[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-4110":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":23,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":30,"readmeContent":31,"aiSummary":32,"trendingCount":16,"starSnapshotCount":16,"syncStatus":33,"lastSyncTime":34,"discoverSource":35},4110,"CoreNLP","stanfordnlp\u002FCoreNLP","stanfordnlp","CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.","http:\u002F\u002Fstanfordnlp.github.io\u002FCoreNLP\u002F",null,"Java",10083,2718,477,181,0,4,16,45,"GNU General Public License v3.0",false,"main",true,[25,26,27,28,29],"named-entity-recognition","natural-language-processing","nlp","nlp-parsing","stanford-nlp","2026-06-12 02:00:58","# Stanford CoreNLP\n\n[![Run Tests](https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002FCoreNLP\u002Factions\u002Fworkflows\u002Frun-tests.yaml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002FCoreNLP\u002Factions\u002Fworkflows\u002Frun-tests.yaml)\n[![Maven Central](https:\u002F\u002Fimg.shields.io\u002Fmaven-central\u002Fv\u002Fedu.stanford.nlp\u002Fstanford-corenlp.svg)](https:\u002F\u002Fmvnrepository.com\u002Fartifact\u002Fedu.stanford.nlp\u002Fstanford-corenlp)\n[![Twitter](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Fstanfordnlp.svg?style=social&label=Follow)](https:\u002F\u002Ftwitter.com\u002Fstanfordnlp\u002F)\n\n[Stanford CoreNLP](http:\u002F\u002Fstanfordnlp.github.io\u002FCoreNLP\u002F) provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of syntactic phrases or dependencies, and indicate which noun phrases refer to the same entities. It was originally developed for English, but now also provides varying levels of support for (Modern Standard) Arabic, (mainland) Chinese, French, German, Hungarian, Italian, and Spanish. Stanford CoreNLP is an integrated framework, which makes it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications. Stanford CoreNLP is a set of stable and well-tested natural language processing tools, widely used by various groups in academia, industry, and government. The tools variously use rule-based, probabilistic machine learning, and deep learning components.\n\nThe Stanford CoreNLP code is written in Java and licensed under the GNU General Public License (v2 or later). Note that this is the full GPL, which allows many free uses, but not its use in proprietary software that you distribute to others.\n\n### Build Instructions\n\nSeveral times a year we distribute a new version of the software, which corresponds to a stable commit.\n\nDuring the time between releases, one can always use the latest, under development version of our code.\n\nHere are some helpful instructions to use the latest code:\n\n#### Provided build\n\nSometimes we will provide updated jars here which have the latest version of the code.\n\nAt present, [the current released version of the code](https:\u002F\u002Fstanfordnlp.github.io\u002FCoreNLP\u002F#download) is our most recent released jar, though you can always build the very latest from GitHub HEAD yourself.\n\n\u003C!---\n[stanford-corenlp.jar (last built: 2017-04-14)](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-corenlp-2017-04-14-build.jar)\n-->\n\n#### Build with Ant\n\n1. Make sure you have Ant installed, details here: [http:\u002F\u002Fant.apache.org\u002F](http:\u002F\u002Fant.apache.org\u002F)\n2. Compile the code with this command: `cd CoreNLP ; ant`\n3. Then run this command to build a jar with the latest version of the code: `cd CoreNLP\u002Fclasses ; jar -cf ..\u002Fstanford-corenlp.jar edu`\n4. This will create a new jar called stanford-corenlp.jar in the CoreNLP folder which contains the latest code\n5. The dependencies that work with the latest code are in CoreNLP\u002Flib and CoreNLP\u002Fliblocal, so make sure to include those in your CLASSPATH.\n6. When using the latest version of the code make sure to download the latest versions of the [corenlp-models](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-corenlp-models-current.jar), [english-models](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-english-corenlp-models-current.jar), and [english-models-kbp](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-english-kbp-corenlp-models-current.jar) and include them in your CLASSPATH.  If you are processing languages other than English, make sure to download the latest version of the models jar for the language you are interested in.\n\n#### Build with Maven\n\n1. Make sure you have Maven installed, details here: [https:\u002F\u002Fmaven.apache.org\u002F](https:\u002F\u002Fmaven.apache.org\u002F)\n2. If you run this command in the CoreNLP directory: `mvn package` , it should run the tests and build this jar file: `CoreNLP\u002Ftarget\u002Fstanford-corenlp-4.5.4.jar`\n3. When using the latest version of the code make sure to download the latest versions of the [corenlp-models](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-corenlp-models-current.jar), [english-extra-models](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-english-extra-corenlp-models-current.jar), and [english-kbp-models](http:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-english-kbp-corenlp-models-current.jar) and include them in your CLASSPATH.  