PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat39b.cha change

Searching only french/lyon_nat39b.cha. Search all transcripts instead

5 matches in 5 utterances

10.64 per 1,000 words of the child (CHI), in 1 of 1 transcripts (240 utterances, 470 words searched).

Concordance Utterances Distribution Matched forms

<moi aller bleu> [?] . 944127_950087 CHI · french/lyon_nat39b.cha, line 1179 · Nathan 2;09
moi aller bleu . CHI · french/lyon_nat39b.cha, line 1185 · Nathan 2;09
‹non [?]› moi y aller bleu ! 950087_954745 CHI · french/lyon_nat39b.cha, line 1193 · Nathan 2;09
non ‹moi [/]› moi aller au bleu ! CHI · french/lyon_nat39b.cha, line 1200 · Nathan 2;09
yyy moi aller au lac yyy ! CHI · french/lyon_nat39b.cha, line 1204 · Nathan 2;09

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

03581013

2;082;092;102;11

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_nat39b.cha	Nathan	2;9.7	470	5	5	10.64

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.