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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 64 1 Utilising knowledge graph embeddings for data-to-text generation Arcan, Mihael; Pasricha, Nivranshu; Buitelaar, Paul. - : Association for Computational Linguistics, 2021 BASE Show details 2 NUIG-DSI’s submission to the GEM Benchmark 2021 Buitelaar, Paul; Arcan, Mihael; Pasricha, Nivranshu. - : Association for Computational Linguistics, 2021 BASE Show details 3 Enhancing multiple-choice question answering with causal knowledge Buitelaar, Paul; Dalal, Dhairya; Arcan, Mihael. - : Association for Computational Linguistics, 2021 BASE Show details 4 NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation Pasricha, Nivranshu; Arcan, Mihael; Buitelaar, Paul. - : Association for Computational Linguistics, 2021 BASE Show details 5 Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages Chakravarthi, Bharathi Raja; Rajasekaran, Navaneethan; Arcan, Mihael... In: Chakravarthi, Bharathi Raja orcid:0000-0002-4575-7934 , Rajasekaran, Navaneethan, Arcan, Mihael orcid:0000-0002-3116-621X , McGuinness, Kevin orcid:0000-0003-1336-6477 , O'Connor, Noel E. orcid:0000-0002-4033-9135 and McCrae, John P. orcid:0000-0002-7227-1331 (2020) Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages. In: 7th Workshop on NLP for Similar Languages, Varieties and Dialects, 13 Dec 2020, Barcelona, Spain (Online). (2020) BASE Show details 6 Leveraging orthographic information to improve machine translation of under-resourced languages Asoka Chakravarthi, Bharathi Raja. - : NUI Galway, 2020 Abstract: This thesis describes our improvement of word sense translation for under-resourced languages utilizing orthographic information with a particular focus on creating resources using machine translation. The first target of this thesis is cleaning the noisy corpus in the form of code-mixed content at word-level based on orthographic information to improve machine translation quality. Our results indicate that the proposed removing of code-mixed text based on orthography results in improvement for Dravidian languages. We then turn our interest to the usage of training data from closely-related languages. While languages within the same language family share many properties, many under-resourced languages are written in their own native script, which makes taking advantage of these language similarities difficult. We propose to alleviate the problem of different scripts by transcribing the native script into a common representation such as the Latin script or the International Phonetic Alphabet (IPA). We also show that our method could aid the creation or improvement of wordnets for under-resourced languages using machine translation. Further, we investigate bilingual lexicon induction using pre-trained monolingual word embeddings and orthographic information. We use existing resources such as IndoWordNet entries as a seed dictionary and test set for the under-resourced Dravidian languages. To take advantage of orthographic information, we propose to bring the related languages into a single script before creating word embeddings, and use the longest common subsequence to take advantage of cognate information. Our methods for under-resourced word sense translation of Dravidian languages outperformed state-of-the art systems in terms of both automatic and manual evaluation. Keyword: Data science; Dravidian Languages; Engineering and Informatics; Machine Translation; Orthography; Tamil; Under-resourced Languages URL: http://hdl.handle.net/10379/16100 BASE Hide details 7 NUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inference Arcan, Mihael; McCrae, John P.. - : European Language Resources Association (ELRA), 2020 BASE Show details 8 Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios ... Torregrosa, Daniel; Pasricha, Nivranshu; Masoud, Maraim. - : arXiv, 2020 BASE Show details 9 Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages ... Bharathi Raja Chakravarthi; Navaneethan Rajasekaran; Arcan, Mihael. - : Zenodo, 2020 BASE Show details 10 Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages ... Bharathi Raja Chakravarthi; Navaneethan Rajasekaran; Arcan, Mihael. - : Zenodo, 2020 BASE Show details 11 Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages Chakravarthi, Bharathi Raja; Arcan, Mihael; McCrae, John P.. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 BASE Show details 12 TIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation McCrae, John P.; Ahmadi, Sina; Torregrosa, Daniel. - : National University of Ireland, Galway, 2019 BASE Show details 13 The ESSOT system goes wild: an easy way for translating ontologies Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul. - : CEUR-WS.org, 2019 BASE Show details 14 OTTO - ontology translation system Arcan, Mihael; Asooja, Kartik; Ziad, Housam. - : CEUR-WS.org, 2019 BASE Show details 15 Experiments with term translation Arcan, Mihael; Buitelaar, Paul; Federmann, Christian. - : Association for Computational Linguistics, 2019 BASE Show details 16 Ontology label translation Buitelaar, Paul; Arcan, Mihael. - : Association for Computational Linguistics, 2019 BASE Show details 17 Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources Vulcu, Gabriela; Buitelaar, Paul; Pereira, Bianca. - : European Language Resources Association, 2019 BASE Show details 18 Automatic enrichment of terminological resources: the IATE RDF example McCrae, John P.; Montiel-Ponsoda, Elena; Buitelaar, Paul. - : European Language Resources Association, 2019 BASE Show details 19 Avtomatsko pridobivanje besednih zvez iz korpusa z uporabo leksikona SSJ Arcan, Mihael; Arhar Holdt, Špela. - : Centre for Slovene as a Second and Foreign Language, Univerity of Ljubljana, 2019 BASE Show details 20 Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation Arcan, Mihael; McCrae, John P.; Torregrosa, Daniel. - : National University of Ireland, Galway, 2019 BASE Show details Page: 1 2 3 4

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