Questions tagged [computer-science]
The computer-science tag has no usage guidance.
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Are there dictionaries which use Venn diagrams or set theory to clarify similarities between words?
Do there exist dictionaries containing
lists of many different specific, not general, definitions of a word x
lists of many detailed definitions or examples of a word y
Venn diagrams showing which ...
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Are there two senses of "grammar" with respect to semantics?
Are there two senses of "grammar"?
Is it correct that
in linguistics, semantics (and maybe also pragmatics) belongs to and is specified in grammar? (My impression from limited reading of a ...
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Generating random logically consistent chains of sentences
I'm interested in generating random logically consistent chains of natural language sentences. I don't know anything about computational linguistics. I'm wondering if there are software packages or ...
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Is it OK to render Hebrew words with the final form missing?
I am an english-speaking software developer who has recently added support for the rendering of right-to-left languages in the software I maintain. This involved using ICU to find visual runs of text ...
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Is there a most "efficient" / most "simple" / most "logical" language?
Maybe put another way: Is there an ideal spoken language for computers? One example trait would be if it rigorously follows rules.
I am in the early stages of designing code to translate written and ...
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Reversing text -- how do different cultures and languages approach this?
In computer science, there's a "basic problem" called string reversal. You take a piece of text, and flip it so it reads backwards. "abcd" becomes "dcba", etc. There's ...
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ValueError: Can not squeeze dim[1], expected a dimension of 1
I want to buil a sequential LSTM model that predicts binary classification at every time step. More exactly, I want to predict an output for every paragraph in my texts (48 is the number of paragraphs)...
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Automatic sentence negation
I am looking for an automatic sentence negation tool. Something that will be able to perform conversions like:
"this ball is large" ---> "this ball is small"
"you should ...
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Is formal semantics useful for computational linguistics and NLP?
I browsed the table of content of Cann's Formal Semantics. Cann's book is for linguistics, and am I right that it is helpful for computational linguistics and natural language processing?
But it also ...
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Seq2seq translation model. ValueError: An operation has `None` for gradient
So I'm trying to build a seq2seq encoder-decoder network for a translation task. I've been stuck now for a while, I have no idea how to fix the error I'm getting and would appreciate any help.
My code ...
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Natural languages, programming languages, and information theory
The background
The use of the context-free grammars in linguistics often prompts comparison with programming languages (e.g., see this question). Despite the formal structure similarities, I would ...
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Do humans differ from other animals by being able to push and pop memory?
The Chomsky hierarchy of types 0,1,2,3 grammars correspond, as he showed, to the abstract automata classified in accordance with their use of memory. The type 2 grammars, the context free phrase ...
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Find the 5 most-different-from-each other adjectives in the English language
I am trying to find a set of N common adjectives that are the least-used with each other in English.
TLDR:
Basically if you were creating a new language that was only going to have N adjectives and ...
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Are European Union parallel multilingual texts ideal for machine learning of machine translation?
Are European Union parallel multilingual texts - regulations, directives, especially the debates of European parliament - ideal for machine learning of machine translation, e.g. with neural networks? ...
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Can we simulate the pronunciation of sounds that we can't make?
There's certain non-filled places in the IPA chart because we physically can't pronounce them. For example, a velar trill or glottal trill.
Using computers, is it possible that we could simulate how ...
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Why does matching any root of a question to any root of potential answers gives better text understanding results?
I'm trying to find a way to prevent Intelligent Agents with Reading Comprehension and Question Answering abilities to answer question from documents from a given dataset.
After dependency parsing we ...
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Formalization and representation of semantic and pragmatic knowledge? [closed]
Are there efforts to formalize and formally represent (e.g. as semantic network, as some kind of logic) of semantic of pragmatic knowledge. It is known, that every speaker/listener has two types of ...
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Is there a linguistics equivalent to Turing completeness?
In computer science, programming languages can be described in terms of "Turing completeness", basically, whether a programming language is capable of expressing any* algorithm. A non-Turing-complete ...
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Speech and Language Processing without Representation of Language?
While reading in the literature about text processing I found this scientific paper about text classification using artificial neural nets. The authors feed their convolutional neural network with ...
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Hidden Markov Models: Linking states to labels after EM training
The tl;dr version first:
I have the following problem: I implemented Baum Welch for ergodic HMMs. I do it like this:
I pass the model two number C1 and C2, it builds a fully connected state machine ...
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Simple bigram letter model
I am working through an exercise where, given a set of corpora, I will implement a simple model on a test corpus to determine the most likely corpus.
Say the corpora with which I want to learn are ...
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Support vector machines for stress prediction
I am fairly new to support vector machines and I was thinking about whether or not I could use them to tackle a specific research question in linguistics:
My goal would be to find the probabilities ...
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OpenNLP - Is training still required for abbreviation even with abbreviation dictionary?
I just used OpenNLP for a small program where I was supposed to segment a paragraph into sentences.
Although I was able to complete the task after reading some documentation and going through their ...
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How to find a given text's complexity?
I'm working on an application to teach English to people. In this application I need to classify texts based on many factors:
What is the current knowledge the learner
What is his/her interests
How ...
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Which writing script can represent all human sounds?
Being a Nepali language speaker, I can easily produce most sounds in Devanagari script as every letter has the same sound despite the place of use.
But there may be many sounds that are not ...
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What is the difference between AUG and CCG?
What is the difference between Applicative Universal Grammar and Combinatory Categorial Grammar? They both use type inference rules to define their grammars. Is it simply that CCG uses combinatory ...
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Why are functional/logic programming languages like Prolog or Haskell popular with computational linguistics and AI?
This may be the wrong place to be asking this question, but I'm not entirely sure what kind of advantage using a language like Prolog gives you over an object-oriented language like Python.
Is there a ...
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Any difference between natural and programming languages?
First of all, as a native German speaker, I apologise for my incorrect use of the English language.
After thinking about some different languages and wandering astray on this exact Stack Exchange, I ...
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Is linguistics limited to natural languages?
Or would linguistics also include the study of accessory languages like esperanto, artificial languages like Klingon, or even programming languages?
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Which part of speech are 's' and 'r' in Wordnet?
From taking the synset of the word 'fantastic', I got a list of senses below:
[Synset('antic.s.01'), Synset('fantastic.s.02'), Synset('fantastic.s.03'), Synset('fantastic.s.04'), Synset('fantastic.s....
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Does the P versus NP conjecture in computer science have any direct relevance to linguistics?
From Wikipedia:
The P versus NP problem is a major unsolved problem in computer science. Informally, it asks whether every problem whose solution can be quickly verified by a computer can also be ...
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Checking grammar of non-English text (NLP)
I am writing a program that will take input from users in non-English languages (German, French, Spanish, Italian, and Portuguese) and will need to determine whether the input is grammatically correct....
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Can parsing be classified to some complexity class (e.g. NP-complete)?
In computer science (especially computational complexity theory), problems can be classified to some complexity theory. For example, we say the travelling salesman problem belongs to NP-complete.
...
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