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

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: italian_new/federica_19_211.cha change

Searching only italian_new/federica_19_211.cha. Search all transcripts instead

5 matches in 5 utterances

3.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (589 utterances, 1,518 words searched).

Concordance Utterances Distribution Matched forms

ha tanta fame il tato sai ? MOT · italian_new/federica_19_211.cha, line 394 · Federica 1;07
ha fame il tato ? MOT · italian_new/federica_19_211.cha, line 398 · Federica 1;07
dai dagli che ha tanta fame ! MOT · italian_new/federica_19_211.cha, line 417 · Federica 1;07
non ha fame il tato ? MOT · italian_new/federica_19_211.cha, line 420 · Federica 1;07
anche a lui sì dalle il latte che ha [/] ha fame . MOT · italian_new/federica_19_211.cha, line 567 · Federica 1;07

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

per 1,000 words

01234

1;061;071;081;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
italian_new/federica_19_211.cha	Federica	01;07.04	1,518	5	5	3.29

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