PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 2,037 words searched).

  1. jidoosha umi hai # hairehen yan ka . %mov:"30622"_419730_421666 FAT · japanese_ishii/30622.cha, line 192 · Jun 3;06
  2. sonna toko jidoosha iku kai . %mov:"30622"_974857_981467 FAT · japanese_ishii/30622.cha, line 448 · Jun 3;06
  3. jidoosha konnna senro no ue hashin no ka . %mov:"30622"_999667_1002830 FAT · japanese_ishii/30622.cha, line 457 · Jun 3;06
  4. doa no akanai jidoosha irimasen . %mov:"30622"_2290440_2293381 FAT · japanese_ishii/30622.cha, line 959 · Jun 3;06
  5. jidoosha ga moetemasu yoo . %mov:"30622"_3390778_3392100 FAT · japanese_ishii/30622.cha, line 1390 · Jun 3;06
  6. kono jidoosha moetemasu yoo . %mov:"30622"_3393869_3395465 FAT · japanese_ishii/30622.cha, line 1392 · Jun 3;06
  1. FATsoo ya . %mov:"30622"_416506_416506
    CHIumi ni haitta i [?] buubuu@o . %mov:"30622"_416506_419730
    FAT*FAT: jidoosha umi hai # hairehen yan ka . %mov:"30622"_419730_421666
    FATshizundeshimau yan ka . %mov:"30622"_421666_422718
    CHIshizundeshiihin [: shizundeshimawanai] de . %mov:"30622"_422718_424719
  2. FATyaarahen no . %mov:"30622"_973676_974384
    CHIun . %mov:"30622"_974384_974857
    FAT*FAT: sonna toko jidoosha iku kai . %mov:"30622"_974857_981467
    CHIkoko ni naa # koko ni tomatteru dake ya . %mov:"30622"_981467_985481
    FATsoo ka . %mov:"30622"_985481_985919
  3. CHIkoko wa naa # koko ga # shinkansen ya kara tte ii no . %mov:"30622"_992233_998219
    CHIkotchi wa jidoosha ya kara . %mov:"30622"_998219_999667
    FAT*FAT: jidoosha konnna senro no ue hashin no ka . %mov:"30622"_999667_1002830
    CHIun . %mov:"30622"_1002830_1003369
    CHImiteta de,, Junkun . %mov:"30622"_1003369_1005700
  4. CHIokkii torakku ga # okkii jidoosha ga kimashita yo . %mov:"30622"_2280233_2289539
    FAThaai. %mov:"30622"_2289539_2290440
    FAT*FAT: doa no akanai jidoosha irimasen . %mov:"30622"_2290440_2293381
    CHIfuui@o tonda . %mov:"30622"_2293381_2297707
    CHIpiipoopiipoopii@o . %mov:"30622"_2297707_2307910
  5. CHIdore # doko ga kaji desu kaa ? %mov:"30622"_3385582_3389045
    FATdoko ga kaji desu kaa ? %mov:"30622"_3389045_3390778
    FAT*FAT: jidoosha ga moetemasu yoo . %mov:"30622"_3390778_3392100
    CHIdoko ? %mov:"30622"_3392100_3393869
    FATkono jidoosha moetemasu yoo . %mov:"30622"_3393869_3395465
  6. FATjidoosha ga moetemasu yoo . %mov:"30622"_3390778_3392100
    CHIdoko ? %mov:"30622"_3392100_3393869
    FAT*FAT: kono jidoosha moetemasu yoo . %mov:"30622"_3393869_3395465
    FATkeshitekudasai . %mov:"30622"_3395465_3396486
    CHIhai . %mov:"30622"_3396486_3403678

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_ishii2.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30622.chaJun 3;6.222,037662.95

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. jidoosha6 · 100.0%