PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. moo mawarahen . %mov:"30507"_601162_604501 FAT · japanese_ishii/30507.cha, line 348 · Jun 3;05
  2. moo hokashitemoota n . %mov:"30507"_708740_709531 FAT · japanese_ishii/30507.cha, line 377 · Jun 3;05
  3. moo issho no nai ka ? %mov:"30507"_1000417_1007012 FAT · japanese_ishii/30507.cha, line 514 · Jun 3;05
  4. motto onnaji [<] no # moo nai ka ?%mov:"30507"_1167947_1173872 FAT · japanese_ishii/30507.cha, line 593 · Jun 3;05
  5. moo nai yoo ni nattekita naa . %mov:"30507"_1205606_1206761 FAT · japanese_ishii/30507.cha, line 610 · Jun 3;05
  1. FATchotto dake mawaru wa . %mov:"30507"_595458_599469
    FAThora . %mov:"30507"_599469_601162
    FAT*FAT: moo mawarahen . %mov:"30507"_601162_604501
    FAThantaimuke mawashite . %mov:"30507"_604501_607348
    FATsoo [/] soo . %mov:"30507"_607348_608131
  2. FATe ? %mov:"30507"_707392_707811
    CHIhokashitemoota . %mov:"30507"_707811_708740
    FAT*FAT: moo hokashitemoota n . %mov:"30507"_708740_709531
    CHIun . %mov:"30507"_709531_710401
    CHInyunyunyunyunyu@o . %mov:"30507"_710401_715307
  3. FATun . %mov:"30507"_998704_999278
    CHIkoo de ii . %mov:"30507"_999278_1000417
    FAT*FAT: moo issho no nai ka ? %mov:"30507"_1000417_1007012
    CHInani ga ? %mov:"30507"_1007012_1009046
    FATnanika . %mov:"30507"_1009046_1009838
  4. CHImotto +... %mov:"30507"_1161074_1167947
    CHImotto onnaji no nai ka [>] ? %mov:"30507"_1167947_1173872
    FAT*FAT: motto onnaji [<] no # moo nai ka ?%mov:"30507"_1167947_1173872
    CHImada aru ka,, kore ? %mov:"30507"_1173872_1175353
    FATnai wa . %mov:"30507"_1175353_1175878
  5. CHInai yoo ni nattekita wa . %mov:"30507"_1202771_1204688
    FAThonto ya . %mov:"30507"_1204688_1205606
    FAT*FAT: moo nai yoo ni nattekita naa . %mov:"30507"_1205606_1206761
    CHIa, a, a, a . %mov:"30507"_1206761_1209792
    CHIdore nosen ne . %mov:"30507"_1209792_1212838

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_ishii6.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754556.63

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. moo5 · 100.0%