Text Analysis Online no longer provides NLTK Stanford NLP API Interface, but keep the related demo just for testing:

NLTK Stanford POS Tagger: http://textanalysisonline.com/nltk-stanford-postagger

NLTK Stanford Named Entity Recognizer: http://textanalysisonline.com/nltk-stanford-ner

NLTK Stanford Named Entity Recognizer for 7Class: http://textanalysisonline.com/nltk-stanford-ner-7class

NLTK Stanford Named Entity Recognizer for Caseless: http://textanalysisonline.com/nltk-stanford-ner-caseless

NLTK Stanford Parser: http://textanalysisonline.com/nltk-stanford-parser

We recommend you use the original Stanford NLP Tools by Java: http://nlp.stanford.edu/software/

Which include:

Stanford CoreNLP

An integrated suite of natural language processing tools for English, Spanish, and (mainland) Chinese in Java, including tokenization, part-of-speech tagging, named entity recognition, parsing, and coreference. See also: Stanford Deterministic Coreference Resolution, the online CoreNLP demo, and the CoreNLP FAQ.

Stanford Parser

Implementations of probabilistic natural language parsers in Java: PCFG and dependency parsers, a lexicalized PCFG parser, a super-fast neural-network dependency parser, and a deep learning reranker. See also:Online parser demo, the Stanford Dependencies page, neural-network dependency parser documentation, and Parser FAQ.

Stanford POS Tagger

A maximum-entropy (CMM) part-of-speech (POS) tagger for English, Arabic, Chinese, French, German, and Spanish, in Java.

Stanford Named Entity Recognizer

A Conditional Random Field sequence model, together with well-engineered features for Named Entity Recognition in English, Chinese, German, and Spanish. Online NER demo.

Stanford Word Segmenter

A CRF-based word segmenter in Java. Supports Arabic and Chinese.

Stanford Classifier

A machine learning classifier, with good feature templates for text categorization. Provides a softmax (a.k.a., maximum entropy or multiclass logistic regression) classifier, Naive Bayes, and other options.

Tregex, Tsurgeon, and Semgrex

Tools for matching patterns in linguistic trees (following the tgrep/tgrep2 tradition), a GUI for this, and a tree-transformation utility built on top of this matching language. Also, a similar utility for matching patterns in dependency graphs.

Phrasal

A state-of-the-art phrase-based machine translation system.

Stanford EnglishTokenizer

A fast tokenizer for English text (producing Penn Treebank tokenization, roughly)

Stanford TokensRegex

A tool for matching regular expressions over tokens.

Stanford Temporal Tagger (SUTime)

A rule-based temporal tagger for English text. Online SUTime demo.

Stanford Pattern-based Information Extraction and Diagnostics (SPIED)

A boostrapped pattern-based entity extraction system.

Stanford Relation Extractor

A tool for extracting relations between entities.

GloVe: Global Vectors for Word Representations

Software in C for learning state-of-the-art distributed word representations, and a number of sets of pre-trained word vectors.

Topic Modeling Toolbox (TMT)

A suite of topic modeling tools for social scientists and others who wish to perform analysis on datasets that have a substantial textual component. Unfortunately, this software is no longer developed or supported.

Stanford Biomedical Event Parser (SBEP)

Biomedical Event Extraction for the BioNLP 2009/2011 shared task.

Posted by TextMiner