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Language models for agglutinative languages have always been hindered in past due to myriad of agglutinations possible to any given word through various affixes. We propose a method to diminish the problem of out-of-vocabulary words by…

Computation and Language · Computer Science 2017-08-21 Seunghak Yu , Nilesh Kulkarni , Haejun Lee , Jihie Kim

This study addresses a series of methodological questions that arise when modeling inflectional morphology with Linear Discriminative Learning. Taking the semi-productive German noun system as example, we illustrate how decisions made about…

Computation and Language · Computer Science 2021-11-19 Maria Heitmeier , Yu-Ying Chuang , R. Harald Baayen

The integration of generative Large Language Models (LLMs) into various applications, including the legal domain, has been accelerated by their expansive and versatile nature. However, when facing a legal case, users without a legal…

Computation and Language · Computer Science 2024-06-07 Yang Wu , Chenghao Wang , Ece Gumusel , Xiaozhong Liu

This paper shows the debugging facilities provided by the SLAM system. The SLAM system includes i) a specification language that integrates algebraic specifications and model-based specifications using the object oriented model. Class…

Programming Languages · Computer Science 2007-05-23 Angel Herrranz-Nieva Juan Jose Moreno Navarro

In recent years, a flurry of morphological datasets had emerged, most notably UniMorph, a multi-lingual repository of inflection tables. However, the flat structure of the current morphological annotation schema makes the treatment of some…

Computation and Language · Computer Science 2022-03-22 David Guriel , Omer Goldman , Reut Tsarfaty

This paper presents a joint model for performing unsupervised morphological analysis on words, and learning a character-level composition function from morphemes to word embeddings. Our model splits individual words into segments, and…

Computation and Language · Computer Science 2016-06-09 Kris Cao , Marek Rei

This paper presents a Prolog-based reasoning module to generate counterfactual explanations given the predictions computed by a black-box classifier. The proposed symbolic reasoning module can also resolve what-if queries using the…

Machine Learning · Computer Science 2022-11-21 Gonzalo Nápoles , Fabian Hoitsma , Andreas Knoben , Agnieszka Jastrzebska , Maikel Leon Espinosa

A grammar formalism based upon CHR is proposed analogously to the way Definite Clause Grammars are defined and implemented on top of Prolog. These grammars execute as robust bottom-up parsers with an inherent treatment of ambiguity and a…

Computation and Language · Computer Science 2007-05-23 Henning Christiansen

Critical to natural language generation is the production of correctly inflected text. In this paper, we isolate the task of predicting a fully inflected sentence from its partially lemmatized version. Unlike traditional morphological…

Computation and Language · Computer Science 2019-05-07 Ekaterina Vylomova , Ryan Cotterell , Timothy Baldwin , Trevor Cohn , Jason Eisner

Despite an ever growing number of word representation models introduced for a large number of languages, there is a lack of a standardized technique to provide insights into what is captured by these models. Such insights would help the…

Computation and Language · Computer Science 2019-12-12 Gözde Gül Şahin , Clara Vania , Ilia Kuznetsov , Iryna Gurevych

Here we define a new unification algorithm for terms interpreted in semantic domains denoted by a subclass of regular types here called deterministic regular types. This reflects our intention not to handle the semantic universe as a…

Logic in Computer Science · Computer Science 2025-02-14 João Barbosa , Mário Florido , Vítor Santos Costa

The programming language Prolog makes declarative programming possible, at least to a substantial extent. Programs may be written and reasoned about in terms of their declarative semantics. All the advantages of declarative programming are…

Logic in Computer Science · Computer Science 2023-08-31 Włodzimierz Drabent

Inflection graphs are highly complex networks representing relationships between inflectional forms of words in human languages. For so-called synthetic languages, such as Latin or Polish, they have particularly interesting structure due to…

Cellular Automata and Lattice Gases · Physics 2023-12-18 Henryk Fukś , Babak Farzad , Yi Cao

The linguistic abilities of Large Language Models are a matter of ongoing debate. This study contributes to this discussion by investigating model performance in a morphological generalization task that involves novel words. Using a…

Computation and Language · Computer Science 2026-04-02 Nikoleta Pantelidou , Evelina Leivada , Raquel Montero , Paolo Morosi

This paper describes a parsing/generation system for finite verbal forms in Akkadian, with the possible addition of suffixes, implemented in Prolog. The work described provides the framework and engine to interpret the D, N, and G stems…

Computation and Language · Computer Science 2024-10-17 Aaron Macks

We present the latest version of the Spanish Resource Grammar (SRG), a grammar of Spanish implemented in the HPSG formalism. Such grammars encode a complex set of hypotheses about syntax making them a resource for empirical testing of…

Computation and Language · Computer Science 2024-03-27 Olga Zamaraeva , Lorena S. Allegue , Carlos Gómez-Rodríguez

Pronunciation dictionaries are an important component in the process of speech forced alignment. The accuracy of these dictionaries has a strong effect on the aligned speech data since they help the mapping between orthographic…

Computation and Language · Computer Science 2024-07-23 Simon Gonzalez

Procedural computer languages have long been used in many aspects of mathematics pedagogy. In this work, we examine the use of Prolog, a declarative language for the same purpose. We find the facts+rules aspect of Prolog to be a novel…

Computers and Society · Computer Science 2021-08-24 Tom Bensky

We present a novel framework that integrates Large Language Models (LLMs) with automated planning and formal verification to streamline the creation and use of Markov Decision Processes (MDP). Our system leverages LLMs to extract structured…

Robotics · Computer Science 2026-01-12 Enrico Saccon , Davide De Martini , Matteo Saveriano , Edoardo Lamon , Luigi Palopoli , Marco Roveri

Human translators routinely have to translate rare inflections of words - due to the Zipfian distribution of words in a language. When translating from Spanish, a good translator would have no problem identifying the proper translation of a…

Computation and Language · Computer Science 2019-10-23 Paula Czarnowska , Sebastian Ruder , Edouard Grave , Ryan Cotterell , Ann Copestake