If you are processing languages other than English, make sure to download the latest version of the models jar for the language you are interested in.  \n4. If you want to use Stanford CoreNLP as part of a Maven project you need to install the models jars into your Maven repository.  Below is a sample command for installing the Spanish models jar.  For other languages just change the language name in the command.  To install `stanford-corenlp-models-current.jar` you will need to set `-Dclassifier=models`.  Here is the sample command for Spanish: `mvn install:install-file -Dfile=\u002Flocation\u002Fof\u002Fstanford-spanish-corenlp-models-current.jar -DgroupId=edu.stanford.nlp -DartifactId=stanford-corenlp -Dversion=4.5.4 -Dclassifier=models-spanish -Dpackaging=jar`\n\n#### Models\n\nThe models jars that correspond to the latest code can be found in the table below.\n\nSome of the larger (English) models -- like the shift-reduce parser and WikiDict -- are not distributed with our default models jar.\nThese require downloading the English (extra) and English (kbp) jars. Resources for other languages require usage of the corresponding\nmodels jar.\n\nThe best way to get the models is to use git-lfs and clone them from Hugging Face Hub.\n\nFor instance, to get the French models, run the following commands:\n\n```\n# Make sure you have git-lfs installed\n# (https:\u002F\u002Fgit-lfs.github.com\u002F)\ngit lfs install\n\ngit clone https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-french\n```\n\nThe jars can be directly downloaded from the links below or the Hugging Face Hub page as well. \n\n| Language | Model Jar | Last Updated |\n| --- | --- | --- |\n| Arabic  | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-arabic-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-arabic\u002Ftree\u002Fmain) | 4.5.6 |\n| Chinese | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-chinese-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-chinese\u002Ftree\u002Fmain)| 4.5.6 |\n| English (extra) | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-english-extra-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-english-extra\u002Ftree\u002Fmain) | 4.5.6 |\n| English (KBP) | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-english-kbp-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-english-kbp\u002Ftree\u002Fmain) | 4.5.6 |\n| French | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-french-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-french\u002Ftree\u002Fmain) | 4.5.6 |\n| German | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-german-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-german\u002Ftree\u002Fmain) | 4.5.6 |\n| Hungarian | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-hungarian-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-hungarian\u002Ftree\u002Fmain) | 4.5.6 |\n| Italian | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-italian-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-italian\u002Ftree\u002Fmain)| 4.5.6 |\n| Spanish | [download](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002Fstanford-spanish-corenlp-models-current.jar) [(HF Hub)](https:\u002F\u002Fhuggingface.co\u002Fstanfordnlp\u002Fcorenlp-spanish\u002Ftree\u002Fmain)| 4.5.6 |\n\nThank you to [Hugging Face](https:\u002F\u002Fhuggingface.co\u002F) for helping with our hosting!\n\n### Install by Gradle\n\nIf you don't know Gradle itself, see official site: https:\u002F\u002Fgradle.org\n\nWrite the following in your build.gradle according to [Maven Central](https:\u002F\u002Fsearch.maven.org\u002Fartifact\u002Fedu.stanford.nlp\u002Fstanford-corenlp\u002F4.5.5\u002Fjar):\n\n```Gradle\ndependencies {\n    implementation 'edu.stanford.nlp:stanford-corenlp:4.5.5'\n}\n```\n\nIf you want to analyse English, add following:\n\n```Gradle\n    implementation \"edu.stanford.nlp:stanford-corenlp:4.5.5:models\"\n    implementation \"edu.stanford.nlp:stanford-corenlp:4.5.5:models-english\"\n    implementation \"edu.stanford.nlp:stanford-corenlp:4.5.5:models-english-kbp\"\n```\n\nIf you use another version, replace \"4.5.5\" to a version you use.\n\n### Useful resources\n\nYou can find releases of Stanford CoreNLP on [Maven Central](https:\u002F\u002Fsearch.maven.org\u002Fartifact\u002Fedu.stanford.nlp\u002Fstanford-corenlp\u002F4.5.4\u002Fjar).\n\nYou can find more explanation and documentation on [the Stanford CoreNLP homepage](http:\u002F\u002Fstanfordnlp.github.io\u002FCoreNLP\u002F).\n\nFor information about making contributions to Stanford CoreNLP, see the file [CONTRIBUTING.md](CONTRIBUTING.md).\n\nQuestions about CoreNLP can either be posted on StackOverflow with the tag [stanford-nlp](http:\u002F\u002Fstackoverflow.com\u002Fquestions\u002Ftagged\u002Fstanford-nlp),\n  or on the [mailing lists](https:\u002F\u002Fnlp.stanford.edu\u002Fsoftware\u002F#Mail).\n","Stanford CoreNLP 是一套用Java编写的自然语言处理工具集，支持词性标注、命名实体识别、句法分析、共指消解和情感分析等多种功能。其核心特点在于集成度高，仅需几行代码即可对文本进行多层次的语言学分析；同时支持英语及多种其他语言，并结合了规则基础、概率机器学习以及深度学习方法来提高准确性与效率。适用于需要从非结构化文本中提取结构化信息的各种场景，如学术研究、企业数据分析或政府报告生成等。",2,"2026-06-11 02:58:28","top_language"]