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Journal articles on the topic 'Lexical similarity'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Barbero, Chiara, and Raquel Amaro. "Are We Talking about the Same Thing? Modeling Semantic Similarity between Common and Specialized Lexica in WordNet." Languages 9, no. 3 (2024): 89. http://dx.doi.org/10.3390/languages9030089.

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Specialized languages can activate different sets of semantic features when compared to general language or express concepts through different words according to the domain. The specialized lexicon, i.e., lexical units that denote more specific concepts and knowledge emerging from specific domains, however, co-exists with the common lexicon, i.e., the set of lexical units that denote concepts and knowledge shared by the average speakers, regardless of their specific training or expertise. Communication between specialists and non-specialists can show a big gap between language(s), and therefor

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2

Dam, Helle V. "Lexical Similarity vs Lexical Dissimilarity in Consecutive Interpreting." Translator 4, no. 1 (1998): 49–68. http://dx.doi.org/10.1080/13556509.1998.10799006.

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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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KOTLERMAN, LILI, IDO DAGAN, IDAN SZPEKTOR, and MAAYAN ZHITOMIRSKY-GEFFET. "Directional distributional similarity for lexical inference." Natural Language Engineering 16, no. 4 (2010): 359–89. http://dx.doi.org/10.1017/s1351324910000124.

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AbstractDistributional word similarity is most commonly perceived as a symmetric relation. Yet, directional relations are abundant in lexical semantics and in many Natural Language Processing (NLP) settings that require lexical inference, making symmetric similarity measures less suitable for their identification. This paper investigates the nature of directional (asymmetric) similarity measures that aim to quantify distributional feature inclusion. We identify desired properties of such measures for lexical inference, specify a particular measure based on Average Precision that addresses thes

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Johns, Brendan T., and Michael N. Jones. "Perceptual Inference Through Global Lexical Similarity." Topics in Cognitive Science 4, no. 1 (2012): 103–20. http://dx.doi.org/10.1111/j.1756-8765.2011.01176.x.

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Shatz, Itamar, Theodora Alexopoulou, and Akira Murakami. "The potential influence of cross-linguistic lexical similarity on lexical diversity in L2 English writing." Corpora 19, no. 2 (2024): 131–56. http://dx.doi.org/10.3366/cor.2024.0305.

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We examined the potential influence of L1–L2 lexical similarity on L2 lexical diversity, to determine whether the robust facilitative effect of lexical similarity that is found in processing and broad learning outcomes extends to this measure of L2 production. Our sample included two matching learner sub-corpora, containing 8,500 and 6,390 English texts, written in response to ninety-five and seventy-one writing tasks, by speakers of nine typologically diverse L1s, in the A1–B2 cefr range of L2 English proficiency. We found that lexical similarity did not influence L2 lexical diversity at any

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Rai, Tara Mani. "Unraveling the Relationship among the Kirati Languages." Nepalese Linguistics 38, no. 1 (2024): 91–98. http://dx.doi.org/10.3126/nl.v38i1.71561.

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This paper explores the relationships among the Kirati languages through lexical comparisons. The analysis, employing the Swadesh 100-word list, shows that Bantawa and Puma as well as Mugali and Phangduwali exhibit the highest lexical similarity, at 52%, while Yakkha and Koits-Sunuwar have the lowest similarity, at just 1%. In terms of phonetic similarity, Bantawa and Puma also show the greatest resemblance, with a similarity rate of up to 68%, whereas Mugali and Wambule show the least similarity, at 34%. These findings reveal that the lexical similarities and differences among the Kirati lang

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Pakray, Partha, Sivaji Bandyopadhyay, and Alexander Gelbukh. "Textual Entailment Using Lexical And Syntactic Similarity." International Journal of Artificial Intelligence & Applications 2, no. 1 (2011): 43–58. http://dx.doi.org/10.5121/ijaia.2011.2104.

