11 · 100.0%