Hasil untuk "Comparative grammar"

Angelika Lis

This article analyses Malina by Ingeborg Bachmann, focusing on its structure, themes, reception and translation into Polish. The author discusses the challenges faced by translator Sławomir Błaut, emphasising his fidelity to the original, linguistic precision and ability to convey Bachmann’s poetic and fragmentary style. The text indicates that the difficult language, literary innovation and cultural differences influenced the niche reception of the novel in Poland, despite its high artistic and research value.

Marileide Dias Esqueda, Igor Antônio Lourenço da Silva

The escalating global prominence of the game industry underscores the critical need for specialized translation and localization expertise. This article presents a case study of the Undergraduate Program in Translation at Universidade Federal de Uberlândia, a Brazilian public university that has been providing dedicated training in game localization for the last 15 years. The core of the Federal University of Uberlândia’s offering is a 60-hour course, that spans foundational localization concepts like transcreation and culturalization, as well as advanced technical skills, including computer-assisted translation, machine translation, and generative artificial intelligence. Its pedagogical approach integrates theoretical knowledge with practical application through lectures, workshops, and game localization projects, frequently leveraging open-source resources. Students gain experience by collaborating in teams, and emulating professional workflows. Further enhancing the training, students complete a senior thesis, often focusing on game localization, where they detail their experiences in technically adapting games. This research draws upon existing literature and employs an autoethnographic approach, critically reflecting on our experiences as trainers and thesis supervisors through personal archives, didactic materials, and learning tasks. Complementarily, a bibliometric and content analysis of past senior theses provides empirical data. A notable challenge addressed is the scarcity of game localization-specific teaching materials, prompting the program’s proactive development of resources tailored to the Brazilian market. This study thus aims to contribute to a specialized localization training.

Karen Bauer, Beate Lindemann

This study investigates the situation of German language education in Denmark and Norway. The focus is on the causes of declining interest and the measures taken by educational authorities to promote German language skills. The research addresses the measures proposed and recommended by national educational authorities, how such measures are implemented in educational institutions, and how well these measures are known and applied by local experts, such as German teachers and employees in the field of German language education/teacher education at colleges and universities. This study employed an online survey methodology to examine German language education in Denmark and Norway. More than 400 teachers and 40 employees from universities and colleges responded to the survey. Qualitative content analysis was then applied to the resulting data. The findings reveal a clear discrepancy in the practical application of governmental documents within school and higher education settings. The study suggests provision of specific German language curricula, ongoing teacher training, and sustained funding for innovative language education practices. It emphasizes the need for practical implementation of government strategies and long-term support for educational initiatives.

Alireza Mahmoodi

The aim of this study is to investigate and check the naturalness and markedness of Old and Modern English personal pronouns through the bi-uniqueness parameter, which is one of the parameters of natural morphology theory. The results showed that these two languages did not violate bi-uniqueness in first person pronouns, but in second and third person, violations are observed. In Modern English, the pronouns you and it and in Old English, the pronouns þē, inc, ēow, hī, hēo, him, hit and his violated bi-uniqueness and are unnatural and marked. It has also been observed that Old English violated bi-uniqueness more than Modern English.

Stefan Mautner, Rolf Backofen, Fabrizio Costa

Generative methods for graphs need to be sufficiently flexible to model complex dependencies between sets of nodes. At the same time, the generated graphs need to satisfy domain-dependent feasibility conditions, that is, they should not violate certain constraints that would make their interpretation impossible within the given application domain (e.g. a molecular graph where an atom has a very large number of chemical bounds). Crucially, constraints can involve not only local but also long-range dependencies: for example, the maximal length of a cycle can be bounded. Currently, a large class of generative approaches for graphs, such as methods based on artificial neural networks, is based on message passing schemes. These approaches suffer from information 'dilution' issues that severely limit the maximal range of the dependencies that can be modeled. To address this problem, we propose a generative approach based on the notion of graph grammars. The key novel idea is to introduce a domain-dependent coarsening procedure to provide short-cuts for long-range dependencies. We show the effectiveness of our proposal in two domains: 1) small drugs and 2) RNA secondary structures. In the first case, we compare the quality of the generated molecular graphs via the Molecular Sets (MOSES) benchmark suite, which evaluates the distance between generated and real molecules, their lipophilicity, synthesizability, and drug-likeness. In the second case, we show that the approach can generate very large graphs (with hundreds of nodes) that are accepted as valid examples for a desired RNA family by the "Infernal" covariance model, a state-of-the-art RNA classifier. Our implementation is available on github: github.com/fabriziocosta/GraphLearn

