PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

7.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. gorogoroo@o ya ne e? %mov:"20029"_456097_457216 FAT · japanese_ishii/20029.cha, line 259 · Jun 2;00
  2. kore Chaachan hai [= handing] shite ne . %mov:"20029"_519795_520790 FAT · japanese_ishii/20029.cha, line 300 · Jun 2;00
  3. gohon mottekite ne . %mov:"20029"_520790_520790 FAT · japanese_ishii/20029.cha, line 301 · Jun 2;00
  4. sore wa nan deshoo ne ? %mov:"20029"_789158_791012 FAT · japanese_ishii/20029.cha, line 465 · Jun 2;00
  5. ookii hikooki ya ne . %mov:"20029"_881708_882773 FAT · japanese_ishii/20029.cha, line 527 · Jun 2;00
  1. FATsoo ya . %mov:"20029"_453472_454103
    CHIgogoo ya . %mov:"20029"_454103_456097
    FAT*FAT: gorogoroo@o ya ne e? %mov:"20029"_456097_457216
    CHIkogo ni issho [>] . %mov:"20029"_457216_459655
    FATun, issho [<] . %mov:"20029"_457216_459655
  2. CHImatte ya . %mov:"20029"_517557_518520
    FAThai, matteru yo . %mov:"20029"_518520_519795
    FAT*FAT: kore Chaachan hai [= handing] shite ne . %mov:"20029"_519795_520790
    FATgohon mottekite ne . %mov:"20029"_520790_520790
    CHIgohon ? %mov:"20029"_521768_522822
  3. FAThai, matteru yo . %mov:"20029"_518520_519795
    FATkore Chaachan hai [= handing] shite ne . %mov:"20029"_519795_520790
    FAT*FAT: gohon mottekite ne . %mov:"20029"_520790_520790
    CHIgohon ? %mov:"20029"_521768_522822
    FAThayaku kite yoo . %mov:"20029"_522822_522822
  4. FATn ? %mov:"20029"_786367_787689
    CHIoe wa ? %mov:"20029"_787689_789158
    FAT*FAT: sore wa nan deshoo ne ? %mov:"20029"_789158_791012
    FATdenki [>] . %mov:"20029"_791012_792040
    CHIbi [<] . %mov:"20029"_791012_792040
  5. FATsoo, Papa ookii hoo ya nee ? %mov:"20029"_876960_878790
    CHIkoe oogii wa . %mov:"20029"_878790_881708
    FAT*FAT: ookii hikooki ya ne . %mov:"20029"_881708_882773
    FATkore mita nee . %mov:"20029"_882773_883603
    CHImita ? %mov:"20029"_883603_884968

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_ishii7.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712557.02

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. ne5 · 100.0%