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Zimack, Liza K., James R. Sawusch, Kathleen M. Measer, Paul A. Luce, and Rochelle S. Newman. "Talker voice and similarity affect lexical neighborhoods." Journal of the Acoustical Society of America 108, no. 5 (2000): 2479. http://dx.doi.org/10.1121/1.4743146.

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Steriade, Donca. "Knowledge of Similarity and Narrow Lexical Override." Annual Meeting of the Berkeley Linguistics Society 29, no. 1 (2003): 583. http://dx.doi.org/10.3765/bls.v29i1.989.

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Proceedings of the Twenty-Ninth Annual Meeting of the Berkeley Linguistics Society: General Session and Parasession on Phonetic Sources of Phonological Patterns: Synchronic and Diachronic Explanations (2003)

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Weber, Andrea, and Anne Cutler. "Perceptual similarity co‐existing with lexical dissimilarity." Journal of the Acoustical Society of America 114, no. 4 (2003): 2422. http://dx.doi.org/10.1121/1.4809192.

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Maldonado García, María Isabel, and Ana Borges de Souza. "LEXICAL SIMILARITY LEVEL BETWEEN ENGLISH AND PORTUGUESE." Elia 14, no. 13 (2014): 145–63. http://dx.doi.org/10.12795/elia.2014.i14.06.

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Mohammed, Khalid Mahmood, Qadir Hama Rash Ali, Amin Qadir Hama Rash Mohammed, Khalid Mahmood Saeed, and Güler Hüseyin. "Kurdish and Persian: Dialects or Separate Languages?" International Journal of Social Science And Human Research 06, no. 04 (2023): 2216–22. https://doi.org/10.5281/zenodo.7828190.

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Although it is not quietly supported nowadays, some linguistics and orientalists believed/proposed that due to the large resemblance between the two and somehow mutual ineligibility, Kurdish is a dialect of Persian. The objective of this paper was to answer this hypothesis from a lexical point of view. Lexical Similarity measures the similarity and/or difference between a set of words from any given two languages. Despite the abundance of lexical similarity coefficients between various world languages in the literature, there are no available data on Kurdish and Persian, even though many Kurdi

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Andrews, Sally. "Frequency and neighborhood effects on lexical access: Lexical similarity or orthographic redundancy?" Journal of Experimental Psychology: Learning, Memory, and Cognition 18, no. 2 (1992): 234–54. http://dx.doi.org/10.1037/0278-7393.18.2.234.

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15

Kerkman, Hans. "De Organisatie Van Het Tweetalige Lexicon." Lexicon en taalverwerving 34 (January 1, 1989): 115–21. http://dx.doi.org/10.1075/ttwia.34.15ker.

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In this article a description is given of a series of experiments in which it was tried to discover to what extend lexical items from two languages are stored separately or jointly. The experimental tasks used were lexical decision tasks with repetition and priming. Four different types of words were used that varied with respect to similarity in form and meaning in the two languages Dutch and English. Subjects were Dutch university students and members of staff from the English department. It was shown that words that are similar in the two langauges with respect to both form and meaning have

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Mohammed, Khalid Mahmood. "Degree of Lexical Similarity between English and Kurdish." International Journal of Social Science And Human Research 05, no. 10 (2022): 4476–83. https://doi.org/10.5281/zenodo.7740245.

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Indo-European languages are the native languages of the habitants of south and west Eurasia. It is the largest spoken language family in the world with 3.5 billion speakers, corresponding to 46% of the world population. Kurdish and English are genetically related, belong to the same family branch of languages, and are believed to have evolved from a common proto-language. Lexical Similarity measures the similarity and/or difference between a set of words from any given two languages. Despite the abundance of lexical similarity coefficients between various world languages in the literature, the

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Kit, Chunyu, Jonathan J. Webster, King-Kui Sin, Haihua Pan, and Heng Li. "Clause alignment for Hong Kong legal texts." International Journal of Corpus Linguistics 9, no. 1 (2004): 29–51. http://dx.doi.org/10.1075/ijcl.9.1.02kit.

