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Relevant bibliographies by topics / Lexical matching

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Academic literature on the topic 'Lexical matching'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "Lexical matching"

1

Sanker, Chelsea. "Lexical ambiguity and acoustic distance in discrimination." Proceedings of the Linguistic Society of America 5, no. 1 (2020): 431. http://dx.doi.org/10.3765/plsa.v5i1.4719.

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This work presents a perceptual study on how acoustic details and knowledge of the lexicon influence discrimination decisions. English-speaking listeners were less likely to identify phonologically matching items as the same when they differed in vowel duration, but differences in mean F0 did not have an effect. Although both are components of English contrasts, the results only provide evidence for attention to vowel duration as a potentially contrastive cue. Lexical ambiguity was a predictor of response time. Pairs with matching duration were identified more quickly than pairs with distinct

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Nogier, J. F., and M. Zock. "Lexical choice as pattern matching." Knowledge-Based Systems 5, no. 3 (1992): 200–212. http://dx.doi.org/10.1016/0950-7051(92)90032-b.

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Duggins, Andrew, Anthony I. Jack, and Christopher Frith. "Delayed matching to subliminal lexical sample." NeuroImage 13, no. 6 (2001): 661. http://dx.doi.org/10.1016/s1053-8119(01)92004-x.

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Schneider, Sara, Adolfo G. Ramirez-Aristizabal, Carol Gavilan, and Christopher T. Kello. "Complexity matching and lexical matching in monolingual and bilingual conversations." Bilingualism: Language and Cognition 23, no. 4 (2019): 845–57. http://dx.doi.org/10.1017/s1366728919000774.

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AbstractWhen people interact, aspects of their speech and language patterns often converge in interactions involving one or more languages. Most studies of speech convergence in conversations have examined monolingual interactions, whereas most studies of bilingual speech convergence have examined spoken responses to prompts. However, it is not uncommon in multilingual communities to converse in two languages, where each speaker primarily produces only one of the two languages. The present study examined complexity matching and lexical matching as two measures of speech convergence in conversa

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CHIEN, BEEN-CHIAN, and SHIANG-YI HE. "A LEXICAL DECISION TREE SCHEME FOR SUPPORTING SCHEMA MATCHING." International Journal of Information Technology & Decision Making 10, no. 03 (2011): 519–37. http://dx.doi.org/10.1142/s0219622011004439.

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To manipulate semantic web and integrate different data sources efficiently, automatic schema matching plays a key role. A generic schema matching method generally includes two phases: the linguistic similarity matching phase and the structural similarity matching phase. Since linguistic matching is an essential step for effective schema matching, developing a high accurate linguistic similarity matching scheme is required. In this paper, a schema matching approach called Similarity Yield Matcher (SYM) is proposed. In SYM, a lexical decision tree is presented to determine the linguistic simila

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Pellet Cheneval, Pauline, and Marina Laganaro. "Phonological and grammatical class cohorts in word production." Mental Lexicon 14, no. 1 (2019): 68–97. http://dx.doi.org/10.1075/ml.18008.pel.

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Abstract The lexical or sub-lexical loci of facilitation of word production by phonological cueing/priming are debated. We investigate whether phonological cues facilitate word production at the level of lexical selection by manipulating the size of the cohort of word onsets matching the cue. In the framework of lexical facilitation, a phonological cue corresponding to a small number of words should be more effective than a cue corresponding to a larger cohort. However, a lexical locus can clearly be inferred only if the facilitation effect in picture naming is modulated by a specific grammati

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Abdel Salam El-Dakhs, Dina, Maram Al-Khodair, Rawan Alwazzan, and Jeanette Altarriba. "Does the Morphological Structure of L1 Equivalents Influence the Processing of L2 Words? Evidence from Arabic-English Bilinguals." PSYCHOLINGUISTICS 27, no. 2 (2020): 11–43. http://dx.doi.org/10.31470/2309-1797-2020-27-2-11-43.

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Objective. The current study aims at investigating if the morphological structure of the first language (L1) equivalents affects the processing of second language (L2) words. Materials & Methods. To this end, 400 Arabic-English bilinguals of two levels of language proficiency completed a free recall task and a discrete word association task in their L2. The stimuli represented cases of lexical matches and mismatches. Results. The results of the free recall task showed a facilitation effect for lexical matching in one comparison for the participants with lower proficiency while

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Bangerter, Adrian, Eric Mayor, and Dominique Knutsen. "Lexical entrainment without conceptual pacts? Revisiting the matching task." Journal of Memory and Language 114 (October 2020): 104129. http://dx.doi.org/10.1016/j.jml.2020.104129.

