Results 1 to 10 of about 116,931 (290)
Cross-linguistic similarity and task demands in Japanese-English bilingual processing. [PDF]
PLoS ONE, 2013 Even in languages that do not share script, bilinguals process cognates faster than matched noncognates in a range of tasks. The current research more fully explores what underpins the cognate 'advantage' in different script bilinguals (Japanese-English).
David B Allen, Kathy Conklin
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Operationalizing language-based population stratification for widening access to precision genomics in Africa [PDF]
Frontiers in Public HealthBackgroundDespite remarkable advancements in genomic technologies, individuals of predominant African-related genetic similarity remain significantly under-represented, accounting for only 2.4% of published genome-wide association studies. This disparity
Benard W. Kulohoma +1 more
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Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity [PDF]
Computational Linguistics, 2021 Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem can be alleviated by estimating the probabilities of unseen co-occurrences of events from the probabilities of seen co-occurrences of similar events. In
Julie Weeds, David Weir
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Discovering Lexical Similarity Using Articulatory Feature-Based Phonetic Edit Distance
IEEE Access, 2022 Lexical Similarity (LS) between two languages uncovers many interesting linguistic insights such as phylogenetic relationship, mutual intelligibility, common etymology, and loan words. There are various methods through which LS is evaluated.
Tafseer Ahmed +3 more
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Lexical Semantic Similarity Algorithm Based on How-net [PDF]
Jisuanji gongcheng, 2018 On the study of lexical similarity,sememe similarity and concept similarity,this paper propose a sememe similarity computation algorithm based on the How-net semantic tree.This algorithm considers the node distance,the node depth and the number of ...
MA Yongqi,HAN Depei,MENG Lirong,YU Jie,CHENG Zheng
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Semantic Data Set Construction from Human Clustering and Spatial Arrangement
Computational Linguistics, 2021 Research into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments.
Olga Majewska +5 more
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Characterising measures of lexical distributional similarity [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 This work investigates the variation in a word's distributionally nearest neighbours with respect to the similarity measure used. We identify one type of variation as being the relative frequency of the neighbour words with respect to the frequency of the target word.
Julie Weeds, David Weir, Diana McCarthy
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Lexical Similarity Between Argument and Parameter Names: An Empirical Study
IEEE Access, 2018 Identifiers chosen by programmers convey rich semantic information that could be exploited to enhance program analysis for various software engineering tasks, e.g., anomaly detection, argument recommendation, and code completion.
Guangjie Li +3 more
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Directional distributional similarity for lexical expansion [PDF]
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers on - ACL-IJCNLP '09, 2009 Distributional word similarity is most commonly perceived as a symmetric relation. Yet, one of its major applications is lexical expansion, which is generally asymmetric. This paper investigates the nature of directional (asymmetric) similarity measures, which aim to quantify distributional feature inclusion.
Lili Kotlerman +3 more
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Recognition of Chinese Lexical Entailment Relation Based on Word Vector [PDF]
Jisuanji gongcheng, 2016 Automatic recognition of English lexical entailment relation has many researches,and many recognition models are presented.But study on Chines lexical entailment is not sufficient while there have many studies on English lexical entailment from different
ZHANG Zhichang,ZHOU Huixia,YAO Dongren,LU Xiaoyong
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