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In this paper we report on our recent work in clause alignment for English-Chinese bilingual legal texts using available lexical resources including a bilingual legal glossary and a bilingual dictionary, for the purpose of acquiring examples at various linguistic levels for example-based machine translation. We present our formulation of an appropriate measure for the similarity of a candidate pair of clauses with respect to matched lexical items and the corresponding implementation of an effective algorithm for clause alignment based on this similarity measure. Experimental results show that

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Post da Silveira, Amanda, Vincent J. van Heuven, Johanneke Caspers, and Niels O. Schiller. "Dual activation of word stress from orthography." Dutch Journal of Applied Linguistics 3, no. 2 (2014): 171–98. http://dx.doi.org/10.1075/dujal.3.2.05sil.

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Studies in bilingualism have shown that words activate form-similar neighbors in both first (L1) and second (L2) languages. Accordingly, we hypothesized that the degree of form similarity between L1–L2 word pairs causes a proportional amount of prosodic transfer in L2 speech production. Thus, cognate pairs L1–L2 which bear lexical stress in the same syllable position should be facilitated in L2 production, while cognates with stress on mismatching positions L1–L2 should be inhibited. The results of a speeded word naming task with English L2 speakers showed facilitation in production of cognate

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Turnbull, Rory, and Sharon Peperkamp. "The asymmetric contribution of consonants and vowels to phonological similarity." Mental Lexicon 12, no. 3 (2017): 404–30. http://dx.doi.org/10.1075/ml.17010.tur.

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Abstract Lexical priming is known to arise from phonological similarity between prime and target, and this phenomenon is an important component of our understanding of the processes of lexical access and competition. However, the precise nature of the role of phonological similarity in lexical priming is understudied. In the present study, two experiments were conducted in which participants performed auditory lexical decision on CVC targets which were preceded by primes that either matched the target in all phonemes (CVC condition), in the first two phonemes (CV_ condition), the last two phon

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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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Endang, Wahyu Pamungkas, Sarno Riyanarto, and Munif Abdul. "B-BabelNet: Business-Specific Lexical Database for Improving Semantic Analysis of Business Process Models." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 2 (2017): 407–14. https://doi.org/10.12928/TELKOMNIKA.v15i1.3176.

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Similarity calculation between business process models has an important role in managing repository of business process model. One of its uses is to facilitate the searching process of models in the repository. Business process similarity is closely related to semantic string similarity. Semantic string similarity is usually performed by utilizing a lexical database such as WordNet to find the semantic meaning of the word. The activity name of the business process uses terms that specifically related to the business field. However, most of the terms in business domain are not available in Word

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Hema Latha, D., and D. Linga Reddy. "Semantic Similarity Measurement between Words using Lexical Patterns." CVR Journal of Science & Technology 8, no. 1 (2015): 73–78. http://dx.doi.org/10.32377/cvrjst0814.

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23

Scarborough, Rebecca. "Lexical similarity and speech production: Neighborhoods for nonwords." Lingua 122, no. 2 (2012): 164–76. http://dx.doi.org/10.1016/j.lingua.2011.06.006.

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Manurung, Ruli, Graeme Ritchie, Helen Pain, Annalu Waller, Rolf Black, and Dave O’Mara. "Adding phonetic similarity data to a lexical database." Language Resources and Evaluation 42, no. 3 (2008): 319–24. http://dx.doi.org/10.1007/s10579-008-9069-5.

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Rocabado, Francisco, Melanie Labusch, Manuel Perea, and Jon Andoni Duñabeitia. "Dissociating the Effects of Visual Similarity for Brand Names and Common Words." Journal of Cognition 7, no. 1 (2024): 67. http://dx.doi.org/10.5334/joc.397.

