LTP (Language Technology Platform)
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About
LTP (Language Technology Platform) is a Chinese language processing system developed by the Research Center for Social Computing and Information Retrieval of Harbin Institute of Technology. It provides a set of bottom-up and efficient Chinese language processing modules, including six core technologies for Chinese processing: Lexical Analysis, Syntactic Analysis and Semantic Analysis. LTP offers programming interfaces and can be used as a network service (Web Service). LTP provides tools for generating statistical machine learning models for individual natural language processing tasks, and programming interfaces for calling models for analysis. It can be used to process massive amounts of text, build on underlying Chinese natural language processing tasks, or compare research results with advanced work.
Platform
Task
Features
• syntactic analysis
• part-of-speech tagging
• word segmentation
FAQs
【版本：v3】在Mac下编译ltp，缺失wchar.h,string.h等文件
Confirm the following command runs correctly: `xcode-select --install`
【版本：v3】我在使用`nndepparser`训练句法模型时遇到，segmentation fault
This may be due to not setting the head node label `--root HED`. Add this parameter when starting the trainer `nndepparser` to run normally.
【版本：v3】本地使用ltp的时候出现 [ERROR] … in LTP::wordseg, failed to load segmentor resource 是怎么回事儿？
This prompt means that the model loading failed. If you have not downloaded the model, please refer to [下载部署模型](/docs/ltptest.html#ltp).
【版本：v3】我使用分词（词性标注）词典了，但是为什么某些词典词还是被切开了（词性没有按照字典标注）
LTP's word segmentation (part-of-speech tagging) module does not use a dictionary matching strategy. External dictionaries are added to the machine learning algorithm as features and cannot guarantee that all words are segmented (tagged) in the way they are in the dictionary.
【版本：v3】可不可以把Java/Python调用LTP，或切词原理文档, 发我一份吗？
To use Java or Python to call LTP, please refer to the ltp4j and pyltp projects and the [使用其他语言调用ltp](/docs/otherlanguage.html#ltp) section of the documentation.
【版本：v3】调用ltp_server时为什会出现400错误？
The current limit is a maximum sentence length of _1024 characters_ and a maximum of _256 words_ in the segmentation result. LTP only accepts UTF8 encoded input. If your input is GBK encoded, please convert it to _UTF8 without BOM encoding_.
Pricing Plans
Free (for research)
Free Plan• Open source code for universities and research institutions
• Free for research purposes
Job Opportunities
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