Last call to make your voice heard! Our 2022 Developer Survey closes in less than a week. Take survey.

Questions tagged [computational-linguistics]

An interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective.

Filter by
Sorted by
Tagged with
2 votes
2 answers
94 views

Are there theoretically linguistic inputs that could send an NLP algorithm into infinite loops or break the chatbot?

I was asked an interesting question today by a student in a cybersecurity and information assurance program related to getting spammed by chatbots on snapchat. He's tried many conventional means of ...
user avatar
  • 6,077
0 votes
0 answers
20 views

How to Study Improving In-depth Reading Comprehension?

There are multiple datasets for machine comprehension tasks such as SQuAD. However, most of the questions are straightforward. One can find the answers easily by using the find feature of the browser ...
user avatar
  • 101
0 votes
1 answer
129 views

Are FSA and FSTs used in NLP nowadays?

Finite state automata and transducers are computational models that were widely used decades before in natural language processing for morphological parsing and other nlp tasks. I wonder if these ...
user avatar
2 votes
0 answers
29 views

How does one detect linguistic recursion so as to know how much nesting there is, if any?

To be clear, recursion in linguistics is here better called "nesting" in this CS context to avoid confusing it with the other recursion. How does one detect nesting? I am particularly ...
user avatar
1 vote
0 answers
20 views

EEG and Accelerometer Neural Network

I have frequency EEG data from fall and non-fall events and I am trying to incorporate it with accelerometer data that was collected at the same time. One approach is, of course, to use two separate ...
user avatar
  • 11
2 votes
0 answers
42 views

How can I compare EEG data with accelerometer data in 1 algorithm?

I have frequency EEG data from fall and non-fall events and I am trying to incorporate it with accelerometer data that was collected at the same time. One approach is, of course, to use two separate ...
user avatar
  • 21
4 votes
1 answer
86 views

Which NLP techniques can be used to transform sentences (e.g. from passive to active voice) without affecting their meaning?

I'm looking for NLP techniques to transform sentences without affecting their meaning. For example, techniques that could transform active voice into passive voice, such as The cat was chasing the ...
user avatar
2 votes
2 answers
452 views

Is there a way to understand the type of a sentence?

I am a beginner, just started studying around NLP, specifically various language models. So far, my understanding is that - the goal is to understand/produce natural language. So far the methods I ...
user avatar
5 votes
1 answer
91 views

Is it possible to recognise a person based on what they have written?

I needed to make a system for recognizing people based on hundreds of texts by finding similarities in their written text grammatically or similarities between words they choose for writing. I don't ...
user avatar
  • 53
7 votes
1 answer
2k views

How to recognise metaphors in texts using NLP/NLU?

What are the current NLP/NLU techniques that can extract metaphors from texts? For example His words cut deeper than a knife. Or a simpler form like: Life is a journey that must be travelled no ...
user avatar
1 vote
1 answer
181 views

Neural machine translation, that outputs multiple alternative, ambiguous translations?

Is there neural machine translation methods, that for one input sentence outputs multiple alternative output sentences in that target language. It is quite possible, that sentence in source language ...
user avatar
  • 763
1 vote
1 answer
67 views

What is the name of the NLP technique that determines "who did what to whom" given a sentence?

Within a piece of text, I'm trying to detect who did what to whom. For instance, in the following sentences: CV hit IV. CV was hit by IV. I'd like to know who hit whom. I can't remember what this ...
user avatar
4 votes
1 answer
828 views

How to parse conjunctions in natural language processing?

Is there an accepted way in NLP to parse conjunctions (and/or) in a sentence? By following the example below, how would I parse I drink orange juice if its the weekend or if it's late and I'm ...
user avatar
  • 291
1 vote
1 answer
40 views

"Vocal captcha" for robots on the phone?

With all the Google I/O stuff coming out, how can I verify that I have an actual human on the phone using only voice? Are there still vocal things humans can, but robots can't do? Conditions: the ...
user avatar
  • 111
4 votes
1 answer
67 views

How could an AI interpret the requests of a human without the human needing to specify every detail?

Let the request be the thing that we asked the AI to do, not necessarily using commands. Nowadays, we have our personal AI in our devices: Siri by Apple, Cortana by Microsoft, and so on. Most times, ...
user avatar
7 votes
1 answer
286 views

What is predicate argument recognition?

There is a study about The Necessity of Parsing for Predicate Argument Recognition, however I couldn't find much information about 'Predicate Argument Recognition' which could explain it. What is it ...
user avatar
  • 10k