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Abstractionist models of visual word recognition can easily accommodate the absence of visual similarity effects in misspelled common words (e.g., viotin vs. viocin) during lexical decision tasks. However, these models fail to account for the sizable effects of visual similarity observed in misspelled brand names (e.g., anazon produces longer responses and more errors than atazon). Importantly, this dissociation has only been reported in separate experiments. Thus, a crucial experiment is necessary to simultaneously examine the role of visual similarity with misspelled common words and brand n

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Weeds, Julie, and David Weir. "Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity." Computational Linguistics 31, no. 4 (2005): 439–75. http://dx.doi.org/10.1162/089120105775299122.

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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 other applications, distributional similarity is taken to be an approximation to semantic similarity. However, due to the wide range of potential applications and the lack of a strict definition of the concept of distributional similarity, many m

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Rai, Tara Mani. "Lexical comparison in Hayu: a lexicostatistical analysis." Gipan 4 (December 31, 2019): 162–74. http://dx.doi.org/10.3126/gipan.v4i0.35464.

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This article presents the lexicostatistical analysis of Hayu language based on 210 wordlist. There appear different ranges of lexical and phonetic similarities across the five different survey points. Being based on the Mudhajor, the core area of Hayu, exhibits a significant degree of lexical similarity with other points, i.e. Aadmara, Kodre, Wadi and Balingkhola. Such similarity percentages clearly indicate that Hayu spoken in five different points are mutually intelligible to each other. The lexicostatistical data, therefore, show that there is not much lexical variations across the villages

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Hassan, Ahmed, Dragomir Radev, Junghoo Cho, and Amruta Joshi. "Content Based Recommendation and Summarization in the Blogosphere." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (2009): 34–41. http://dx.doi.org/10.1609/icwsm.v3i1.13951.

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This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog is assigned a score that reflects how representative it is. Blog scores are calculated recursively in terms of the scores of their neighbors in a lexical similarity graph. A random walk is performed on a graph where nodes represent blogs and edges link lexically similar blogs. Lexical similarity is measured using either the cosine similarity measure, or the Kullback-Leibler (KL) divergence. In addition, the presented

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Schelletter, Christina. "The effect of form similarity on bilingual children's lexical development." Bilingualism: Language and Cognition 5, no. 2 (2002): 93–107. http://dx.doi.org/10.1017/s1366728902000214.

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Previous studies of adult bilinguals have shown that cognates (translation equivalents similar in sound and spelling) are translated faster than non-cognates and different representations for the two categories in bilingual memory have been suggested (Kroll and Stewart 1994, van Hell and de Groot 1998). Assuming that bilingual children's representations are similar to those of adults, effects of form similarity between words should also be observed. This paper examines form-similar nouns in the early lexical development of a bilingual German/English child aged 1;11–2;9 as well as effects of fo

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KIM, SU NAM, and TIMOTHY BALDWIN. "A lexical semantic approach to interpreting and bracketing English noun compounds." Natural Language Engineering 19, no. 3 (2013): 385–407. http://dx.doi.org/10.1017/s1351324913000107.

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AbstractThis paper presents a study on the interpretation and bracketing of noun compounds (‘NCs’) based on lexical semantics. Our primary goal is to develop a method to automatically interpret NCs through the use of semantic relations. Our NC interpretation method is based on lexical similarity with tagged NCs, based on lexical similarity measures derived from WordNet. We apply the interpretation method to both two- and three-term NC interpretation based on semantic roles. Finally, we demonstrate that our NC interpretation method can boost the coverage and accuracy of NC bracketing.

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Laméris, Tim Joris, and Calbert Graham. "L2 Perception and Production of Japanese Lexical Pitch." Journal of Monolingual and Bilingual Speech 2, no. 1 (2020): 106–36. http://dx.doi.org/10.1558/jmbs.14948.