Yosuke Mikami, Daiki Matsuoka, Hitomi Yanaka

Natural Language Inference (NLI) involving comparatives is challenging because it requires understanding quantities and comparative relations expressed by sentences. While some approaches leverage Large Language Models (LLMs), we focus on logic-based approaches grounded in compositional semantics, which are promising for robust handling of numerical and logical expressions. Previous studies along these lines have proposed logical inference systems for English comparatives. However, it has been pointed out that there are several morphological and semantic differences between Japanese and English comparatives. These differences make it difficult to apply such systems directly to Japanese comparatives. To address this gap, this study proposes ccg-jcomp, a logical inference system for Japanese comparatives based on compositional semantics. We evaluate the proposed system on a Japanese NLI dataset containing comparative expressions. We demonstrate the effectiveness of our system by comparing its accuracy with that of existing LLMs.

Yi Yu, Zhenxing Hu

Explainable recommendation through counterfactual reasoning seeks to identify the influential aspects of items in recommendations, which can then be used as explanations. However, state-of-the-art approaches, which aim to minimize changes in product aspects while reversing their recommended decisions according to an aggregated decision boundary score, often lead to factual inaccuracies in explanations. To solve this problem, in this work we propose a novel method of Comparative Counterfactual Explanations for Recommendation (CoCountER). CoCountER creates counterfactual data based on soft swap operations, enabling explanations for recommendations of arbitrary pairs of comparative items. Empirical experiments validate the effectiveness of our approach.

Michalina Piotrowska

This paper seeks to analyse two translations of Andrzej Sapkowski’s books Ostatnie życzenie (The Last Wish) and Miecz przeznaczenia (Sword of Destiny) with the focus on pronouns used by the author and translators (Danusia Stok and David French) in relation to the supernatural creatures presented in the short stories. The text deals with the impact these pronouns can have on the perception of such creatures. The changes introduced in the translation of both texts and their possible consequences are discussed. The manipulation of certain terms may result in the humanization or dehumanization of supernatural creatures, which may – in turn – result in different effects the story has on the reader.

Maciej Sikora, Albert Oliver-Serra, Leszek Siwik et al.

In this paper, we present two computational methods for performing simulations of pollution propagation described by advection-diffusion equations. The first method employs graph grammars to describe the generation process of the computational mesh used in simulations with the meshless solver of the three-dimensional finite element method. The graph transformation rules express the three-dimensional Rivara longest-edge refinement algorithm. This solver is used for an exemplary application: performing three-dimensional simulations of pollution generation by the coal-burning power plant and its propagation in the city of Longyearbyen, the capital of Spitsbergen. The second computational code is based on the Physics Informed Neural Networks method. It is used to calculate the dissipation of the pollution along the valley in which the city of Longyearbyen is located. We discuss the instantiation and execution of the PINN method using Google Colab implementation. We discuss the benefits and limitations of the PINN implementation.

Yuhao Dan, Junfeng Tian, Jie Zhou et al.

Data-to-Text Generation (D2T), a classic natural language generation problem, aims at producing fluent descriptions for structured input data, such as a table. Existing D2T works mainly focus on describing the superficial associative relations among entities, while ignoring the deep comparative logical relations, such as A is better than B in a certain aspect with a corresponding opinion, which is quite common in our daily life. In this paper, we introduce a new D2T task named comparative logical relation generation (CLRG). Additionally, we propose a Comparative Logic (CoLo) based text generation method, which generates texts following specific comparative logical relations with contrastive learning. Specifically, we first construct various positive and negative samples by fine-grained perturbations in entities, aspects and opinions. Then, we perform contrastive learning in the encoder layer to have a better understanding of the comparative logical relations, and integrate it in the decoder layer to guide the model to correctly generate the relations. Noting the data scarcity problem, we construct a Chinese Comparative Logical Relation Dataset (CLRD), which is a high-quality human-annotated dataset and challenging for text generation with descriptions of multiple entities and annotations on their comparative logical relations. Extensive experiments show that our method achieves impressive performance in both automatic and human evaluations.

