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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 5...325 Hits 1 – 20 of 6.495 1 Morphology in the Corsican Language Database (BDLC) : assessment and perspectives ; La morphologie dans la Banque de Données Langue Corse : bilan et perspectives Retali Medori, Stella; Kevers, Laurent In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-03591866 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2022, Corpus et données en morpholgie, ⟨10.4000/corpus.7115⟩ ; https://journals.openedition.org/corpus/7115 (2022) BASE Show details 2 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 3 Morphological lexicon Franček Amebis, d.o.o., Kamnik; Fran Ramovš Institute of the Slovenian Language ZRC SAZU; Jakopin, Primož. - : ZRC SAZU, 2022 BASE Show details 4 The Person-Case Constraint in Two Dialects of Odia 山部 順治. - : 熊本大学大学院人文社会科学研究部(文学系), 2022 BASE Show details 5 Analisis Pemerolehan Bahasa Pada Anak Usia 2 Tahun 11 Bulan Dengan Menggunakan Teori Brown ... Jayanti Utami, Wienike Dinar Pratiwi. - : Zenodo, 2022 BASE Show details 6 Analisis Pemerolehan Bahasa Pada Anak Usia 2 Tahun 11 Bulan Dengan Menggunakan Teori Brown ... Jayanti Utami, Wienike Dinar Pratiwi. - : Zenodo, 2022 BASE Show details 7 Agreement ... Tal, Shira. - : Open Science Framework, 2022 BASE Show details 8 Agreement ... Tal, Shira. - : Open Science Framework, 2022 BASE Show details 9 Agreement - unpacking the benefit of a redundant morpheme ... Tal, Shira. - : Open Science Framework, 2022 BASE Show details 10 ProQuest Historical Newspapers Collections: The New York Times (1851-1936) and The Washington Post (1877-1934) ... University Of Arizona Libraries. - : University of Arizona Research Data Repository, 2022 BASE Show details 11 ProQuest Historical Newspapers Collections: The New York Times (1851-1936) and The Washington Post (1877-1934) ... University Of Arizona Libraries. - : University of Arizona Research Data Repository, 2022 BASE Show details 12 Tripartitions of the first person space (English speakers, Condition 1) ... Maldonado, Mora. - : Open Science Framework, 2022 BASE Show details 13 Tagalog Behavioural Experiment ... Stockall, Linnaea. - : Open Science Framework, 2022 BASE Show details 14 Morphological Difficulties in People with Developmental Language Disorder Esther Moraleda-Sepúlveda; Patricia López-Resa In: Children; Volume 9; Issue 2; Pages: 125 (2022) BASE Show details 15 Interactions of Nasal Harmony and Word-Internal Language Mixing in Paraguayan Guaraní Katherine Ruth Russell In: Languages; Volume 7; Issue 1; Pages: 67 (2022) BASE Show details 16 Learning the Morphological and Syntactic Grammars for Named Entity Recognition Mengtao Sun; Qiang Yang; Hao Wang; Mark Pasquine; Ibrahim A. Hameed In: Information; Volume 13; Issue 2; Pages: 49 (2022) Abstract: In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning. This work tries to alleviate these problems by introducing a novel neural network based on morphological and syntactic grammars. The experiments were performed in four Nordic languages, which have many grammar rules. The model was named the NorG network (Nor: Nordic Languages, G: Grammar). In addition to learning from the text content, the NorG network also learns from the word writing form, the POS tag, and dependency. The proposed neural network consists of a bidirectional Long Short-Term Memory (Bi-LSTM) layer to capture word-level grammars, while a bidirectional Graph Attention (Bi-GAT) layer is used to capture sentence-level grammars. Experimental results from four languages show that the grammar-assisted network significantly improves the results against baselines. We also investigate how the NorG network works on each grammar component by some exploratory experiments. Keyword: deep learning; language processing; morphology; named entity recognition; syntax URL: https://doi.org/10.3390/info13020049 BASE Hide details 17 Armenian morphology ... Dolatian, Hossep. - : Zenodo, 2022 BASE Show details 18 Armenian morphology ... Dolatian, Hossep. - : Zenodo, 2022 BASE Show details 19 La enseñanza basada en la reflexión: la prefijación en Educación Secundaria ; Teaching based on reflexion: prefixation in Secondary Education Rey Carchenilla, Irene del. - : Universidad de Extremadura, 2022 BASE Show details 20 Portuguese infinitives: their pieces and their meaning Maurício Sartori Resende; Roberta Pires de Oliveira In: Journal of Portuguese Linguistics, Vol 21, Iss 1 (2022) (2022) BASE Show details Page: 1 2 3 4 5...325

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