Standford Parser Learning Primer (1) configuration in-eclipse

Stanford Parser is a tool for grammatical analysis developed by Stanford University and belongs to one of the Stanford NLP series tools. This article mainly introduces the usage of Standfor parser.

2. Download the latest installation package (currently 3.6.0) on the official website of Stanford, click Download to download the latest model Stanford-english-corenlp-2016-01-10-models.jar
4. Unzip the downloaded zip package stanford-parser-full-2015-12-09.zip, there will be data, dependencies and demo, as well as the relevant source code and Java doc
6. Create a project using Eclipse, name Stanfordparser, in the build Slf4j-api.jar,slf4j-simple.jar,stanford-parser.jar,stanford-parser-3.6.0-models.jar,stanford-english-corenlp-2016-introduced in Path 01-10-models.jar
8. Take Parserdemo as an example, create a class Parserdemo.java in Stanfordparser, find Parserdemo in the directory that you unzipped in step 2, copy the contents to the Parserdemo of the current project
10. Right-click the Parserdemo.java file in Eclipse and set the run parameter arguments to: edu/stanford/nlp/models/lexparser/englishpcfg.ser.gz c:/ Parserdata/english-onesent.txt, the first parameter is the PCFG path, the models has been provided, the second parameter is the data file to be analyzed, in the Extract directory of Step 2 under Data
12. The final step runs with the following output:

    (ROOT
    (S
    (NP (DT) (JJ Quick) (JJ Brown) (NN Fox))
    (VP (VBD jumped)
    (PP (in)
    (NP (DT The) (JJ-Lazy) (NN Dog))))
    (. .)))

    [Det (fox-4, The-1), Amod (fox-4, quick-2), Amod (fox-4, brown-3), NSUBJ (jumped-5, fox-4), Root (ROOT-0, jumped-5), Case ( Dog-9, over-6), Det (dog-9, the-7), Amod (dog-9, lazy-8), Nmod:over (Jumped-5, dog-9)]

Standford Parser Learning Primer (1) configuration in-eclipse