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_nat35b.cha change

Searching only french/lyon_nat35b.cha. Search all transcripts instead

3 matches in 2 utterances

14.08 per 1,000 words of the child (CHI), in 1 of 1 transcripts (107 utterances, 213 words searched).

Concordance Utterances Distribution Matched forms

si_il_te_plaît ‹Némo [/]› Némo ! 705372_710867 CHI · french/lyon_nat35b.cha, line 627 · Nathan 2;07
si_il_te_plaît Némo si_il_te_plaît ! 710867_713455 CHI · french/lyon_nat35b.cha, line 631 · Nathan 2;07
si_il_te_plaît Némo si_il_te_plaît ! 710867_713455 CHI · french/lyon_nat35b.cha, line 631 · Nathan 2;07

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

per 1,000 words

051015

2;062;072;082;09

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_nat35b.cha	Nathan	2;7.6	213	2	3	14.08

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