PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,339 words searched).

  1. dore ga magaru ne . %mov:"30327"_26561_27497 FAT · japanese_ishii/30327.cha, line 30 · Jun 3;03
  2. dore ga entotsu ? %mov:"30327"_659665_662241 FAT · japanese_ishii/30327.cha, line 274 · Jun 3;03
  3. dore ga yumi . %mov:"30327"_1104610_1105345 FAT · japanese_ishii/30327.cha, line 491 · Jun 3;03
  4. dore ga ? %mov:"30327"_1242629_1243693 FAT · japanese_ishii/30327.cha, line 563 · Jun 3;03
  5. dore ? %mov:"30327"_2030804_2031689 FAT · japanese_ishii/30327.cha, line 826 · Jun 3;03
  1. japanese_ishii/30327.cha, line 30 · Jun, 3;3.27
    FATe ? %mov:"30327"_23365_24492
    CHIoo, magaru yan ke, hora . %mov:"30327"_24492_26561
    FAT*FAT: dore ga magaru ne . %mov:"30327"_26561_27497
    CHIkore ga . %mov:"30327"_27497_28700
    CHItorakku magan nyan ka . %mov:"30327"_28700_31426
  2. japanese_ishii/30327.cha, line 274 · Jun, 3;3.27
    CHIgacha@o . %mov:"30327"_641384_650368
    CHIentotsu desu . %mov:"30327"_650368_659665
    FAT*FAT: dore ga entotsu ? %mov:"30327"_659665_662241
    CHIentotsu na # kore . %mov:"30327"_662241_664699
    FATe ? %mov:"30327"_664699_665489
  3. japanese_ishii/30327.cha, line 491 · Jun, 3;3.27
    FATyumi ? %mov:"30327"_1103552_1104075
    CHIun . %mov:"30327"_1104075_1104610
    FAT*FAT: dore ga yumi . %mov:"30327"_1104610_1105345
    CHIa, koko . %mov:"30327"_1105345_1106728
    FATa, umi ka . %mov:"30327"_1106728_1106728
  4. japanese_ishii/30327.cha, line 563 · Jun, 3;3.27
    FATun ? %mov:"30327"_1239946_1240593
    CHInande kore taoren [: taoreru] no ? %mov:"30327"_1240593_1242629
    FAT*FAT: dore ga ? %mov:"30327"_1242629_1243693
    CHIanona # jidoosha ga na +... %mov:"30327"_1243693_1247096
    FATun . %mov:"30327"_1247096_1247746
  5. japanese_ishii/30327.cha, line 826 · Jun, 3;3.27
    FATn ? %mov:"30327"_2025037_2027903
    CHIkore shintoite [: shinaide] . %mov:"30327"_2027903_2027903
    FAT*FAT: dore ? %mov:"30327"_2030804_2031689
    CHIxxx . %mov:"30327"_2031689_2033038
    FATe ? %mov:"30327"_2033038_2033709

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. Jun japanese_ishii3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30327.chaJun 3;3.271,339553.73

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. dore5 · 100.0%