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/yamaguchi_29-3_10_13.cha change

Searching only french/yamaguchi_29-3_10_13.cha. Search all transcripts instead

3 matches in 3 utterances

2.17 per 1,000 words of the child (CHI), in 1 of 1 transcripts (427 utterances, 1,383 words searched).

Concordance Utterances Distribution Matched forms

non je fais bonhomme après ! 1731561_1733864 CHI · french/yamaguchi_29-3_10_13.cha, line 1954 · Adrien 3;10
et un bonhomme ! 1733565_1735375 CHI · french/yamaguchi_29-3_10_13.cha, line 1958 · Adrien 3;10
je fais un bonhomme maintenant ! 1735376_1739084 CHI · french/yamaguchi_29-3_10_13.cha, line 1962 · Adrien 3;10

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

per 1,000 words

0.00.51.01.52.02.5

3;093;103;114;00

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/yamaguchi_29-3_10_13.cha	Adrien	3;10.13	1,383	3	3	2.17

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