PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 2,859 words searched).

  1. yes # those are men # but what are they doing ? MOT · eng_USA_Brown/adam02.cha, line 314 · Adam 2;03
  2. yes # those are men # but what are they doing ? MOT · eng_USA_Brown/adam02.cha, line 317 · Adam 2;03
  3. +" men ? MOT · eng_USA_Brown/adam02.cha, line 325 · Adam 2;03
  4. +" until he met how many men ? MOT · eng_USA_Brown/adam02.cha, line 1185 · Adam 2;03
  5. three [!!] men . MOT · eng_USA_Brown/adam02.cha, line 1190 · Adam 2;03
  6. that's one of the men . MOT · eng_USA_Brown/adam02.cha, line 1195 · Adam 2;03
  7. no # I don't think those two men can . MOT · eng_USA_Brown/adam02.cha, line 1461 · Adam 2;03
  8. men . MOT · eng_USA_Brown/adam02.cha, line 1850 · Adam 2;03
  1. MOTknow what kind that is ?
    CHIman .
    MOT*MOT: yes # those are men # but what are they doing ?
    MOTyes # those are men # but what are they doing ?
    MOTdo you know what that is ?
  2. CHIman .
    MOTyes # those are men # but what are they doing ?
    MOT*MOT: yes # those are men # but what are they doing ?
    MOTdo you know what that is ?
    CHImen .
  3. MOTdo you know what that is ?
    CHImen .
    MOT*MOT: +" men ?
    MOTyou don't know ?
    MOTthat's the mail car .
  4. CHIread dat .
    MOT0 +"/.
    MOT*MOT: +" until he met how many men ?
    CHItwo men .
    MOTthree [!!] men .
  5. MOT+" until he met how many men ?
    CHItwo men .
    MOT*MOT: three [!!] men .
    CHIwho dat ?
    MOTthat's one of the men .
  6. MOTthree [!!] men .
    CHIwho dat ?
    MOT*MOT: that's one of the men .
    CHIwho dat ?
    CHIread dat ?
  7. MOTyou can't take his nose off .
    CHItoo_man@c take no(se) off ?
    MOT*MOT: no # I don't think those two men can .
    CHItake lion no(se) off ?
    MOTno # you can't take the lion's nose off .
  8. MOTall the king's horses and all the king's +...
    CHI+, horse .
    MOT*MOT: men .
    CHIhorse .
    MOTcould not put +...

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. Adam eng_USA_Brown2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam02.chaAdam 2;3.182,859882.80

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. men8 · 100.0%