Natural language processing draws knowledge from a diverse collection of fields including computer science, linguistics, and statistics in order to extract pertinent information from the spoken or written word.
119
votes
27answers
5k views
Simple method for reliably detecting code in text?
GMail has this feature where it will warn you if you try to send an email that it thinks might have an attachment.
Because GMail detected the string see the attached in the email, but no actual ...
7
votes
2answers
144 views
Guess if a time is AM or PM
I'm currently in the process of writing a human date parser. By human date, I mean it should be able to interpret strings as "tomorrow at 2" and return a valid date depending on the current time.
The ...
7
votes
2answers
267 views
Persisting natural language processing parsed data
I've recently started experimenting with natural language processing (NLP) using Stanford's CoreNLP, and I'm wondering what are some of the standard ways to store NLP parsed data for something like a ...
5
votes
3answers
619 views
What algorithm(s) can be used to achieve reasonably good next word prediction?
What is a good way of implementing "next-word prediction"? For example, the user types "I am" and the system suggests "a" and "not" (or possibly others) as the next word. I am aware of a method that ...
4
votes
2answers
1k views
Starting point for learning natural language processing in Java
Currently I am a high school student and new to the natural language processing field.
I am trying to write a Java program that can provide answers that can be understood by humans to the questions ...
3
votes
3answers
396 views
Separating words in a string
How do I separate words in a string?
In the following I have a random sample of words in a string extracted from text file with over a million words.
Here's the string:
"intervene Pockets ...
3
votes
2answers
214 views
Available options for classifying words in text?
I am researching ways to classify words in text and I'm wondering what options there are and which are best suited to this job. I'm mostly interested in keywords which are most often nouns.
So far I ...
3
votes
1answer
180 views
NLP - Queries using semantic wildcards in full text searching, maybe with Lucene?
Let's say I have a big corpus (for example in english or an arbitrary language), and I want to perform some semantic search on it. For example I have the query:
"Be careful: [art] armada of [sg] is ...
1
vote
1answer
286 views
Is Agile Development used in Machine Learning and Natural Language Processing?
I've been developing web apps for a while now and it is standard practice in our team to use agile development techniques and principles to implement the software.
Recently, I've also become involved ...
1
vote
2answers
316 views
How to create a Semantic Network like wordnet based on Wikipedia?
I am an undergraduate student and I have to create a Semantic Network based on Wikipedia. This Semantic Network would be similar to Wordnet(except for it is based on Wikipedia and is concerned with ...
-2
votes
2answers
346 views
NLP as a job requirement
When an employer points out that NLP is required in a position what does he expect? Can I teach myself natural language processing theory or must know specific frameworks or what?