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Narayan, Shweta, Benjamin K. Bergen, and Zachary Weinberg. "Embodied Verbal Semantics: Evidence from a Lexical Matching Task." Annual Meeting of the Berkeley Linguistics Society 30, no. 1 (2004): 493. http://dx.doi.org/10.3765/bls.v30i1.936.

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Peng, Rongqun, Zhengkun Mi, and Lingjiao Wang. "An improved hybrid semantic matching algorithm with lexical similarity." Journal of Electronics (China) 27, no. 6 (2010): 838–47. http://dx.doi.org/10.1007/s11767-011-0571-3.

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Dissertations / Theses on the topic "Lexical matching"

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Gabbay, Igal. "Retrieving Definitions from Scientific Text in the Salmon Fish Domain by Lexical Pattern Matching." Thesis, University of Limerick, 2004. http://hdl.handle.net/10919/71562.

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While an information retrieval system takes as input a user query and returns a list of relevant documents chosen from a large collection, a question answering system attempts to produce an exact answer. Recent research, motivated by the question answering track of the Text REtrieval Conference (TREC) has focused mainly on answering ‘factoid’ questions concerned with names, places, dates etc. in the news domain. However, questions seeking definitions of terms are common in the logs of search engines. The objective of this project was therefore to investigate methods of retrieving definitions f

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Eklund, Robert. "A Probabilistic Tagging Module Based on Surface Pattern Matching." Thesis, Stockholm University, Department of Computational Linguistics, Institute of Linguistics, 1993. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135294.

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A problem with automatic tagging and lexical analysis is that it is never 100 % accurate. In order to arrive at better figures, one needs to study the character of what is left untagged by automatic taggers. In this paper untagged residue outputted by the automatic analyser SWETWOL (Karlsson 1992) at Helsinki is studied. SWETWOL assigns tags to words in Swedish texts mainly through dictionary lookup. The contents of the untagged residue files are described and discussed, and possible ways of solving different problems are proposed. One method of tagging residual output is proposed and implemen

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Nguyen, Thi Thuy Anh [Verfasser], Stefan [Akademischer Betreuer] Conrad, and Frank [Akademischer Betreuer] Gurski. "Ontology Matching based on Combination of Lexical and Structural Techniques in Semantic Web / Thi Thuy Anh Nguyen. Betreuer: Stefan Conrad. Gutachter: Frank Gurski." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2016. http://d-nb.info/1084873087/34.

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Mills, Eric M. III. "Application and Evaluation of Unified Medical Language System Resources to Facilitate Patient Information Acquisition through Enhanced Vocabulary Coverage." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30448.

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Two broad themes of this research are, 1) to develop a generalized framework for studying the process of patient information acquisition and 2) to develop and evaluate automated techniques for identifying domain-specific vocabulary terms contained in, or missing from, a standardized controlled medical vocabulary with emphasis on those terms necessary for representing the canine physical examination. A generalized framework for studying the process of patient information acquisition is addressed by the Patient Information Acquisition Model (PIAM). PIAM illustrates the decision-to-perception ch

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Lingemark, Maria. "A Lexicon for Gene Normalization." Thesis, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20250.

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<p>Researchers tend to use their own or favourite gene names in scientific literature, even though there are official names. Some names may even be used for more than one gene. This leads to problems with ambiguity when automatically mining biological literature. To disambiguate the gene names, gene normalization is used. In this thesis, we look into an existing gene normalization system, and develop a new method to find gene candidates for the ambiguous genes. For the new method a lexicon is created, using information about the gene names, symbols and synonyms from three different databases.

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Renner, Lena F. "The magic of matching – speech production and perception in language acquisition." Doctoral thesis, Stockholms universitet, Institutionen för lingvistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-147908.

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This thesis investigates the relationship between speech production and speech perception in the early stages of phonological and lexical acquisition. Previous studies have mainly focused on independent investigations of speech production and perception abilities in language acquisition. This thesis connects the individual speech production capacities to the child's perception and is organized around three major studies: Study I explores methodological alternatives such as the combination of EEG and eye-tracking in different Swedish participant groups: adults, 17-month-olds, and 24-month-olds.

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Bílka, Ondřej. "Pattern matching in compilers." Master's thesis, 2012. http://www.nusl.cz/ntk/nusl-305136.

