An interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective.
See: Computational linguistics at Wikipedia.
Questions tagged [computational-linguistics]
18 questions
7
votes
1 answer
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 matter how bad the roads and accommodations.
Younes Ch
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7
votes
1 answer
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 exactly and how does it work, briefly?
kenorb
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5
votes
1 answer
What can GPT-4 do linguistics-wise?
I have no access to GPT-4, but I wonder whether it can do the following (where ChatGPT failed).
Make syntactic and morphological analysis of sentences in a language like Russian, marking cases, parts of speech and sentence, conjugations of verbs,…
Anixx
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5
votes
1 answer
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 want it so accurate, but I wanted to know if it is…
Stick
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4
votes
1 answer
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 tired.
into
it's the weekend
and
it's late
and…
tim_xyz
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4
votes
1 answer
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, when we ask them to do certain tasks, they do the…
A Cat Named Tiger
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4
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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 mouse.
to
The mouse was being chased by the…
user28018
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2
votes
2 answers
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 blocking them, but he's still getting…
DukeZhou
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2
votes
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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 interested in the example case of conjunctions. For example: say…
JohnnyApplesauce
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2
votes
0 answers
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 algorithms and find the threshold for each. Then…
sam
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2
votes
2 answers
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 have studied speak about correlation of words,…
Dibyajyoti Mohapatra
- 21
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1
vote
1 answer
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 have multiple meanings and it is not desirable…
TomR
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1
vote
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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 technique is called.
tmthyjames
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1
vote
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"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 person on the phone is a stranger (so personal…
Overleaf
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1
vote
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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 algorithms and find the threshold for each. Then…
sam
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