PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (785 utterances, 2,003 words searched).

  1. un, noremasen wa . %mov:"21029"_453406_454808 FAT · japanese_ishii/21029.cha, line 273 · Jun 2;10
  2. noremasen wa . %mov:"21029"_661180_662220 FAT · japanese_ishii/21029.cha, line 382 · Jun 2;10
  3. moo noremasen wa . %mov:"21029"_3466211_3467444 FAT · japanese_ishii/21029.cha, line 1655 · Jun 2;10
  4. noremasen . %mov:"21029"_3475460_3476455 FAT · japanese_ishii/21029.cha, line 1660 · Jun 2;10
  5. noremasen . %mov:"21029"_3479809_3480689 FAT · japanese_ishii/21029.cha, line 1663 · Jun 2;10
  1. FATnna [: dewa] noremaseen . %mov:"21029"_449354_450483
    CHIkono kuruma noremasen ? %mov:"21029"_450483_453406
    FAT*FAT: un, noremasen wa . %mov:"21029"_453406_454808
    CHIuun@o . %mov:"21029"_454808_456002
    CHIhai, kono jidoosha ga kimashita . %mov:"21029"_456002_461543
  2. FATaitenai yan,, mada . %mov:"21029"_657937_659170
    CHInoremasen . %mov:"21029"_659170_661180
    FAT*FAT: noremasen wa . %mov:"21029"_661180_662220
    CHIuun@o . %mov:"21029"_662220_664645
    CHIdare mo nottaimasen [: notteimasen] . %mov:"21029"_664645_667255
  3. CHIjidoosha # uun@o . %mov:"21029"_3458671_3460968
    CHItoorenai . %mov:"21029"_3460968_3466211
    FAT*FAT: moo noremasen wa . %mov:"21029"_3466211_3467444
    CHImoo koko desu . %mov:"21029"_3467444_3469271
    CHIxxx # kore ga # koko ? %mov:"21029"_3469271_3472475
  4. FATun . %mov:"21029"_3472475_3473750
    CHInorimasen [: noremasen] . %mov:"21029"_3473750_3475460
    FAT*FAT: noremasen . %mov:"21029"_3475460_3476455
    CHIkoko wa ? %mov:"21029"_3476455_3478253
    CHIkoko wa ? %mov:"21029"_3478253_3479809
  5. CHIkoko wa ? %mov:"21029"_3476455_3478253
    CHIkoko wa ? %mov:"21029"_3478253_3479809
    FAT*FAT: noremasen . %mov:"21029"_3479809_3480689
    FAToritekudasai . %mov:"21029"_3480689_3481697
    CHIhai . %mov:"21029"_3481697_3482871

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_ishii2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21029.chaJun 2;10.292,003552.50

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. noremasen5 · 100.0%