stanford-segmenter | chinese parsing segmentation of words | Machine Learning library

 by   deanhiller Java Version: Current License: Non-SPDX

kandi X-RAY | stanford-segmenter Summary

kandi X-RAY | stanford-segmenter Summary

stanford-segmenter is a Java library typically used in Artificial Intelligence, Machine Learning applications. stanford-segmenter has no bugs, it has no vulnerabilities, it has build file available and it has low support. However stanford-segmenter has a Non-SPDX License. You can download it from GitHub.

chinese parsing segmentation of words. to load in intellij idea, run gradlew idea on any OS and then import (no need to install gradle but must have jdk installed). to load in eclipse, run gradlew eclipse on any OS (no need to install gradle but must have jdk installed). to build the jar, run gradlew assemble.
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            kandi-support Support

              stanford-segmenter has a low active ecosystem.
              It has 4 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              stanford-segmenter has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of stanford-segmenter is current.

            kandi-Quality Quality

              stanford-segmenter has no bugs reported.

            kandi-Security Security

              stanford-segmenter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              stanford-segmenter has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              stanford-segmenter releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed stanford-segmenter and discovered the below as its top functions. This is intended to give you an instant insight into stanford-segmenter implemented functionality, and help decide if they suit your requirements.
            • Transforms the given subtree to its original tree .
            • Return a collection of features for the feature c .
            • Sets the option to use .
            • moves the cursor to the next state
            • Translates a string .
            • Internal helper method to print the tree .
            • transforms a tree t into CCN
            • Creates a counter from a map of numbers .
            • Return a collection of features features for c .
            • Collapses three words in a list of syntactic dependencies .
            Get all kandi verified functions for this library.

            stanford-segmenter Key Features

            No Key Features are available at this moment for stanford-segmenter.

            stanford-segmenter Examples and Code Snippets

            No Code Snippets are available at this moment for stanford-segmenter.

            Community Discussions

            QUESTION

            python 3.5 nltk Stanford segmenter windows 10
            Asked 2019-Apr-10 at 13:48

            I have setup the environment variables as instructed by the official NLTK wiki. I run into the following error in my very first example. Here are the codes:

            ...

            ANSWER

            Answered 2017-Sep-29 at 07:58

            For some reason list2cmdline(args) in subprocess.py is returning [None], and it is not being handled properly. I would guess that it's a problem with the java() call in stanford_segmenter.py.

            From here you can see that the code was updated to require Java 8 back in 2014. If your Java version is lower than this, it could be the problem.

            Source https://stackoverflow.com/questions/44793697

            QUESTION

            NLTK Stanford Segmentor, how to set CLASSPATH
            Asked 2017-Oct-17 at 02:45

            I'm trying to use the Stanford Segementer bit from the NLTK Tokenize package. However, I run into issues just trying to use the basic test set. Running the following:

            ...

            ANSWER

            Answered 2017-Oct-17 at 02:45

            Note: This solution would only work for:

            • NLTK v3.2.5 (v3.2.6 would have an even simpler interface)
            • Stanford CoreNLP (version >= 2016-10-31)

            First you have to get Java 8 properly installed first and if Stanford CoreNLP works on command line, the Stanford CoreNLP API in NLTK v3.2.5 is as follows.

            Note: You have to start the CoreNLP server in terminal BEFORE using the new CoreNLP API in NLTK.

            English

            In terminal:

            Source https://stackoverflow.com/questions/46734119

            QUESTION

            Stanford POS tagger doesn't work with SLF4J in classpath
            Asked 2017-Mar-20 at 21:29

            I'm using the Stanford POS tagger 3.7.0 in a Java project that also uses the Jena RDF API. Jena requires slf4j-api-1.7.12.jar and slf4j-log4j12-1.7.12.jar, but when trying to call the POS tagger having those jars in the classpath I get the following error:

            ...

            ANSWER

            Answered 2017-Mar-20 at 21:29

            I think the best solution is to just use the full Stanford CoreNLP 3.7.0 release which won't have this issue but will have all the POS tagging functionality.

            The full download is available here:

            http://stanfordnlp.github.io/CoreNLP/download.html

            This issue should be resolved in the standalone distributions for Stanford CoreNLP 3.8.0 which we'll try to release in the early summer.

            Source https://stackoverflow.com/questions/42906609

            QUESTION

            Stanford segmenter nltk Could not find SLF4J in your classpath
            Asked 2017-Mar-17 at 07:41

            I've set up a nltk and stanford environment, and nltk and stanford jars has downloaded, the program with nltk was ok, but I had a trouble with stanford segmenter. just make a simple program via stanford segmenter, I got a error is Could not find SLF4J in your classpath, although I had exported all jars including slf4j-api.jar. Detail as follows

            • Python3.5 NLTK 3.2.2 Standford jars 3.7
            • OS: Centos
            • environment variable:

              ...

            ANSWER

            Answered 2017-Mar-13 at 08:13

            With the current code base if you have the slf4j-api.jar in your CLASSPATH and run the 3.7.0 segmenter you will get this error. I'm going to push a code change to fix this but for the time being if you remove the slf4j-api.jar from the CLASSPATH this error should go away.

            Source https://stackoverflow.com/questions/42743824

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install stanford-segmenter

            You can download it from GitHub.
            You can use stanford-segmenter like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the stanford-segmenter component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone deanhiller/stanford-segmenter

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            git@github.com:deanhiller/stanford-segmenter.git

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