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Given a pseudoword over suitable pseudovarieties, we associate to it a labeled linear order determined by the factorizations of the pseudoword. We show that, in the case of the pseudovariety of aperiodic finite semigroups, the pseudoword…

Formal Languages and Automata Theory · Computer Science 2019-06-26 Jorge Almeida , Alfredo Costa , José Carlos Costa , Marc Zeitoun

In this paper, we reconsider the unfolding-based technique that we have introduced previously for detecting loops in standard term rewriting. We improve it by guiding the unfolding process, using distinguished positions in the rewrite…

Programming Languages · Computer Science 2018-11-09 Etienne Payet

We consider the problem of recognizing a vocabulary--a collection of words (sequences) over a finite alphabet--from a potential subsequence of one of its words. We assume the given subsequence is received through a deletion channel as a…

Information Theory · Computer Science 2009-04-23 Majid Fozunbal

Pre-trained word embeddings learned from unlabeled text have become a standard component of neural network architectures for NLP tasks. However, in most cases, the recurrent network that operates on word-level representations to produce…

Computation and Language · Computer Science 2017-05-02 Matthew E. Peters , Waleed Ammar , Chandra Bhagavatula , Russell Power

Dimension reduction of multivariate data supervised by auxiliary information is considered. A series of basis for dimension reduction is obtained as minimizers of a novel criterion. The proposed method is akin to continuum regression, and…

Methodology · Statistics 2018-06-29 Sungkyu Jung

We define multilevel text normalization as sequence-to-sequence processing that transforms naturally noisy text into a sequence of normalized units of meaning (morphemes) in three steps: 1) writing normalization, 2) lemmatization, 3)…

Computation and Language · Computer Science 2019-04-01 Tatyana Ruzsics , Tanja Samardžić

An M-sequence generated by a primitive polynomial has many interesting and desirable properties. A pseudo-random array is the two-dimensional generalization of an M-sequence. There are non-primitive polynomials all of whose non-zero…

Information Theory · Computer Science 2025-08-20 Simon Blackburn , Yeow Meng Chee , Tuvi Etzion , Huimin Lao

We describe a data-driven approach for automatically explaining new, non-standard English expressions in a given sentence, building on a large dataset that includes 15 years of crowdsourced examples from UrbanDictionary.com. Unlike prior…

Computation and Language · Computer Science 2017-09-28 Ke Ni , William Yang Wang

We give a simple order-theoretic construction of a Cartesian closed category of sequential functions. It is based on bistable biorders, which are sets with a partial order -- the extensional order -- and a bistable coherence, which captures…

Programming Languages · Computer Science 2017-01-11 James Laird

Current benchmark tasks for natural language processing contain text that is qualitatively different from the text used in informal day to day digital communication. This discrepancy has led to severe performance degradation of…

Computation and Language · Computer Science 2021-10-13 Ana-Maria Bucur , Adrian Cosma , Liviu P. Dinu

Tensor decomposition methods allow us to learn the parameters of latent variable models through decomposition of low-order moments of data. A significant limitation of these algorithms is that there exists no general method to regularize…

Machine Learning · Statistics 2019-05-28 Omer Gottesman , Weiwei Pan , Finale Doshi-Velez

This paper concerns a specific class of strict standard episturmian words whose directive words resemble those of characteristic Sturmian words. In particular, we explicitly determine all integer powers occurring in such infinite words,…

Combinatorics · Mathematics 2010-03-16 Amy Glen

We introduce the notion of unavoidable (complete) sets of word patterns, which is a refinement for that of words, and study certain numerical characteristics for unavoidable sets of patterns. In some cases we employ the graph of pattern…

Combinatorics · Mathematics 2007-05-23 Alexander Burstein , Sergey Kitaev

Recovering high-level type information in binaries is a key task in reverse engineering and binary analysis. Binaries contain very little explicit type information. The structure of binary code is incredibly flexible allowing for ad-hoc…

Programming Languages · Computer Science 2024-09-04 Ian Smith

Bidirectional typing is a discipline in which the typing judgment is decomposed explicitly into inference and checking modes, allowing to control the flow of type information in typing rules and to specify algorithmically how they should be…

Logic in Computer Science · Computer Science 2024-04-22 Thiago Felicissimo

We propose algebraic protocols that enable the definition of protocol templates and session types analogous to the definition of domain-specific types with algebraic datatypes. Parameterized algebraic protocols subsume all regular as well…

Programming Languages · Computer Science 2023-04-10 Andreia Mordido , Janek Spaderna , Peter Thiemann , Vasco T. Vasconcelos

We present a new recursive generation algorithm for prefix normal words. These are binary strings with the property that no substring has more 1s than the prefix of the same length. The new algorithm uses two operations on binary strings,…

Data Structures and Algorithms · Computer Science 2024-04-16 Ferdinando Cicalese , Zsuzsanna Lipták , Massimiliano Rossi

We show that, with the exception of the words $a^2ba^2$ and $b^2ab^2$, all (finite or infinite) binary patterns in the Prouhet-Thue-Morse sequence can actually be found in that sequence as segments (up to exchange of letters in the infinite…

Combinatorics · Mathematics 2023-06-22 Jorge Almeida , Ondřej Klíma

Chen, Kitaev, M\"{u}tze, and Sun recently introduced the notion of universal partial words, a generalization of universal words and de Bruijn sequences. Universal partial words allow for a wild-card character $\diamond$, which is a…

Binary concepts are empirically used by humans to generalize efficiently. And they are based on Bernoulli distribution which is the building block of information. These concepts span both low-level and high-level features such as "large vs…

Machine Learning · Computer Science 2023-03-23 Zizhao Hu , Mohammad Rostami