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Adults are known to have difficulties acquiring suprasegmental speech that involves pitch (f0) in a second language (L2) (Graham & Post, 2018; Hirata, 2015; Wang, Spence, Jongman & Sereno, 1999; Wong & Perrachione, 2007). Previous research has suggested that the perceived similarity between L1 and L2 phonology may influence how easily segmental speech is acquired, but this notion of ‘similarity’ may also apply to suprasegmental speech (So & Best, 2010; Wu, Munro & Wang, 2014). In this paper, the L2 acquisition of Japanese lexical pitch was assessed under a ‘Suprasegmental S

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Nenadic, Goran, Irena Spasic, and Sophia Ananiadou. "Mining term similarities from corpora." Recent Trends in Computational Terminology 10, no. 1 (2004): 55–80. http://dx.doi.org/10.1075/term.10.1.04nen.

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In this article, we present an approach to the automatic discovery of term similarities, which may serve as a basis for a number of term-oriented knowledge mining tasks. The method for term comparison combines internal (lexical similarity) and two types of external criteria (syntactic and contextual similarities). Lexical similarity is based on sharing lexical constituents (i.e. term heads and modifiers). Syntactic similarity relies on a set of specific lexico-syntactic co-occurrence patterns indicating the parallel usage of terms (e.g., within an enumeration or within a term coordination/conj

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Pirmuhammedova, Muxlisa Maxsud qizi, and Zilola Yoqubjon qizi Abduraxmanova. "LEXICAL STYLISTIC DEVICES." TECHNICAL SCIENCE RESEARCH IN UZBEKISTAN 1, no. 3 (2023): 132–38. https://doi.org/10.5281/zenodo.10050227.

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One kind of designating phenomenon that contributes to the creation of extra expressive, subjective, and evaluative meanings is the lexical stylistic device. In actuality, we deal with the deliberate replacement of the names that are currently in use, accepted by extensive usage, and established in dictionaries, motivated by the speaker's subjective initial assessment and opinion of the matter. Every kind of deliberate replacement produces a trope, which is another term for a stylistic device.  This process of replacing one object with another is called transference; it arises from the si

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Vitevitch, Michael S., and Paul A. Luce. "When Words Compete: Levels of Processing in Perception of Spoken Words." Psychological Science 9, no. 4 (1998): 325–29. http://dx.doi.org/10.1111/1467-9280.00064.

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Current theories of spoken-word recognition posit two levels of representation and process: lexical and sublexical. By manipulating probabilistic phonotactics and similarity-neighborhood density, we attempted to determine if these two levels of representation have dissociable effects on processing. Whereas probabilistic phonotactics have been associated with facilitatory effects on recognition, increases in similarity-neighborhood density typically result in inhibitory effects on recognition arising from lexical competition. Our results demonstrated that when the lexical level is invoked using

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Goh, Winston D., and David B. Pisoni. "Effects of Lexical Competition on Immediate Memory Span for Spoken Words." Quarterly Journal of Experimental Psychology Section A 56, no. 6 (2003): 929–54. http://dx.doi.org/10.1080/02724980244000710.

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Current theories and models of the structural organization of verbal short-term memory are primarily based on evidence obtained from manipulations of features inherent in the short-term traces of the presented stimuli, such as phonological similarity. In the present study, we investigated whether properties of the stimuli that are not inherent in the short-term traces of spoken words would affect performance in an immediate memory span task. We studied the lexical neighbourhood properties of the stimulus items, which are based on the structure and organization of words in the mental lexicon. T

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Jeong, Hye-Jin, and Yong-Sung Kim. "An XML Tag Indexing Method Using on Lexical Similarity." KIPS Transactions:PartB 16B, no. 1 (2009): 71–78. http://dx.doi.org/10.3745/kipstb.2009.16-b.1.71.

