nlp 251

  1. What statistics should a programmer (or computer scientist) know?
  2. How does the Google “Did you mean?” Algorithm work?
  3. Java Stanford NLP: Part of Speech labels?
  4. Similarity between two text documents
  5. How does Apple find dates, times and addresses in emails?
  6. Detecting syllables in a word
  7. How do you implement a “Did you mean”?
  8. Sentiment analysis for Twitter in Python
  9. Practical examples of NLTK use
  10. Stanford Parser and NLTK
  11. How to get rid of punctuation using NLTK tokenizer?
  12. Fuzzy string search library in Java
  13. Natural Language Processing in Ruby
  14. Creating a new corpus with NLTK
  15. Algorithm to determine how positive or negative a statement/text is
  16. Is there an algorithm that tells the semantic similarity of two phrases
  17. What programming language is most like natural language?
  18. Stopword removal with NLTK
  19. Is there a human readable programming language?
  20. How to config nltk data directory from code?
  21. How to read values from numbers written as words?
  22. Looking for Java spell checker library
  23. What are good starting points for someone interested in natural language processing?
  24. Code Golf: Number to Words
  25. How can I split multiple joined words?
  26. What are the major differences and benefits of Porter and Lancaster Stemming algorithms?
  27. Stemming algorithm that produces real words
  28. Hamming Distance vs. Levenshtein Distance
  29. Word frequency algorithm for natural language processing
  30. What Is the Difference Between POS Tagging and Shallow Parsing?
  31. Natural language date/time parser for .NET?
  32. Ordinal numbers replacement
  33. Named Entity Recognition Libraries for Java
  34. How do I determine if a random string sounds like English?
  35. Natural English language words
  36. How to split a string into words. Ex: “stringintowords” -> “String Into Words”?
  37. How can I use NLP to parse recipe ingredients?
  38. Algorithms or libraries for textual analysis, specifically: dominant words, phrases across text, and collection of text
  39. Is there any Treebank for free?
  40. Latent Dirichlet Allocation, pitfalls, tips and programs
  41. NLP: any easy and good methods to find semantic similarity between words?
  42. How to correct the user input (Kind of google “did you mean?”)
  43. Generating questions from text (NLP)
  44. Incompatible initial and maximum heap sizes specified
  45. Efficient Context-Free Grammar parser, preferably Python-friendly
  46. How to use OpenNLP with Java?
  47. Computing N Grams using Python
  48. How to turn plural words singular?
  49. How to strip headers/footers from Project Gutenberg texts?
  50. In Natural language processing, what is the purpose of chunking?