Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Overview

Pattern

Build Status Coverage PyPi version License

Pattern is a web mining module for Python. It has tools for:

  • Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM parser
  • Natural Language Processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet
  • Machine Learning: vector space model, clustering, classification (KNN, SVM, Perceptron)
  • Network Analysis: graph centrality and visualization.

It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples. The source code is licensed under BSD.

Example workflow

Example

This example trains a classifier on adjectives mined from Twitter using Python 3. First, tweets that contain hashtag #win or #fail are collected. For example: "$20 tip off a sweet little old lady today #win". The word part-of-speech tags are then parsed, keeping only adjectives. Each tweet is transformed to a vector, a dictionary of adjective → count items, labeled WIN or FAIL. The classifier uses the vectors to learn which other tweets look more like WIN or more like FAIL.

from pattern.web import Twitter
from pattern.en import tag
from pattern.vector import KNN, count

twitter, knn = Twitter(), KNN()

for i in range(1, 3):
    for tweet in twitter.search('#win OR #fail', start=i, count=100):
        s = tweet.text.lower()
        p = '#win' in s and 'WIN' or 'FAIL'
        v = tag(s)
        v = [word for word, pos in v if pos == 'JJ'] # JJ = adjective
        v = count(v) # {'sweet': 1}
        if v:
            knn.train(v, type=p)

print(knn.classify('sweet potato burger'))
print(knn.classify('stupid autocorrect'))

Installation

Pattern supports Python 2.7 and Python 3.6. To install Pattern so that it is available in all your scripts, unzip the download and from the command line do:

cd pattern-3.6
python setup.py install

If you have pip, you can automatically download and install from the PyPI repository:

pip install pattern

If none of the above works, you can make Python aware of the module in three ways:

  • Put the pattern folder in the same folder as your script.
  • Put the pattern folder in the standard location for modules so it is available to all scripts:
    • c:\python36\Lib\site-packages\ (Windows),
    • /Library/Python/3.6/site-packages/ (Mac OS X),
    • /usr/lib/python3.6/site-packages/ (Unix).
  • Add the location of the module to sys.path in your script, before importing it:
MODULE = '/users/tom/desktop/pattern'
import sys; if MODULE not in sys.path: sys.path.append(MODULE)
from pattern.en import parsetree

Documentation

For documentation and examples see the user documentation.

Version

3.6

License

BSD, see LICENSE.txt for further details.

Reference

De Smedt, T., Daelemans, W. (2012). Pattern for Python. Journal of Machine Learning Research, 13, 2031–2035.

Contribute

The source code is hosted on GitHub and contributions or donations are welcomed.

Bundled dependencies

Pattern is bundled with the following data sets, algorithms and Python packages:

  • Brill tagger, Eric Brill
  • Brill tagger for Dutch, Jeroen Geertzen
  • Brill tagger for German, Gerold Schneider & Martin Volk
  • Brill tagger for Spanish, trained on Wikicorpus (Samuel Reese & Gemma Boleda et al.)
  • Brill tagger for French, trained on Lefff (Benoît Sagot & Lionel Clément et al.)
  • Brill tagger for Italian, mined from Wiktionary
  • English pluralization, Damian Conway
  • Spanish verb inflection, Fred Jehle
  • French verb inflection, Bob Salita
  • Graph JavaScript framework, Aslak Hellesoy & Dave Hoover
  • LIBSVM, Chih-Chung Chang & Chih-Jen Lin
  • LIBLINEAR, Rong-En Fan et al.
  • NetworkX centrality, Aric Hagberg, Dan Schult & Pieter Swart
  • spelling corrector, Peter Norvig

Acknowledgements

Authors:

Contributors (chronological):