Gilbert PUECH

Maltese is the 'national' language of the people in the sister-islands of Malta and Gozo. Originally Arabic, Maltese vocabulary has been massively expanded by borrowings from Romance (Sicilian/Italian), and more recently English. Influential contributions in (post)generative phonology and Optimality Theory claim that Maltese phonology is based on the interaction of (Palestinian Arabic type) stress assignment with syncope, and cyclic application of rules/constraints. This approach fails in some cases for Arabic Maltese, and is inoperative for borrowed vocabulary. I argue for distributing morphological constituents in three domains. The stem-domain heads a radical base, to which a preformative morph may be incorporated, and inflectional circumfixes. The Lexical-item domain heads the stem-node to which (in)direct pronominal objects may be concatenated. Clitics are adjoined to the phonological-word domain. All exponents are mapped on the linearized segmental tier. Trochaic stems satisfying morpho-lexical constraints are built in a pre-lexical phase. Vocalism is underlyingly specified or assigned by default, including ‘reverse-imāla’. In a lexical phase, OCP and Licensing shape syllabic stem-profiles to satisfy morpho-prosodic constraints. In the post-lexical phase, surface forms are generated by application of phonological processes: stress assignment, vowel length and quality, voice alteration in obstruents. A model of 'Weak CV Phonology', distantly related to Strict CV Phonology, is drawn up. Segmental representations are analyzed in monovalent elements. Maltese has often been presented as a 'mixed' language with two strata of vocabulary and two morphologies: root-and-pattern, non-concatenative for template-bound vocabulary, concatenative for loan-words. I claim that Maltese consistently requires templatic, concatenative and word-based morphology.

Yurika Ito

Abstract Due to the chaos and confusion caused by the sudden transition from face-to-face teaching to online and remote teaching in early 2020, numerous language teachers had no choice but to rely on online communities on social networking sites. The current study therefore examined how some language teachers were utilising online communities on Facebook during the COVID-19 pandemic. Employing a mixed-methods approach, data were mainly collected through: (1) an eight-month observation of a technology-focused language teacher community on Facebook to identify different types of posts generated by its members before and during the COVID-19 pandemic (n = 340); (2) a questionnaire to understand the community members’ backgrounds and experiences of being in the community (n = 51); (3) semi-structured interviews with some of the questionnaire participants (n = 13); and (4) a post-interview questionnaire (n = 12) to get a better understanding of their responses. A content analysis of online posts and community members’ responses suggest that language teacher communities on Facebook were supporting teachers during the stressful periods of the pandemic professionally and emotionally. The main findings are discussed in terms of the benefits and drawbacks of using online language teacher communities for professional purposes. The overall goal of the study is to offer much-needed answers on how pre-existing communities can be used to assist language teachers in times of a crisis.

Waseem Abbas, Dr. Aziz Ibn ul Hassan

Shaukat Siddiqui is well known progressive short story writer and novelist in Urdu Literature. His novel "Jangloos" completely portrays the Pakistani society. The following research is an attempt to analyze novel "Jangloos" through a feminist lens, but this critical approach has been localized at length. Therefore, the analysis of "Jangloos" will be carried out by using local feminist approaches. The research will be focusing on the issues like exploitation, marginalization, and oppression that women face in "Jangloos". The research therefore is not only a textual analysis of but also a contextual and cultural study of the novel. In the context of this novel, an attempt has been made to explore the role of women in agricultural production and the venerability of women according to rural customs.

Priyanshkumar I. Patel, Johir Suresh, Waseem Abbas

This paper studies the problem of designing networks that are strong structurally controllable, and robust simultaneously. For given network specifications, including the number of nodes $N$, the number of leaders $N_L$, and diameter $D$, where $2 \le D \le N/N_L$, we propose graph constructions generating strong structurally controllable networks. We also compute the number of edges in graphs, which are maximal for improved robustness measured by the algebraic connectivity and Kirchhoff index. For the controllability analysis, we utilize the notion of zero forcing sets in graphs. Additionally, we present graph grammars, which are sets of rules that agents apply in a distributed manner to construct the graphs mentioned above. We also numerically evaluate our methods. This work exploits the trade-off between network controllability and robustness and generates networks satisfying multiple design criteria.

