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Stanford NLP Group

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ConvNetJS

13 reviews

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

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Stanford CoreNLP

10 reviews

Stanford CoreNLP provides a set of natural language analysis tools that can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract open-class relations between mentions, etc.

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Stanford Part-Of-Speech Tagger

10 reviews

Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'.

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Stanford SPIED

6 reviews

Stanford Pattern-based Information Extraction and Diagnostics (SPIED) is a pattern-based entity extraction and visualization that provides code for two components, Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion and Visualizing and diagnosing the output from one to two systems.

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Stanford Word Segmenter

2 reviews

Stanford Word Segmenter currently supports Arabic and Chinese that provided segmentation schemes have been found to work well for a variety of applications the system requires Java 1.8+ to be installed, it recommend at least 1G of memory for documents that contain long sentences. For files with shorter sentences (e.g., 20 tokens), decrease the memory requirement by changing the option java -mx1g in the run scripts.

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Stanford University Unstructured

1 review

Stanford University Unstructured is an open-source framework for computational fluid dynamics simulation and optimal shape design.

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Tregex, Tsurgeon and Semgrex

1 review

Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions"). Tregex comes with Tsurgeon, a tree transformation language. Also included from version 2.0 on is a similar package which operates on dependency graphs (class SemanticGraph, called semgrex.

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Stanford Phrasal

1 review

Stanford Phrasal is a statistical phrase-based machine translation system, written in Java that provides much the same functionality as the core of Moses it include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models.

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Stanford NLP Group Reviews

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Kelly Fabriana L.
KL
Kelly Fabriana L.
Licenciada en Contaduría Publica en Universidad de Oriente (VE)
05/06/2019
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Review source: G2 invite
Incentivized Review

ConvNetJS the tool that March use for the library for JavaScript

ConvNetJS is an excellent library tool for JavaScript in order to train deep learning models (neural networks) completely in your browser. It is very easy to use and you open an eyelash and you are training. No software requirements, no compilers, no installations, no GPU, no effort. ConvNetJS uses JavaScript as its core to execute deep learning models, and also in its personal and favorite browsers.
Verified User in Online Media
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Verified User in Online Media
04/25/2019
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Review source: G2 invite
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Develop a Working Understanding of Natural Langauge Processing

The Stanford Parser is an easy introduction to natural language processing (NLP). The program uses a combination of approaches to identify and tag both the individual components (syntax) within a sentence and to accurately assign the relationship between the words (semantics). Users can download the Java based version of the program, or experiment with it on their website.
SJ
Saurabh J.
04/08/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Excellent, easy to use POS tagger

The amount of options that Stanford NER provides means you'll never go anywhere else for any kind of NER tasks

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What is Stanford NLP Group?

The Stanford NLP Group is a renowned research entity specializing in natural language processing within the Computer Science Department at Stanford University. This group focuses on advancing the field of computational linguistics, developing cutting-edge algorithms and models for understanding, processing, and generating human language. Their work spans various applications, including machine translation, sentiment analysis, information retrieval, and more. The group is also known for creating widely-used NLP tools and resources, such as the Stanford CoreNLP library.

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