  • Frederik De Bleser
  • Jason Wiener
  • Daniel Friesen
  • Jeroen Geertzen
  • Thomas Crombez
  • Ken Williams
  • Peteris Erins
  • Rajesh Nair
  • F. De Smedt
  • Radim Řehůřek
  • Tom Loredo
  • John DeBovis
  • Thomas Sileo
  • Gerold Schneider
  • Martin Volk
  • Samuel Joseph
  • Shubhanshu Mishra
  • Robert Elwell
  • Fred Jehle
  • Antoine Mazières + fabelier.org
  • Rémi de Zoeten + closealert.nl
  • Kenneth Koch
  • Jens Grivolla
  • Fabio Marfia
  • Steven Loria
  • Colin Molter + tevizz.com
  • Peter Bull
  • Maurizio Sambati
  • Dan Fu
  • Salvatore Di Dio
  • Vincent Van Asch
  • Frederik Elwert
Comments
  • new:irregular inflection of prefix verbs with known base

    new:irregular inflection of prefix verbs with known base

    Fix implementing logic to correctly identify the (irregular) base of prefixed verbs. Old:

    >>> conjugate('gehen', (de.PAST, 2, de.SINGULAR)) 
    'gingst' # correct
    >>> conjugate('vorgehen', (de.PAST, 2, de.SINGULAR))
    'gehtest vor' # incorrect
    

    Explanation: since 'vorgehen' is not found in the lexicon, a default regular inflection strategy applies. Even though the separable prefix is correctly identified, the base form thus extracted isn't checked against the lexicon and the available information about its irregular inflection thus lost.

    New:

    >>> conjugate('gehen', (de.PAST, 2, de.SINGULAR)) 
    'gingst' # correct
    >>> conjugate('vorgehen', (de.PAST, 2, de.SINGULAR))
    'gingst vor' # correct
    

    This fix is achieved with a second pass to lemma after stripping the prefix, to identify the known irregular inflection of the base form 'gehen'.

    Further, blacklists of verbs that look like they might be prefix verbs or latinate verbs with the suffix 'ier(en)' have been included to block the parser's exceptional treatment of those.

    opened by JakobSteixner 10
  • fix issue with pattern shadowing stdlib module `parser`

    fix issue with pattern shadowing stdlib module `parser`

    After installing pattern, previously working code started failing with

      File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/lib/npyio.py", line 348, in load
        return format.open_memmap(file, mode=mmap_mode)
      File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/lib/format.py", line 556, in open_memmap
        shape, fortran_order, dtype = read_array_header_1_0(fp)
      File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/lib/format.py", line 336, in read_array_header_1_0
        d = safe_eval(header)
      File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/lib/utils.py", line 1137, in safe_eval
        ast = compiler.parse(source, mode="eval")
      File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/compiler/transformer.py", line 53, in parse
        return Transformer().parseexpr(buf)
      File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/compiler/transformer.py", line 132, in parseexpr
        return self.transform(parser.expr(text))
    AttributeError: 'module' object has no attribute 'expr'
    

    After digging around a bit, this stems from the standard module compiler doing import parser. Unfortunately, loading a parser from pattern with e.g. from pattern.en import parse makes the compiler module "see" the wrong parser -- pattern.text.en.parser instead of stdlib.

    My resolution was to manually import compiler before importing the rest of pattern, but it feels more like a hack. A better way is not to use stdlib module names, I think.

    opened by piskvorky 6
  • IndexError: list index out of range

    IndexError: list index out of range

    When I use a taxonomy search as in the below demo code, I get a stack trace and IndexError exception

    from pattern.en     import parsetree
    from pattern.search import search, Pattern, Constraint, Taxonomy, WordNetClassifier
    
    wn = Taxonomy()
    wn.classifiers.append(WordNetClassifier())
    
    p = Pattern()
    p.sequence.append(Constraint.fromstring("{COLOR?}", taxonomy=wn))
    
    pt = parsetree('the new iphone is availabe in silver, black, gold and white', relations=True, lemmata=True)
    print p.search(pt)
    

    Traceback (most recent call last): File "bug.py", line 11, in print p.search(pt) File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 746, in search a=[]; [a.extend(self.search(s)) for s in sentence]; return a File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 750, in search m = self.match(sentence, _v=v) File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 770, in match m = self._match(sequence, sentence, start) File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 838, in _match if i < len(sequence) and constraint.match(w): File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 620, in match for p in self.taxonomy.parents(s, recursive=True): File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 331, in parents return unique(dfs(self._normalize(term), recursive, {}, *_kwargs)) File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 327, in dfs a.extend(classifier.parents(term, *_kwargs) or []) File "/usr/local/lib/python2.7/dist-packages/pattern/text/search.py", line 415, in _parents try: return [w.senses[0] for w in self.wordnet.synsets(word, pos)[0].hypernyms()] IndexError: list index out of range

    opened by darenr 5
  • Calling download() twice on a Result object results in an error

    Calling download() twice on a Result object results in an error

    Example run

    rss = Newsfeed().search('http://feeds.feedburner.com/Techcrunch') dld = rss[4].download() dld = rss[4].download() Traceback (most recent call last): File "", line 1, in File "/usr/local/lib/python2.7/dist-packages/pattern/web/init.py", line 846, in download return URL(self.url).download(_args, *_kwargs) File "/usr/local/lib/python2.7/dist-packages/pattern/web/init.py", line 391, in download return cache.get(id, unicode=False) TypeError: get() takes no keyword arguments

    opened by jagatsastry 5
  • match groups in search syntax

    match groups in search syntax

    I'd love for the search syntax to have match groups just like regex. In my preference the ? symbol and () would have the same meanings as in regex syntax, so for example if I did:

    search('There be DT (JJ? NN+)', s)

    then I would get a match against "There is a red ball", and match item 0 would be "red ball", and it would also match "There is a ball" and match item 0 would be "ball".

    However I realise that if lots of people are relying on parentheses to mean optional then it wouldn't be easy to change that.

    Failing that, how about:

    search('There be DT <(JJ) NN+>', s)

    there are more semantically rich possibilities, e.g.

    <group1>(NN+)</group1>

    however I think that might be a little verbose, and get in the way of analyzing the search syntax which I think is better of as terse and as close as possible to regex (with which a lot of people are familiar)

    Many thanks in advance

    opened by tansaku 5
  • Pin Python and some dependencies versions to fix CI

    Pin Python and some dependencies versions to fix CI

    Pin the subversion of Python and fix the ci config to actually use it, as said in #262 . The subversion 3.6.5 was chosen as it is the latest known to pass in every test, which should be updated in the near future.

    opened by tales-aparecida 4
  • add bracket print statement

    add bracket print statement

    It shows error for python 3 because of brackets .

    In Setup.py

    • print n
    • print hashlib.sha256(open(z.filename).read()).hexdigest()

    In pattern/text/init.py

    • print '!'
    opened by ckshitij 4
  • Problems Head for Bing Search

    Problems Head for Bing Search

    Hi, i have a problem with pattern.web. Especifically with module search Engines Bing. When i get the results, i have this problem:

    pattern.web.URLError: Invalid header value 'Basic OlZuSkVLNEhUbG50RTNTeUY1OFFMa1VDTHAvNzh0a1lqVjFGbDNKN2xIYTA9\n'

    I copied exactly the examples, and stills this error. Actually, i have Python 2.7.12. In my server, i have a Python 2.7.9 and works fine, and my other computer i have Python 2.7.6 and works too.

    I checked all other libraries and the versions its same, minus Python. It may be that the version of Python is generating problems ?

    Thanks for all. Clips Pattern is amazing

    bug 
    opened by Leanwit 4
  • Financial data sentimental analysis return low polarity

    Financial data sentimental analysis return low polarity

    I use polarity function to asses the sentiment of financial data; what I observed is pattern polarity function tends to give false negatives in a financial data.

    A article contains this phrase tends to give negative result " .....industry is going up and stop loss should be placed at 20..."

    I think pattern mis interprets stop loss as a negative meaning.

    There are many financial sentiment dictionaries available in web can we use those dictionaries with pattern. If yes how can we do it?

    opened by ghost 4
  • wordnet issues

    wordnet issues

    I've made a fresh install of pattern-master yesterday and I'm running into issues with wordnet:

    from pattern.en import wordnet wordnet.synsets("train")

    Traceback (most recent call last): File "<pyshell#2>", line 1, in wordnet.synsets("train") File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/init.py", line 95, in synsets return [Synset(s.synset) for i, s in enumerate(w)] File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 316, in getitem return self.getSenses()[index] File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 242, in getSenses self._senses = tuple(map(getSense, self._synsetOffsets)) File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 241, in getSense return getSynset(pos, offset)[form] File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 1090, in getSynset return _dictionaryFor(pos).getSynset(offset) File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 827, in getSynset return _entityCache.get((pos, offset), loader) File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 1308, in get value = loadfn and loadfn() File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 826, in loader return Synset(pos, offset, _lineAt(dataFile, offset)) File "/usr/local/lib/python2.7/dist-packages/pattern/en/wordnet/pywordnet/wordnet.py", line 366, in init (self._senseTuples, remainder) = _partition(tokens[4:], 2, string.atoi(tokens[3], 16)) File "/usr/lib/python2.7/string.py", line 403, in atoi return _int(s, base) ValueError: invalid literal for int() with base 16: '@'

    this is happening in interactive use in IDLE.

    When running 06-example.py from the location of the unzipped download I get an error at a later moment:

    Traceback (most recent call last): File "/home/christiaan/Downloads/pattern-master/examples/03-en/06-wordnet.py", line 46, in s.append((a.similarity(b), word)) File "../../pattern/text/en/wordnet/init.py", line 272, in similarity lin = 2.0 * log(lcs(self, synset).ic) / (log(self.ic * synset.ic) or 1) ValueError: math domain error

    by the class function Synset.similarity, probably when it has to calculate the log of a negative number when working with the synsets for the words 'cat' and 'spaghetti'. Unfortunately for me this is exactly the function I'm interested in. I can see a temporary workaround for me by placing the pattern modules on the path of my project and adding in a try... except block to circumvent the ValueError, but it looks like something's broken in the wordnet implementation, although the first issue might just be a problem for my system setup/messy clips-pattern version updates.

    opened by christiaanw 4
  • sentiment does not return value between -1 and 1

    sentiment does not return value between -1 and 1

    Hellow,

    The doc states that sentiment returns a polarity value between -1 and 1 but this does not appear to be the case. E.g. the following code below gives an even lower value than -1. Why is this?

    from pattern.nl import sentiment sentiment("ik vind het heel vervelend als dat gebeurt")
    (-1.0133333333333332, -1.0133333333333332)

    opened by jwijffels 4
  • Vectorize inefficient python for loops with numpy

    Vectorize inefficient python for loops with numpy

    Hi Maintainers of this repo,

    Thank you very much for your excellent work, I am new to this repository. I am a researcher studying the best practices of evolving data science codes. According to our findings after examining 1000 data science repositories, migration of loop-based calculations is a widespread evolution practice among developers since it improves performance and code quality. I created this PR to make better use of NumPy functions and avoid unnecessary loops.

    This PR is a minor contribution compared to all the hard work that you have done in this repo. However, I am hoping that it will enhance code quality and, hopefully, performance.

    opened by maldil 1
  • pip install throws error - bin/sh: 1: mysql_config: not found

    pip install throws error - bin/sh: 1: mysql_config: not found

    After running pip install pattern getting below error

    paul@paul-B85M-D3H:~$ pip install pattern
    Defaulting to user installation because normal site-packages is not writeable
    Collecting pattern
      Using cached Pattern-3.6.0.tar.gz (22.2 MB)
      Preparing metadata (setup.py) ... done
    Requirement already satisfied: future in /usr/lib/python3/dist-packages (from pattern) (0.18.2)
    Collecting backports.csv
      Using cached backports.csv-1.0.7-py2.py3-none-any.whl (12 kB)
    Collecting mysqlclient
      Using cached mysqlclient-2.1.0.tar.gz (87 kB)
      Preparing metadata (setup.py) ... error
      error: subprocess-exited-with-error
      
      × python setup.py egg_info did not run successfully.
      │ exit code: 1
      ╰─> [16 lines of output]
          /bin/sh: 1: mysql_config: not found
          /bin/sh: 1: mariadb_config: not found
          /bin/sh: 1: mysql_config: not found
          Traceback (most recent call last):
            File "<string>", line 2, in <module>
            File "<pip-setuptools-caller>", line 34, in <module>
            File "/tmp/pip-install-qybufuhd/mysqlclient_ad587186f3304bbba8c6f9984564fb73/setup.py", line 15, in <module>
              metadata, options = get_config()
            File "/tmp/pip-install-qybufuhd/mysqlclient_ad587186f3304bbba8c6f9984564fb73/setup_posix.py", line 70, in get_config
              libs = mysql_config("libs")
            File "/tmp/pip-install-qybufuhd/mysqlclient_ad587186f3304bbba8c6f9984564fb73/setup_posix.py", line 31, in mysql_config
              raise OSError("{} not found".format(_mysql_config_path))
          OSError: mysql_config not found
          mysql_config --version
          mariadb_config --version
          mysql_config --libs
          [end of output]
      
      note: This error originates from a subprocess, and is likely not a problem with pip.
    error: metadata-generation-failed
    
    × Encountered error while generating package metadata.
    ╰─> See above for output.
    
    note: This is an issue with the package mentioned above, not pip.
    hint: See above for details.
    WARNING: There was an error checking the latest version of pip.
    
    
    
    opened by rohan-paul 2
  • 'Thread' object has no attribute 'isAlive'

    'Thread' object has no attribute 'isAlive'

    Hi!

    In "/usr/local/lib/python3.9/site-packages/pattern/web/init.py" we have isAlive() in line 224. Running the asynchronous requests example from pattern web it throws:

    Traceback (most recent call last): File "/Users/eyoshi/Python/Pattern/pattern_web_example.py", line 20, in while not request.done: File "/usr/local/lib/python3.9/site-packages/pattern/web/init.py", line 224, in done return not self._thread.isAlive() AttributeError: 'Thread' object has no attribute 'isAlive'

    isAlive needs to be changed to is_alive() here.

    opened by EBoiSha 0
  • License Type issue

    License Type issue

    Hii , This lib uses mysqlclient which is licensed under GPL. And according to GPL rules we cannot license our software under anyother license, if we use GPL code . So basically we need to either remove mysqlclient or replace BSD3 to GPL license

    opened by rsinda 0
  • Unexpected StopIteration exception being raised.

    Unexpected StopIteration exception being raised.

    I downloaded pattern module using pip. Then, when I try to run the example given in readme file, a StopIteration is being raised. ` (ProjectIM) PS C:\Users\Sourav Kannantha B\Documents\ProjectIM\go bot> py .\pattern_ex.py Traceback (most recent call last): File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init_.py", line 609, in _read raise StopIteration StopIteration

    The above exception was the direct cause of the following exception:

    Traceback (most recent call last): File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\go bot\pattern_ex.py", line 11, in v = tag(s) File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text\en_init_.py", line 188, in tag for sentence in parse(s, tokenize, True, False, False, False, encoding, **kwargs).split(): File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text\en_init_.py", line 169, in parse return parser.parse(s, *args, **kwargs) File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init_.py", line 1172, in parse s[i] = self.find_tags(s[i], **kwargs) File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text\en_init_.py", line 114, in find_tags return Parser.find_tags(self, tokens, **kwargs) File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init.py", line 1113, in find_tags lexicon = kwargs.get("lexicon", self.lexicon or {}), File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init_.py", line 376, in len return self.lazy("len") File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init.py", line 368, in lazy self.load() File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init.py", line 625, in load dict.update(self, (x.split(" ")[:2] for x in _read(self.path) if len(x.split(" ")) > 1)) File "C:\Users\Sourav Kannantha B\Documents\ProjectIM\lib\site-packages\pattern\text_init.py", line 625, in dict.update(self, (x.split(" ")[:2] for x in _read(self._path) if len(x.split(" ")) > 1)) RuntimeError: generator raised StopIteration `

    opened by SouravKB 1
Releases(3.7-beta)
Owner
Computational Linguistics Research Group
Computational Linguistics and Psycholinguistics Research Center, University of Antwerp
Computational Linguistics Research Group
One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.

One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):

Adobe, Inc. 148 Dec 26, 2022
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides

ASYML 2.3k Jan 7, 2023
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides

ASYML 2.1k Feb 17, 2021
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

Texar-PyTorch is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar

ASYML 726 Dec 30, 2022
Indobenchmark are collections of Natural Language Understanding (IndoNLU) and Natural Language Generation (IndoNLG)

Indobenchmark Toolkit Indobenchmark are collections of Natural Language Understanding (IndoNLU) and Natural Language Generation (IndoNLG) resources fo

Samuel Cahyawijaya 11 Aug 26, 2022
LegalNLP - Natural Language Processing Methods for the Brazilian Legal Language

LegalNLP - Natural Language Processing Methods for the Brazilian Legal Language ⚖️ The library of Natural Language Processing for Brazilian legal lang

Felipe Maia Polo 125 Dec 20, 2022
A design of MIDI language for music generation task, specifically for Natural Language Processing (NLP) models.

MIDI Language Introduction Reference Paper: Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions: code This

Robert Bogan Kang 3 May 25, 2022
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Intel Labs 2.9k Jan 2, 2023
DELTA is a deep learning based natural language and speech processing platform.

DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p

DELTA 1.5k Dec 26, 2022
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Intel Labs 2.6k Feb 18, 2021
DELTA is a deep learning based natural language and speech processing platform.

DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p

DELTA 1.4k Feb 17, 2021
This repository contains all the source code that is needed for the project : An Efficient Pipeline For Bloom’s Taxonomy Using Natural Language Processing and Deep Learning

Pipeline For NLP with Bloom's Taxonomy Using Improved Question Classification and Question Generation using Deep Learning This repository contains all

Rohan Mathur 9 Jul 17, 2021
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Intel Labs 2.9k Dec 31, 2022
Implementation of Natural Language Code Search in the project CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

CodeBERT-Implementation In this repo we have replicated the paper CodeBERT: A Pre-Trained Model for Programming and Natural Languages. We are interest

Tanuj Sur 4 Jul 1, 2022
FedNLP: A Benchmarking Framework for Federated Learning in Natural Language Processing

FedNLP is a research-oriented benchmarking framework for advancing federated learning (FL) in natural language processing (NLP). It uses FedML repository as the git submodule. In other words, FedNLP only focuses on adavanced models and dataset, while FedML supports various federated optimizers (e.g., FedAvg) and platforms (Distributed Computing, IoT/Mobile, Standalone).

FedML-AI 216 Nov 27, 2022
Deep Learning for Natural Language Processing - Lectures 2021

This repository contains slides for the course "20-00-0947: Deep Learning for Natural Language Processing" (Technical University of Darmstadt, Summer term 2021).

null 0 Feb 21, 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python

spaCy: Industrial-strength NLP spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest researc

Explosion 24.9k Jan 2, 2023