python Programming Glossary: gram

Python: Reducing memory usage of dictionary

http://stackoverflow.com/questions/10264874/python-reducing-memory-usage-of-dictionary

TAB int string TAB float int TAB float. Indeed they are ngram statics files in case this helps with the solution. For instance.. to your advice. python memory dictionary compression n gram share improve this question I cannot offer a complete strategy..

Automatically determine the natural language of a website page given its URL

http://stackoverflow.com/questions/1167262/automatically-determine-the-natural-language-of-a-website-page-given-its-url

is GPL license. For a more general solution using Trigrams in Python as others have suggested see this Python Cookbook.. This is usually accomplished by using character n gram models. You can find here a state of the art language identifier..

SymPy: How to return an expression in terms of other expression(s)?

http://stackoverflow.com/questions/2038100/sympy-how-to-return-an-expression-in-terms-of-other-expressions

return str expr2.subs converter Usage x in_terms_of 'J' 'gram' 'mile' 'hour' x '9765625000 mile 2 gram 1951609 hour 2 ' in_terms_of.. in_terms_of 'J' 'gram' 'mile' 'hour' x '9765625000 mile 2 gram 1951609 hour 2 ' in_terms_of x 'J' 'J' python sympy share.. can see that all units are defined in terms of meters kilograms seconds amperes kelvins moles and candelas. These are the base..

Language detection in python [duplicate]

http://stackoverflow.com/questions/2161290/language-detection-in-python

326576 Recipe 326576 Language detection using character trigrams The Trigram class can be used to compare blocks of text based.. 326576 Language detection using character trigrams The Trigram class can be used to compare blocks of text based on their local.. footprints of various registers or authors. As all n gram implementations should it has a method to make up nonsense words...

Simple implementation of N-Gram, tf-idf and Cosine similarity in Python

http://stackoverflow.com/questions/2380394/simple-implementation-of-n-gram-tf-idf-and-cosine-similarity-in-python

has to be very simple. Implementing a vanilla version of n grams where it possible to define how many grams to use along with.. version of n grams where it possible to define how many grams to use along with a simple implementation of tf idf and Cosine.. of tf idf and Cosine similarity. Is there any program that can do this Or should I start writing this from scratch..

tag generation from a text content

http://stackoverflow.com/questions/2661778/tag-generation-from-a-text-content

to do extract interesting multiword expressions using n gram PMI in a about 7 lines of code e.g. import nltk from nltk.collocations.. of code e.g. import nltk from nltk.collocations import bigram_measures nltk.collocations.BigramAssocMeasures # change this.. import bigram_measures nltk.collocations.BigramAssocMeasures # change this to read in your data finder BigramCollocationFinder.from_words..

How to add file extensions based on file type on Linux/Unix?

http://stackoverflow.com/questions/352837/how-to-add-file-extensions-based-on-file-type-on-linux-unix

rdf xml rdf application smil smi smil application srgs gram application srgs xml grxml application vnd.adobe.apollo application..

Fast n-gram calculation

http://stackoverflow.com/questions/7591258/fast-n-gram-calculation

n gram calculation I'm using NLTK to search for n grams in a corpus.. n gram calculation I'm using NLTK to search for n grams in a corpus but it's taking a very long time in some cases... a very long time in some cases. I've noticed calculating n grams isn't an uncommon feature in other packages apparently Haystack..

Some NLP stuff to do with grammar, tagging, stemming, and word sense disambiguation in Python

http://stackoverflow.com/questions/8541447/some-nlp-stuff-to-do-with-grammar-tagging-stemming-and-word-sense-disambiguat

NLP stuff to do with grammar tagging stemming and word sense disambiguation in Python.. my fourth year of college with only my own guidance in programming. I'm competent enough with Python that I won't have trouble.. round several users put in words one word per user . My program seeks to unify or combine these input words to produce a single..