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Статті в журналах з теми "Corpus-Based Syntax"
Mikulová, Marie, Eduard Bejček, Veronika Kolářová, and Jarmila Panevová. "Subcategorization of Adverbial Meanings Based on Corpus Data." Journal of Linguistics/Jazykovedný casopis 68, no. 2 (December 1, 2017): 268–77. http://dx.doi.org/10.1515/jazcas-2017-0036.
Повний текст джерелаKong, Leilei, Zhongyuan Han, Yong Han, and Haoliang Qi. "A Deep Paraphrase Identification Model Interacting Semantics with Syntax." Complexity 2020 (October 30, 2020): 1–14. http://dx.doi.org/10.1155/2020/9757032.
Повний текст джерелаTetreault, Joel R. "A Corpus-Based Evaluation of Centering and Pronoun Resolution." Computational Linguistics 27, no. 4 (December 2001): 507–20. http://dx.doi.org/10.1162/089120101753342644.
Повний текст джерелаDuo, Jiecairang, Quecairang Hua, Keyou Huan, and Rangdangzhi Cai. "Transition based neural network dependency parsing of Tibetan." MATEC Web of Conferences 336 (2021): 06018. http://dx.doi.org/10.1051/matecconf/202133606018.
Повний текст джерелаTENUTA, Adriana Maria, Ana Larissa A. M. OLIVEIRA, and Bárbara Malveira ORFANÓ. "How Brazilian learners express modality through verbs and adverbs in their writing: a corpus-based study on n-grams." DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada 31, no. 2 (December 2015): 333–57. http://dx.doi.org/10.1590/0102-445071548936077492.
Повний текст джерелаMastromattei, Michele, Leonardo Ranaldi, Francesca Fallucchi, and Fabio Massimo Zanzotto. "Syntax and prejudice: ethically-charged biases of a syntax-based hate speech recognizer unveiled." PeerJ Computer Science 8 (February 3, 2022): e859. http://dx.doi.org/10.7717/peerj-cs.859.
Повний текст джерелаAndrushenko, Olena. "Corpus-based studies of Middle English adverb largely: syntax and information-structure." XLinguae 14, no. 2 (April 2021): 60–75. http://dx.doi.org/10.18355/xl.2021.14.02.05.
Повний текст джерелаSchneider, Ulrike. "The syntax of metaphor." Yearbook of the German Cognitive Linguistics Association 9, no. 1 (November 1, 2021): 47–70. http://dx.doi.org/10.1515/gcla-2021-0003.
Повний текст джерелаHermawan, Nuri. "Representasi Anies dan Ganjar pada Bursa Calon Presiden Indonesia 2024 dalam Berita Online Okezone.com." Syntax Literate ; Jurnal Ilmiah Indonesia 6, no. 1 (November 18, 2021): 24. http://dx.doi.org/10.36418/syntax-literate.v6i1.4613.
Повний текст джерелаTaylor, Ann. "Treebanks in Historical Syntax." Annual Review of Linguistics 6, no. 1 (January 14, 2020): 195–212. http://dx.doi.org/10.1146/annurev-linguistics-011619-030515.
Повний текст джерелаДисертації з теми "Corpus-Based Syntax"
Blöhdorn, Lars M. "Postmodifying attributive adjectives in English an integrated corpus-based approach." Frankfurt, M. Berlin Bern Bruxelles New York, NY Oxford Wien Lang, 2008. http://d-nb.info/99131008X/04.
Повний текст джерелаGyawali, Bikash. "Surface Realisation from Knowledge Bases." Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0004/document.
Повний текст джерелаNatural Language Generation is the task of automatically producing natural language text to describe information present in non-linguistic data. It involves three main subtasks: (i) selecting the relevant portion of input data; (ii) determining the words that will be used to verbalise the selected data; and (iii) mapping these words into natural language text. The latter task is known as Surface Realisation (SR). In my thesis, I study the SR task in the context of input data coming from Knowledge Bases (KB). I present two novel approaches to surface realisation from knowledge bases: a supervised approach and a weakly supervised approach. In the first, supervised, approach, I present a corpus-based method for inducing a Feature Based Lexicalized Tree Adjoining Grammar from a parallel corpus of text and data. I show that the induced grammar is compact and generalises well over the test data yielding results that are close to those produced by a handcrafted symbolic approach and which outperform an alternative statistical approach. In the weakly supervised approach, I explore a method for surface realisation from KB data which does not require a parallel corpus. Instead, I build a corpus from heterogeneous sources of domain-related text and use it to identify possible lexicalisations of KB symbols and their verbalisation patterns. I evaluate the output sentences and analyse the issues relevant to learning from non-parallel corpora. In both these approaches, the proposed methods are generic and can be easily adapted for input from other ontologies for which a parallel/non-parallel corpora exists
Faghiri, Pegah. "La variation de l'ordre des constituants dans le domaine préverbal en persan : approche empirique." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCA161.
Повний текст джерелаThis thesis proposes a quantitative study of word order variations in Persian, focusing on the relative order between the direct object (DO) and the indirect object (IO). The latter plays a crucial role in the theoretical analyses of the VP, which in the absence of quantitative studies lack solid empirical underpinning. My first goal is to contribute to the study of Persian syntax by providing reliable data in order to evaluate the prevailing hypothesis according to which there exists a dual canonical relative order between the two objects triggered by the Differential Object marking (DOM). My second goal is to contribute to the ongoing debates on word order preferences in general linguistics and typology by bringing in data on an SOV language with mixed head-direction. To this end, I study the effect of factors such as grammatical weight (or relative length), which are claimed to influence the linear order across languages. First, the results of our corpus and experimental studies show that the DOM account of the relative order between the DO and the IO is flawed. Based on this conclusion, I also reject the two object positions hypothesis and plead for a flat structure view of the VP. Second, our data reveal a “long-before-short” preference, which is shown to depend on the effect of salience-enhancing factors such as definiteness, animacy and the grammatical role. I argue that while this preference is, either totally or partially, incompatible with the predictions of processing-oriented dependency-based models, it can be accounted for by production models assuming that the greater conceptual accessibility of longer constituents favors their early position in SOV languages
Книги з теми "Corpus-Based Syntax"
1949-, Takagaki Toshihiro, ed. Corpus-based approaches to sentence structures. Amsterdam :aPhiladelphia: J. Benjamins Pub., 2005.
