Changes between Version 1 and Version 2 of documentation
- Timestamp:
- Mar 15, 2009, 3:30:40 PM (15 years ago)
Legend:
- Unmodified
- Added
- Removed
- Modified
-
documentation
v1 v2 5 5 SET is an open source tool for syntax analysis of natural languages. It is based on the principle of detection of important patterns in the text and incremental segmentation of the sentence. Its core consists of a set of patterns (or rules) and a parsing engine that analyses the input sentence according to given rules. Currently, SET is distributed with a set of rules for parsing the Czech language, containing about 150 rules. A simple tree viewer for displaying parser output is also present. 6 6 7 == System features ==7 == System features == 8 8 9 The system is able to parse a morphologically tagged sentence in the vertical (BRIEF) format, i.e. one token per line, in word - lemma - tag order. At the time, the morphological tagging must be disambiguated and the tags are expected in the attribute format, as used by the [http://nlp.fi.muni.cz/projekty/ajka ajka] morphological analyser. Examples of correct input files: sentence 1, sentence 2.9 The system is able to parse a morphologically tagged sentence in the vertical (BRIEF) format, i.e. one token per line, in word - lemma - tag order. At the time, the morphological tagging must be disambiguated and the tags are expected in the attribute format, as used by the [http://nlp.fi.muni.cz/projekty/ajka ajka] morphological analyser. Examples of correct input files: [attachment:s1.txt sentence 1], [attachment:s2.txt sentence 2]. 10 10 11 11 As the output, the system returns syntactic information found in the input sentence in several possible formats:
