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In this paper, we describe an approach to sentence categorization which has the originality to be based on natural properties of languages with no training set dependency. The implementation is fast, small, robust and textual errors…

cmp-lg · Computer Science 2016-08-31 Emmanuel Giguet

The ability to process idiomatic or literal multiword expressions is a crucial aspect of understanding and generating any language. The task of generating contextually relevant continuations for narratives containing idiomatic (or literal)…

Computation and Language · Computer Science 2023-11-07 Rhitabrat Pokharel , Ameeta Agrawal

Multilinear Grammar provides a framework for integrating the many different syntagmatic structures of language into a coherent semiotically based Rank Interpretation Architecture, with default linear grammars at each rank. The architecture…

Computation and Language · Computer Science 2017-09-18 Dafydd Gibbon , Sascha Griffiths

We present a method for approximating context-free languages with one-counter automata. This approximation allows the reconstruction of parse trees of the original grammar. We identify a decidable superset of regular languages whose…

Formal Languages and Automata Theory · Computer Science 2017-07-26 Alexander Sakharov

A practical tool for natural language modeling and development of human-machine interaction is developed in the context of formal grammars and languages. A new type of formal grammars, called grammars with prohibition, is introduced.…

Formal Languages and Automata Theory · Computer Science 2013-02-22 Mark Burgin

We propose a new statistical model for computational linguistics. Rather than trying to estimate directly the probability distribution of a random sentence of the language, we define a Markov chain on finite sets of sentences with many…

Machine Learning · Statistics 2013-02-12 Olivier Catoni , Thomas Mainguy

We present a simple new method for proving that languages are not regular. We prove the correctness of the method, illustrate the ease of using the method on well-known examples of nonregular languages, and prove two additional theorems on…

Formal Languages and Automata Theory · Computer Science 2020-01-27 Jack H. Lutz , Giora Slutzki

We show that the language equivalence problem for regular and context-free commutative grammars is coNEXP-complete. In addition, our lower bound immediately yields further coNEXP-completeness results for equivalence problems for…

Formal Languages and Automata Theory · Computer Science 2015-06-26 Christoph Haase , Piotr Hofman

An overarching goal of natural language processing is to enable machines to communicate seamlessly with humans. However, natural language can be ambiguous or unclear. In cases of uncertainty, humans engage in an interactive process known as…

Computation and Language · Computer Science 2021-10-20 Julia White , Gabriel Poesia , Robert Hawkins , Dorsa Sadigh , Noah Goodman

The hyperedge replacement grammar (HRG) formalism is a natural and well-known generalization of context-free grammars. HRGs inherit a number of properties of context-free grammars, e.g. the pumping lemma. This lemma turns out to be a strong…

Formal Languages and Automata Theory · Computer Science 2021-12-22 Tikhon Pshenitsyn

We look at non-classical negations and their corresponding adjustment connectives from a modal viewpoint, over complete distributive lattices, and apply a very general mechanism in order to offer adequate analytic proof systems to logics…

Logic in Computer Science · Computer Science 2016-06-24 Ori Lahav , João Marcos , Yoni Zohar

We present a novel parsing algorithm for all context-free languages, based on computing the relation between configurations and reaching transitions in a recursive transition network. Parsing complexity w.r.t. input length matches the state…

Formal Languages and Automata Theory · Computer Science 2019-02-19 Grzegorz Herman

We propose a new unsupervised method for lexical substitution using pre-trained language models. Compared to previous approaches that use the generative capability of language models to predict substitutes, our method retrieves substitutes…

Computation and Language · Computer Science 2022-09-20 Takashi Wada , Timothy Baldwin , Yuji Matsumoto , Jey Han Lau

We present a new approach to formal language theory using Kolmogorov complexity. The main results presented here are an alternative for pumping lemma(s), a new characterization for regular languages, and a new method to separate…

Computational Complexity · Computer Science 2007-05-23 Ming Li , Paul Vitanyi

We argue for a compositional semantics grounded in a strongly typed ontology that reflects our commonsense view of the world and the way we talk about it. Assuming such a structure we show that the semantics of various natural language…

Artificial Intelligence · Computer Science 2007-05-23 Walid S. Saba

In this paper, we continue the research on the power of contextual grammars with selection languages from subfamilies of the family of regular languages. We investigate various comet-like types of languages and compare such language…

Formal Languages and Automata Theory · Computer Science 2024-09-12 Marvin Ködding , Bianca Truthe

Free-text rationales justify model decisions in natural language and thus become likable and accessible among approaches to explanation across many tasks. However, their effectiveness can be hindered by misinterpretation and hallucination.…

Computation and Language · Computer Science 2025-06-04 Yi-Sheng Hsu , Nils Feldhus , Sherzod Hakimov

Given a regular language L, we effectively construct a unary semigroup that recognizes the topological closure of L in the free unary semigroup relative to the variety of unary semigroups generated by the pseudovariety R of all finite…

Group Theory · Mathematics 2023-01-31 Jorge Almeida , José Carlos Costa , Marc Zeitoun

Semantically non-compositional phrases constitute an intriguing research topic in Natural Language Processing. Semantic non-compositionality --the situation when the meaning of a phrase cannot be derived from the meaning of its components,…

Computation and Language · Computer Science 2019-08-16 Meghdad Farahmand

We propose Blank Language Model (BLM), a model that generates sequences by dynamically creating and filling in blanks. The blanks control which part of the sequence to expand, making BLM ideal for a variety of text editing and rewriting…

Computation and Language · Computer Science 2020-11-18 Tianxiao Shen , Victor Quach , Regina Barzilay , Tommi Jaakkola