Results 51 to 60 of about 43,026 (265)

Extracting paraphrases from a parallel corpus [PDF]

Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01, 2001
While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text.
Regina Barzilay, Kathleen R. McKeown
openaire   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

THE ROLE OF CORPUS LINGUISTICS IN CONTEMPORARY LINGUISTICS RESEARCH AND TRANSLATION STUDIES

Вестник Волгоградского государственного университета: Серия 2. Языкознание
The article presents a systematic review of research papers on corpus linguistics as an innovative direction in empirical linguistics. It reveals the theoretical and methodological foundations of the field, defines the specifics of corpus linguistics in
Pei Haitong
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Contrastive linguistics in a new key 1

NJES: Nordic Journal of English studies, 2016
In 1994 a group of researchers from the Nordic countries met in Lund, Sweden, for a symposium titled Languages in Contrast: A Symposium on Text-based Cross-linguistic Studies.2 The purpose of the symposium was to gather researchers “active in the field ...
Jarle Ebeling
doaj   +1 more source

An Unsupervised System for Parallel Corpus Filtering [PDF]

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018
In this paper we describe LMU Munich’s submission for the WMT 2018 Parallel Corpus Filtering shared task which addresses the problem of cleaning noisy parallel corpora. The task of mining and cleaning parallel sentences is important for improving the quality of machine translation systems, especially for low-resource languages.
Viktor Hangya, Alexander M. Fraser
openaire   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Commentary on four studies for JALT vocabulary SIG

Vocabulary Learning and Instruction, 2018
The four papers in this volume focused on mainly three areas: readability (Pinchbeck), wordlist evaluation (Ishikawa, Culligan), and data-driven learning (McGuire). The author would argue that whilst applied corpus linguistics and L2 vocabulary research
Yukio Tono
doaj   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Does corpus size matter? Revisiting ENPC case studies with an extended version of the corpus

NJES: Nordic Journal of English studies, 2016
The validity of contrastive findings that base themselves on material from small parallel corpora may be questioned, and ever since the compilation of the English-Norwegian Parallel Corpus (ENPC) and English-Swedish Parallel Corpus (ESPC) some 20 years ...
Signe Oksefjell Ebeling
doaj   +1 more source