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Jain, Swati, Suraj Prakash Narayan, Nalini Meena, et al. "Event Detection through Lexical Chain Based Semantic Similarity Algorithm." IOP Conference Series: Materials Science and Engineering 1166, no. 1 (2021): 012016. http://dx.doi.org/10.1088/1757-899x/1166/1/012016.

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Poulin-Dubois, Diane, Ilana Frank, Susan A. Graham, and Abbie Elkin. "The role of shape similarity in toddlers’ lexical extensions." British Journal of Developmental Psychology 17, no. 1 (1999): 21–36. http://dx.doi.org/10.1348/026151099165131.

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Ferreira, Rafael, Rafael Dueire Lins, Steven J. Simske, Fred Freitas, and Marcelo Riss. "Assessing sentence similarity through lexical, syntactic and semantic analysis." Computer Speech & Language 39 (September 2016): 1–28. http://dx.doi.org/10.1016/j.csl.2016.01.003.

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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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Dollaghan, Christine A. "Children's phonological neighbourhoods: half empty or half full?" Journal of Child Language 21, no. 2 (1994): 257–71. http://dx.doi.org/10.1017/s0305000900009260.

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ABSTRACTCharles-Luce & Luce (1990) found smaller phonological similarity neighbourhoods in five- and seven-year-old children's expressive lexicons than in an adult receptive lexicon, a finding they interpreted as evidence that children need not employ fine-grained auditory perceptual analyses in lexical processing. In the present investigation, neighbourhood sizes were calculated for an expressive lexicon derived from two vocabulary lists representative of children aged 1;0 to 3;0 (Rescorla, 1989; Reznick & Goldsmith, 1989). Over 80% of the words in these early lexicons had at least on

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Majewska, Olga, Diana McCarthy, Jasper J. F. van den Bosch, Nikolaus Kriegeskorte, Ivan Vulić, and Anna Korhonen. "Semantic Data Set Construction from Human Clustering and Spatial Arrangement." Computational Linguistics 47, no. 1 (2021): 69–116. http://dx.doi.org/10.1162/coli_a_00396.

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Abstract 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. Lexical semantic similarity estimation is a widely used evaluation method, but efforts have typically focused on pairwise judgments of words in isolation, or are limited to specific contexts and lexical stimuli. There are limitations with these approaches that either do not provide any context for judgments, and thereby ignore ambiguity, or provide very specific sentential contexts that cannot

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J. Hill, Katherine, and Laura M. Gonnerman. "Graded morphological processing in French." Varia, no. 30 (July 1, 2022): 57–80. http://dx.doi.org/10.54563/lexique.682.

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Understanding how morphologically complex words are processed is crucial to understanding the structure of the mental lexicon. Decomposition accounts of morphological processing receive the most support within the psycholinguistic literature, although some of these accounts have difficulty with words where the morphological status is unclear (e.g., hardly; grocer). These issues of murky morphology may be better accounted for by learning models of processing such as emergentist or discriminative models that derive morphological relationships from semantic and phonologically consistent regularit

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Fauzan, Abd Charis, M. Abd Rouf, Tito Prabowo, and Utrodus Said Al Baqi. "Comparison of Lexical and Semantic Approaches for Relevance Measurement in Quranic Verse Translation Retrieval." Journal of Computer Networks, Architecture and High Performance Computing 7, no. 1 (2025): 163–80. https://doi.org/10.47709/cnahpc.v7i1.5194.

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This research explores the effectiveness of lexical and semantic approaches for relevance measurement in Quranic verse translation retrieval, focusing on Indonesian translations. Quranic verses encompass complex linguistic structures and diverse contexts, making precise retrieval challenging. Two retrieval methods were evaluated: lexical similarity, which focuses on exact word matches, and semantic similarity, which captures contextual meaning using word embeddings. The study utilized a dataset of Indonesian Quranic translations, preprocessed to normalize and tokenize text, with experimental q

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Vondráček, Miloslav. "Lexicon of grammatical-semantic features: discontinuity." Bohemistyka, no. 1 (March 24, 2023): 3–18. http://dx.doi.org/10.14746/bo.2023.1.1.