Nayla Escribano, German Rigau, Rodrigo Agerri

Detecting and normalizing temporal expressions is an essential step for many NLP tasks. While a variety of methods have been proposed for detection, best normalization approaches rely on hand-crafted rules. Furthermore, most of them have been designed only for English. In this paper we present a modular multilingual temporal processing system combining a fine-tuned Masked Language Model for detection, and a grammar-based normalizer. We experiment in Spanish and English and compare with HeidelTime, the state-of-the-art in multilingual temporal processing. We obtain best results in gold timex normalization, timex detection and type recognition, and competitive performance in the combined TempEval-3 relaxed value metric. A detailed error analysis shows that detecting only those timexes for which it is feasible to provide a normalization is highly beneficial in this last metric. This raises the question of which is the best strategy for timex processing, namely, leaving undetected those timexes for which is not easy to provide normalization rules or aiming for high coverage.

Alfred Galichon, Larry Samuelson, Lucas Vernet

We introduce a notion of substitutability for correspondences and establish a monotone comparative static result, unifying results such as the inverse isotonicity of M-matrices, Berry, Gandhi and Haile's identification of demand systems, monotone comparative statics, and results on the structure of the core of matching games without transfers (Gale and Shapley) and with transfers (Demange and Gale). More specifically, we introduce the notions of 'unified gross substitutes' and 'nonreversingness' and show that if Q is a supply correspondence defined on a set of prices P which is a sublattice of R^N, and Q satisfies these two properties, then the set of prices yielding supply vector q is increasing (in the strong set order) in q; and it is a sublattice of P.

Mebarka khamgani, Noureddine Menaa , Hafsa khamgani

In this research paper entitled "Linguistic Atlases and their role in building a database for Arabic terminology banks" we firstly talk about geographical linguistics, then the concept of Linguistic Atlases, mentioning the German experience, the French experience, and the experience of the German Orientalist Bragstrazer in the Arab countries. Secondly, we talk about Arabic terminology banks represented in the lexical database(Meaarby), the Saudi automatic bank for terms ( Bassem), the terminology database (Qimam) in Tunisia, and the Jordan Academy for Arabic language bank of terms. Finally we mention to the extent by which the Arabic terminology banks benefit from the linguistic Atlases.

Daniel M. Yellin, Gail Weiss

We present an algorithm for extracting a subclass of the context free grammars (CFGs) from a trained recurrent neural network (RNN). We develop a new framework, pattern rule sets (PRSs), which describe sequences of deterministic finite automata (DFAs) that approximate a non-regular language. We present an algorithm for recovering the PRS behind a sequence of such automata, and apply it to the sequences of automata extracted from trained RNNs using the L* algorithm. We then show how the PRS may converted into a CFG, enabling a familiar and useful presentation of the learned language. Extracting the learned language of an RNN is important to facilitate understanding of the RNN and to verify its correctness. Furthermore, the extracted CFG can augment the RNN in classifying correct sentences, as the RNN's predictive accuracy decreases when the recursion depth and distance between matching delimiters of its input sequences increases.

Gianina Iordachioaia

This paper is concerned with the morphosyntax of deverbal zero-derived nominals (e.g., to climb > a climb), which have received much less attention in the literature than suffix-based nominals (cf. the climb-ing, the examin-ation, the assign-ment). In the generative literature, in particular, after Grimshaw’s (1990) seminal work on suffix-based nominals and their possibility to inherit verbal event and argument structure, zero-derived nouns have been claimed to lack such properties: e.g., in syntax-based models of word formation, which take argument realization in deverbal nouns to indicate the inheritance of functional structure from the base verb, they have been analyzed as derived not from a verb but from an uncategorized root, as implemented in Borer (2013). Following Rappaport-Hovav and Levin’s (1998) theory of event structure and argument realization, I investigate zero-derived nouns built from verbs with preposed and postposed particles and show that they may realize argument structure on their event readings, which can only come about from the event structure of their base verbs.

Veli Safak

McCall (1970) examines the search behaviour of an infinitely-lived and risk-neutral job seeker maximizing her lifetime earnings by accepting or rejecting real-valued scalar wage offers. In practice, job offers have multiple attributes, and job seekers solve a multicriteria search problem. This paper presents a multicriteria search model and new comparative statics results.