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Title: Pattern matching in compilers Author: Ondřej Bílka Department: Department of Applied Mathematics Supervisor: Jan Hubička, Department of Applied Mathematics Abstract: In this thesis we develop tools for effective and flexible pattern matching. We introduce a new pattern matching system called amethyst. Amethyst is not only a generator of parsers of programming languages, but can also serve as an alternative to tools for matching regular expressions. Our framework also produces dynamic parsers. Its intended use is in the context of IDE (accurate syntax highlighting and error detection on

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Methqal, Ikram. "Le caractère adaptatif du cerveau âgé sain dans le maintien des habiletés du traitement lexico-sémantique : une approche neurofonctionnelle." Thèse, 2018. http://hdl.handle.net/1866/21844.

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Books on the topic "Lexical matching"

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Miezitis, Mara Anita. Generating lexical options by matching in a knowledge base. Computer Systems Research Institute, University of Toronto, 1988.

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National Institute of Standards and Technology (U.S.), ed. A lexical analogy to feature matching and pose estimation. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2002.

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Miezitis, Mara Anita *. Generating lexical options by matching in a knowledge base. 1988.

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National Institute of Standards and Technology (U.S.), ed. A lexical analogy to feature matching and pose estimation. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2002.

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Pietroski, Paul M. Massively monadic, potentially plural. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198812722.003.0007.

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This chapter offers evidence for the following hypothesis: the concepts fetched via lexical meanings are predicative (monadic) or minimally relational (dyadic), even though we often lexicalize concepts of other types. Denoting concepts are used to introduce predicative analogs, while “supradyadic” concepts are used to introduce predicative and/or dyadic analogs. Given a Fregean language, lexicalization could be a more transparent process in which concepts are simply labeled with words of matching types. In this sense, lexicalization effaces certain conceptual distinctions; and it is argued tha

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Tzoukermann, Evelyne, Judith L. Klavans, and Tomek Strzalkowski. Information Retrieval. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0029.

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Information retrieval (IR) involves retrieving information from stored data, through user queries or pre-formulated user profiles. The information can be in any format. IR typically advances over four broad stages viz., identification of text types, document preprocessing, document indexing, and query processing and matching the same to documents. Although NLP has a role to play in IR, the procedural complexities of the latter impede determination of the stage of incorporation of the former into the latter. Earliest attempts at connecting NLP with IR, were extremely ambitious, proposing concep

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Crespo Miguel, Mario. Automatic corpus-based translation of a spanish framenet medical glossary. 2020th ed. Editorial Universidad de Sevilla, 2020. http://dx.doi.org/10.12795/9788447230051.

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Computational linguistics is the scientific study of language from a computational perspective. It aims is to provide computational models of natural language processing (NLP) and incorporate them into practical applications such as speech synthesis, speech recognition, automatic translation and many others where automatic processing of language is required. The use of good linguistic resources is crucial for the development of computational linguistics systems. Real world applications need resources which systematize the way linguistic information is structured in a certain language. There is

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Baunaz, Lena, and Eric Lander. Nanosyntax. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876746.003.0001.

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This chapter offers a thorough introduction to nanosyntactic theory, a development of the cartographic program in generative grammar. It discusses the foundations on which nanosyntax was conceived, such as the “one feature–one head” maxim and the universal functional sequence (fseq). It also provides a brief comparison of theoretical and terminological issues in nanosyntax vs. the competing framework of Distributed Morphology. It is seen that the syntactic component according to nanosyntax unifies aspects of (what are traditionally called) syntax, morphology, and formal semantics. This is refl

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Book chapters on the topic "Lexical matching"

1

Forstall, Christopher W., and Walter J. Scheirer. "Lexical Matching: Text Reuse as Intertextuality." In Quantitative Intertextuality. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23415-7_3.

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Pham, Xuan Hau, Jason J. Jung, and Ngoc Thanh Nguyen. "Lexical Matching-Based Approach for Multilingual Movie Recommendation Systems." In Recent Developments in Intelligent Information and Database Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31277-4_13.

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Sen, Mehmet Umut, Hakki Yagiz Erdinc, Burak Yavuzalp, and Murat Can Ganiz. "Combining Lexical and Semantic Similarity Methods for News Article Matching." In Data Science – Analytics and Applications. Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-27495-5_3.

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Baeza-Yates, Ricardo, and Guoqiang Wang. "Lexical Matching of Queries and Ads Bid Terms in Sponsored Search." In String Processing and Information Retrieval. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46049-9_22.

