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0.04
The project is in a healthy, maintained state
Tencent Cloud Ruby SDK is the official software development kit, which allows Ruby developers to write software that makes use of Tencent Cloud service NLP.
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0.0
The project is in a healthy, maintained state
This Ruby gem leverages Machine Learning(ML) techniques to make predictions(forecasts) and classifications in various applications. It provides capabilities such as predicting next month's billing, forecasting upcoming sales orders, identifying patient's potential findings(like Diabetes), determining user approval status, classifying text, generating similarity scores, and making recommendations. It uses Python3 under the hood, powered by popular machine learning techniques including NLP(Natural Language Processing), Decision Tree, K-Nearest Neighbors and Logistic Regression, Random Forest and Linear Regression algorithms.
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0.0
The project is in a healthy, maintained state
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the Ruby client for the API. More details here: https://nlpcloud.io. Documentation: https://docs.nlpcloud.io.
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0.0
No release in over 3 years
Low commit activity in last 3 years
Built-in NLP for Stealth bots via Microsoft's Language Understanding (LUIS).
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0.0
Low commit activity in last 3 years
No release in over a year
Parses a calendar event for date, time, and description e.g. hall 2 friday at 11am #=> {:title=>"hall 2", :date=>2017-05-12 11:...}
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0.0
No commit activity in last 3 years
No release in over 3 years
ref_link: https://help.aliyun.com/document_detail/60866.html
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0.0
No commit activity in last 3 years
No release in over 3 years
this repo contains implementions of some NLP util functions, such as word error rate and perplexity.
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0.02
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
WLAPI is a programmatic API for web services providedby the project Wortschatz, University of Leipzig. Theseservices are a great source of linguistic knowledgefor morphological, syntactic and semantic analysisof German both for traditional and ComputationalLinguistics (CL). Use this API to gain data on wordfrequencies, left and right neighbours, collocations andsemantic similarity. Check it out if you are interested inNatural Language Processing (NLP) and Human LanguageTechnology (HLT).
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0.01
Repository is archived
No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
Natural language processing algorithms implemented in pure Ruby with minimal dependencies
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0.22
No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
High-level Ruby bindings to the Stanford CoreNLP package, a set natural language processing tools that provides tokenization, part-of-speech tagging and parsing for several languages, as well as named entity recognition and coreference resolution for English, German, French and other languages.
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0.21
No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
High-level Ruby bindings to the Stanford CoreNLP package, a set natural language processing tools that provides tokenization, part-of-speech tagging and parsing for several languages, as well as named entity recognition and coreference resolution for English.
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0.03
No commit activity in last 3 years
No release in over 3 years
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
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0.0
No commit activity in last 3 years
No release in over 3 years
tcf2nif converts NLP data from the TCF format (used by WebLicht) to the RDF-based NIF format.
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