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In this paper we show that an account for coordination can be constructed using the derivation structures in a lexicalized Tree Adjoining Grammar (LTAG). We present a notion of derivation in LTAGs that preserves the notion of fixed…

cmp-lg · Computer Science 2008-02-03 Anoop Sarkar , Aravind Joshi

A perspective of statistical language models which emphasizes their collocational aspect is advocated. It is suggested that strings be generalized in terms of classes of relationships instead of classes of objects. The single most important…

cmp-lg · Computer Science 2008-02-03 Robert John Freeman

In this work we define formal grammars in terms of free monoidal categories, along with a functor from the category of formal grammars to the category of automata. Generalising from the Booleans to arbitrary semirings, we extend our…

Formal Languages and Automata Theory · Computer Science 2020-01-13 Dan Shiebler , Alexis Toumi , Mehrnoosh Sadrzadeh

In this paper, we present an open-source parsing environment (Tuebingen Linguistic Parsing Architecture, TuLiPA) which uses Range Concatenation Grammar (RCG) as a pivot formalism, thus opening the way to the parsing of several mildly…

Computation and Language · Computer Science 2009-09-29 Laura Kallmeyer , Timm Lichte , Wolfgang Maier , Yannick Parmentier , Johannes Dellert , Kilian Evang

Compositional generalization is one of the main properties which differentiates lexical learning in humans from state-of-art neural networks. We propose a general framework for building models that can generalize compositionally using the…

Computation and Language · Computer Science 2024-02-05 Mircea Petrache , Shubhendu Trivedi

In Chapter 1 we fully characterise pairs of finite graphs which form a gap in the full homomorphism order. This leads to a simple proof of the existence of generalised duality pairs. We also discuss how such results can be carried to…

Combinatorics · Mathematics 2018-01-04 Yangjing Long

We address the issue of how to associate frequency information with lexicalized grammar formalisms, using Lexicalized Tree Adjoining Grammar as a representative framework. We consider systematically a number of alternative probabilistic…

cmp-lg · Computer Science 2008-02-03 John Carroll , David Weir

We introduce regular languages of morphisms in free monoidal categories, with their associated grammars and automata. These subsume the classical theory of regular languages of words and trees, but also open up a much wider class of…

Formal Languages and Automata Theory · Computer Science 2022-07-04 Matthew Earnshaw , Paweł Sobociński

Context-free languages can be characterized in several ways. This article studies projective linearisations of languages of simple dependency trees, i.e., dependency trees in which a node can govern at most one node with a given syntactic…

Formal Languages and Automata Theory · Computer Science 2024-01-17 Carles Cardó

Lexical semantic typology has identified important cross-linguistic generalizations about the variation and commonalities in polysemy patterns---how languages package up meanings into words. Recent computational research has enabled…

Computation and Language · Computer Science 2020-06-04 Ella Rabinovich , Yang Xu , Suzanne Stevenson

The definition of graph automatic groups by Kharlampovich, Khoussainov and Miasnikov and its extension to C-graph automatic by Murray Elder and the first author raise the question of whether Thompson's group F is graph automatic. We define…

Group Theory · Mathematics 2015-01-21 Jennifer Taback , Sharif Younes

We present an integrated architecture for word-level and sentence-level processing in a unification-based paradigm. The core of the system is a CLP implementation of a unification engine for feature structures supporting relational values.…

cmp-lg · Computer Science 2008-02-03 Harald Trost , Johannes Matiasek

We present an approach for assessing how multilingual large language models (LLMs) learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent and dependency structures by casting parsing as sequence…

Computation and Language · Computer Science 2023-09-21 Alberto Muñoz-Ortiz , David Vilares , Carlos Gómez-Rodríguez

Syntactic Transformer language models aim to achieve better generalization through simultaneously modeling syntax trees and sentences. While prior work has been focusing on adding constituency-based structures to Transformers, we introduce…

Computation and Language · Computer Science 2024-07-25 Yida Zhao , Chao Lou , Kewei Tu

Different from other sequential data, sentences in natural language are structured by linguistic grammars. Previous generative conversational models with chain-structured decoder ignore this structure in human language and might generate…

Artificial Intelligence · Computer Science 2018-01-04 Ganbin Zhou , Ping Luo , Rongyu Cao , Yijun Xiao , Fen Lin , Bo Chen , Qing He

A structural time series model additively decomposes into generative, semantically-meaningful components, each of which depends on a vector of parameters. We demonstrate that considering each generative component together with its vector of…

Methodology · Statistics 2020-09-16 David Rushing Dewhurst

Graph grammars extend the theory of formal languages in order to model distributed parallelism in theoretical computer science. We show here that to certain classes of context-free and context-sensitive graph grammars one can associate a…

Formal Languages and Automata Theory · Computer Science 2015-03-02 Matilde Marcolli , Alexander Port

We give an algebraic characterization of the tree languages that are defined by logical formulas using certain Lindstr\"om quantifiers. An important instance of our result concerns first-order definable tree languages. Our characterization…

Logic in Computer Science · Computer Science 2010-06-21 Zoltan Esik , Pascal Weil

Lambek Grammars (LG) are a computational modelling of natural language, based on non-commutative compositional types. It has been widely studied, especially for languages where the syntax plays a major role (like English). The goal of this…

Computation and Language · Computer Science 2020-02-04 Valentin D. Richard

State-of-the-art LSTM language models trained on large corpora learn sequential contingencies in impressive detail and have been shown to acquire a number of non-local grammatical dependencies with some success. Here we investigate whether…

Computation and Language · Computer Science 2019-04-09 Ethan Wilcox , Peng Qian , Richard Futrell , Miguel Ballesteros , Roger Levy
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