Questions tagged [computational-linguistics]

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-6 votes
3 answers
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Why has it taken so long to prove that P != NP?

A question that answers itself. If P=NP could be proved in a formal language, then surely it would be as easy to verify the proof as it would be to discover/derive it? Couldn't a program just quickly ...
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-1 votes
2 answers
824 views

Context Sensitive Grammar for the language $\{a^nb^nc^n\mid n≥1\}$

I tried many grammars and so far I got this one: \begin{align} &S \to aXbZ \mid abc \\ &XZ \to Ybcc \\ &Xb \to bX \\ &bY \to Yb \\ &aY \to aa \mid aaX \end{align} Is my grammar ...
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2 votes
3 answers
136 views

How to use DFA/NFA to prove the language {$0^n 𝑥1^𝑛$ | x ∈ Σ*, n ≥ 1} is regular?

I'm trying to prove the language L = {$0^n 𝑥1^𝑛$ | x ∈ Σ*, n ≥ 1} is regular, but don't know how to present it in a DFA/NFA. I'm thinking to have n+1 states in a NFA, with the start state as the ...
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3 votes
0 answers
76 views

What's the meaning of linguistics?

In the programming language theory world, there are two important terminologies, i.e syntax, and semantics. I can understand these two terminologies: syntax is about sentence's structure (e.g. a valid ...
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  • 247
1 vote
0 answers
71 views

What are open problems in computer science? [closed]

I should prepare some paper for a colloquium (kinda student-task) and it should cover the following points: (1) at least one notable discovery in theoretical informatics (or computer science) (2) at ...
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3 votes
0 answers
182 views

Why is part of speech tagging is closely related to word sense disambiguation?

It's written here Word Sense Disambiguation: A Structured Learning Perspective: 2.1 Basics of Word Sense Disambiguation ...the POS is usually provided before WSD. POS tagging is closely ...
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  • 139
1 vote
0 answers
75 views

Combining Computer Science and Humanities

I currently hold a bachelors in Computer science and a masters in Art History. I really want to combine the two and I know of Digital Humanities but I'm not completely aware of where Digital Humanists ...
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  • 11
2 votes
0 answers
19 views

Induction / (machine learning) of Resource Grammars for Grammatical Framework?

Grammatical Framework is based in Abstract Categorial Grammars. It is known that Combinatory Categorial Grammars have grammar induction/learning capabilities see e.g. https://link.springer.com/article/...
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  • 1,351
5 votes
1 answer
231 views

Lambda calculus as the language of universal logic - connectives vs functions in lambda calculus?

I am reading http://okmij.org/ftp/gengo/applicative-symantics/AACG1.pdf and there is defined language TL (see last row in the table on page 4). It seems to me from this definition of TL, that lambda ...
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1 vote
1 answer
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Where do transformational grammars stand in the Chomsky Hierarchy?

From what I understand, natural language are too complicated to be generated by a context-free grammar, yet parsing a context-sensitive grammar is too computationally demanding for our brain to be ...
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  • 111
5 votes
1 answer
344 views

Can lambda-calculus be used for knowledge representation?

Natural language semantics (in computational linguistics) uses lambda terms for expressing the semantics of natural language sentences. There is vast literature about combinatorial categorial grammars ...
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  • 1,351
1 vote
0 answers
144 views

Second-order Markov text generation?

Looking at this video starting at 1:45, the author claims to be using a second-order approximation for a Markov text generation. He has one letter which he outputs followed by another letter which ...
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  • 409
1 vote
1 answer
26 views

N-Grams - how to predict further into the future and how far can we predict?

I am using N-Grams to predict future character input. For n+1, it performs really well. I've been looking, but I have not been able to find any information on what the feasible maximum distance into ...
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  • 183
1 vote
0 answers
14 views

Evaluation of annotation

I'm doing a research on NLG systems. I need to annotate my corpus (~6 million words) automatically. My algorithm works well and I want to calculate Cohen's Kappa. What I cannot understand is the ...
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4 votes
1 answer
150 views

Algorithm to find pronounciation rules

Suppose that you have a large dictionary with spellings and pronounciations of foreign words, and you want to find a set of pronunciation rules. They should have the simplest form: a sequence of ...
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  • 203
0 votes
0 answers
38 views

How can feature structures be applied to text summarization?

I'm looking for innovative ways to create text summaries and I was wondering whether feature structures can be used for such a task. Is it possible to create subsume and unification methods that ...
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  • 111
4 votes
0 answers
733 views

Is English Recursively enumerable? [closed]

The title says it all. I've tried digging up debate on this issue to see a proof one way or the other but it doesn't look like anyone is able to say whether or not it is. Clearly there are recursive ...
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7 votes
3 answers
3k views

Context-free grammar for $L = \{a^{2^k}, k \in\mathbb{N}\}$

In an exercise, I am asked to find a context free grammar for language $L = \{a^{2^k}, k \in \mathbb{N}\}$. I have been trying to use a "doubling" variable. If $a^{2n} \in L, n\in\mathbb{N}$ then use ...
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4 votes
3 answers
798 views

Correct term for “string consisting of words”

In a paper I am writing I want to make distinction between (1) string consisting of any characters and (2) string consisting of a chain of words from known language, with possible delimiters. My ...
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2 votes
1 answer
38 views

Trying to tag parts of a word and keep track of any changes that happen to those parts

I'm a researcher working with a language that has gone through phonological changes through time. I would like to tag parts of a word (i.e. prefix, stem, suffix) and then apply those phonological ...
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  • 121
5 votes
3 answers
5k views

Word classification algorithms

I am looking for algorithms to classify words in a paragraph of text. I am particularly interested in a classification to determine if a certain word is noun, verb, etc., but also looking for any kind ...
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