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Assi, Ali, Hamid Mcheick, and Wajdi Dhifli. "Context-Aware Instance Matching Through Graph Embedding in Lexical Semantic Space." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22999-3_37.

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Candela, Leonardo, Gianpaolo Coro, and Pasquale Pagano. "Supporting Tabular Data Characterization in a Large Scale Data Infrastructure by Lexical Matching Techniques." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35834-0_5.

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Choi, Maengsik, Junsoo Shin, and Harksoo Kim. "Lexical Feature Extraction Method for Classification of Erroneous Online Customer Reviews Based on Pattern Matching." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_35.

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Nissan, Ephraim, and Ghil‘ad Zuckermann. "One Zoonym, Two Parents: Mendele’s Phono-Semantic Matching of Animal Terms, and Later Developments of Lexical Confluence in Modern Hebrew Zoonymy." In Language, Culture, Computation. Computational Linguistics and Linguistics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45327-4_14.

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Chi, Zewen, Heyan Huang, Shenjian Zhao, Heng-Da Xu, and Xian-Ling Mao. "Fast and Accurate Bilingual Lexicon Induction via Matching Optimization." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32233-5_57.

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Vihman, Marilyn May. "Whole-word phonology." In Phonological Templates in Development. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198793564.003.0002.

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This chapter provides a historical overview of the ideas underlying ‘whole-word phonology’, from the 1970s to the present. The importance of a prosodic (syntagmatic) analysis is grounded in the ideas of Firth, as adapted to early child language (Waterson, 1971). Other studies have proposed ways in which ideas based on analyses of early child data, such as lexical primacy (Ferguson & Farwell, 1975) or Radical Templatic Phonology (Vihman & Croft, 2007), are relevant for adult as well as child language. Key ideas included in the overview are developmental reorganization (Macken, 1979), template matching and the two-stage model (Menn, 1983), and exemplar theory and usage-based models (Menn et al., 2013). The principles of Dynamic Systems Theory (Thelen & Smith, 1994) are related to early phonological and lexical development.

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Conference papers on the topic "Lexical matching"

1

Adams, Rod, Gabriel Nicolae, Cristina Nicolae, and Sanda Harabagiu. "Textual entailment through extended lexical overlap and lexico-semantic matching." In the ACL-PASCAL Workshop. Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1654536.1654560.

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Liu, Wuying, Lin Wang, and Xing Zhang. "Lexical-index-based Japanese syntax matching." In 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2016. http://dx.doi.org/10.1109/fskd.2016.7603281.

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Dagan, Ido, Oren Glickman, Alfio Gliozzo, Efrat Marmorshtein, and Carlo Strapparava. "Direct word sense matching for lexical substitution." In the 21st International Conference. Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1220175.1220232.

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Nakayam, Minoru, and Mountaz Hascoet. "Visual Comparison of Multilingual Documents and Lexical Matching." In 2014 18th International Conference on Information Visualisation (IV). IEEE, 2014. http://dx.doi.org/10.1109/iv.2014.41.

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Choi, Jihun, Taeuk Kim, and Sang-goo Lee. "Element-wise Bilinear Interaction for Sentence Matching." In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/s18-2012.

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Yongping Du, Changqing Yao, and Jiangli Liu. "Recognize Textual Entailment by the lexical and semantic matching." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5620402.

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Smith, Ellery, Nicola Greco, Matko Bosnjak, and Andreas Vlachos. "A Strong Lexical Matching Method for the Machine Comprehension Test." In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/d15-1197.

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Su, Ranxu, and Yan Zheng. "Chinese Textual Entailment recognition model based on lexical and semantic matching." In 2011 7th International Conference on Natural Language Processing and Knowledge Engineering (NLPKE). IEEE, 2011. http://dx.doi.org/10.1109/nlpke.2011.6138175.

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Helou, Mamoun Abu, and Matteo Palmonari. "Cross-lingual lexical matching with word translation and local similarity optimization." In SEMANTiCS '15: 11th International Conference on Semantic Systems. ACM, 2015. http://dx.doi.org/10.1145/2814864.2814888.

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Tran, Vu, Minh Le Nguyen, and Ken Satoh. "Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model." In ICAIL '19: Seventeenth International Conference on Artificial Intelligence and Law. ACM, 2019. http://dx.doi.org/10.1145/3322640.3326740.

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Reports on the topic "Lexical matching"

1

Horst, John. A lexical analogy to feature matching and pose estimation. National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6790.

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