Знайти повний текст джерелаExploring newspaper language: Corpus compilation and research based on the Norwegian newspaper corpus. Amsterdam: John Benjamins Pub. Co., 2012.
Знайти повний текст джерелаCorpus-based studies of lesser-described languages: The CorpAfroAs corpus of spoken AfroAsiatic languages. Amsterdam: John Benjamins Publishing Company, 2015.
Знайти повний текст джерелаNoun complementation in English: A corpus-based study of structural types and patterns. Göteborg, Sweden: Göteborg University, Dept. of English, 2005.
Знайти повний текст джерелаPérez-Guerra, Javier. Historical English syntax: A statistical corpus based study on the organisation of early modern English sentences. München: LINCOM EUROPA, 1999.
Знайти повний текст джерелаBasciano, Bianca, Franco Gatti, and Anna Morbiato. Corpus-Based Research on Chinese Language and Linguistics. Venice: Fondazione Università Ca’ Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-406-6.
Повний текст джерелаSzmrecsanyi, Benedikt. Grammatical variation in British English dialects: A study in corpus-based dialectometry. Cambridge, [England]: Cambridge University Press, 2012.
Знайти повний текст джерелаKnut, Hofland, ed. Frequency analysis of English vocabulary and grammar: Based on the LOB corpus. Oxford [England]: Clarendon Press, 1989.
Знайти повний текст джерелаCalabrese, Rita. Insights into the lexicon-syntax interface in Italian learners' English: A generative framework for a corpus-based analysis. Roma: Aracne, 2008.
Знайти повний текст джерелаComplementation in British and Americal English: Corpus-based studies on prepositions and complement clauses in British and American English. Lanham, MD: University press of America, 2005.
Знайти повний текст джерелаЧастини книг з теми "Corpus-Based Syntax"
Bemposta-Rivas, Sofia. "A corpus-based study on the development of dare in Middle English and Early Modern English." In Developments in English Historical Morpho-Syntax, 129–48. Amsterdam: John Benjamins Publishing Company, 2019. http://dx.doi.org/10.1075/cilt.346.07riv.
Повний текст джерелаÖzsoy, A. Sumru. "Argument structure, animacy, syntax and semantics of passivization in Turkish: A corpus-based approach." In Corpus Analysis and Variation in Linguistics, 259–79. Amsterdam: John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/tufs.1.16ozs.
Повний текст джерелаHorton, Julian. "First-Theme Syntax in Brahms’s Sonata Forms." In Rethinking Brahms, 195—C10.T7. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197541739.003.0011.
Повний текст джерела"5 Experiential Constructions in Late Latin and Old Italian: A Corpus-based Investigation into Diachronic Syntax." In Experiential Constructions in Latin, 190–250. BRILL, 2014. http://dx.doi.org/10.1163/9789004257832_006.
Повний текст джерелаWolfe, Sam. "Rethinking Medieval Romance Verb Second." In Rethinking Verb Second, 348–67. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844303.003.0015.
Повний текст джерелаSweany, Erin E. "Dangerous Voices, Erased Bodies." In Feminist Approaches to Early Medieval English Studies. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463721462_ch09.
Повний текст джерела"Towards a Comprehensive Survey of Register-based Variation in Spanish Syntax." In Corpus Linguistics Beyond the Word, 73–85. Brill | Rodopi, 2007. http://dx.doi.org/10.1163/9789401203845_006.
Повний текст джерелаAuziņa, Ilze, Kristīne Levāne-Petrova, Roberts Darģis, Kristīne Pokratniece, and Inga Kaija. "Latviešu valodas apguvēju korpusa (LaVA) izmantošana pētniecībā un mācību uzdevumu izstrādē." In Latviešu valodas apguve. XIII Starptautiskais baltistu kongress : rakstu krājums, 142–61. Liepājas Universitāte, 2021. http://dx.doi.org/10.37384/lva.2021.142.
Повний текст джерелаТези доповідей конференцій з теми "Corpus-Based Syntax"
Gibbon, Dafydd. "Corpus-based syntax-prosody tree matching." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-61.
Повний текст джерелаQingzhi, Sun, Du Qingfeng, Zhang Chenxi, and Li Jun. "Chinese News Event Corpus Construction Method Based on Syntax Tree." In ICBDT 2020: 2020 3rd International Conference on Big Data Technologies. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3422713.3422741.
Повний текст джерелаPiperski, A. Ch. "RUSSIAN LANGUAGE AND CORPUS DIVERSITY." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-615-627.
Повний текст джерелаZimmerling, Anton. "Historical Text Corpora and the Conclusiveness of Linguistic Analysis." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-586-593.
Повний текст джерелаKuvshinova, T. "SENTENCE COMPRESSION FOR RUSSIAN: DATASET AND BASELINES." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-517-528.
Повний текст джерелаLiu, Cao, Shizhu He, Kang Liu, and Jun Zhao. "Curriculum Learning for Natural Answer Generation." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/587.
Повний текст джерела