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The contribution represents a fragment of an intended Lexicon of grammatical-semantic features. It presents only very general properties as components of grammatical categories and the results of their presence or non-presence for category value interpretation and for (in)compatibility of language means. Grammatical features of a lexical unit can be described with the help of the tagset, i.e., analytical morphological label. Similarly, it is possible to describe a complete grammeme on the principle of fractals, including inner structure of each grammatical category and their values with the he

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Hasan, Mahmud, Hasan Mahmud, Ryhan Kabir Farhana, and Zahiruddin Aqib Md. "A Systematic Literature Review of Similarity Analysis Techniques for Bangla Text." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 10 (2025): 3051–358. https://doi.org/10.5281/zenodo.14730649.

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Natural language processing (NLP) includes similarity analysis of words, phrases, or texts in the context of lexical analysis and semantic analysis. Because Bangla is a language with few resources, this process is more difficult for this language. Different types of methods are used to extract the similarity based on meaning. Compared to lexical similarity analysis, semantic similarity analysis is more difficult. We primarily addressed the theoretical aspect of the semantic similarity analysis in this study. A small number of approaches are investigated and found to be effective in identifying

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Ghoura, Hamza, та Mostafa Bouanani. "Istirātījiyyātu al-Nafādi Ilá al-Muʻjami al-Żihnī lada Talāmīżi al-Sanati al-Śāliśati min al-Taʻlīmi al-Śānawī al-Iʻdādiyyi [Mental Lexicon Access Strategies for Students of the Third Year of Preparatory Secondary Education]". OKARA: Jurnal Bahasa dan Sastra 17, № 2 (2023): 243–64. http://dx.doi.org/10.19105/ojbs.v17i2.10358.

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Lexical units are organized within the mental lexicon, and the processes of constructing, processing, and accessing them are organized according to extremely complex mental pathways. This requires language speakers to activate them and use them quickly and effectively in their linguistic achievement. The more the speaker's access to his mental lexicon is sound, the more he can communicate successfully in different linguistic contexts. This research paper attempts to contribute to deriving some appropriate strategies for accessing the mental lexicon according to the parametric peculiarities of

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Colla, Davide, Enrico Mensa, and Daniele P. Radicioni. "LessLex: Linking Multilingual Embeddings to SenSe Representations of LEXical Items." Computational Linguistics 46, no. 2 (2020): 289–333. http://dx.doi.org/10.1162/coli_a_00375.

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We present LESSLEX, a novel multilingual lexical resource. Different from the vast majority of existing approaches, we ground our embeddings on a sense inventory made available from the BabelNet semantic network. In this setting, multilingual access is governed by the mapping of terms onto their underlying sense descriptions, such that all vectors co-exist in the same semantic space. As a result, for each term we have thus the “blended” terminological vector along with those describing all senses associated to that term. LESSLEX has been tested on three tasks relevant to lexical semantics: con

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Lepshakova, A. I., and O. V. Kurskikh. "Some results of the digital analysis of the semantic similarity of audiovisual translation texts (based on the films directed by Denis Villeneuve)." Current Issues in Philology and Pedagogical Linguistics, no. 1 (March 25, 2025): 132–50. https://doi.org/10.29025/2079-6021-2025-1-132-150.

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The article analyses different translation versions of science fiction films directed by Denis Villeneuve with the aim of determining their semantic similarity through NLP analysis. There are four groups of metrics used in text analysis: semantic (cosine similarity and Word Mover’s Distance), lexical (Levenshtein distance and Jaccard coefficient), vector (Euclidean and Manhattan distance) and correlation (Pearson correlation coefficient and Spearman’s rank correlation coefficient). The material of the study is the subtitled translations into Russian of the ‘Dune: Part One’ and the dubbed and s

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Qasem, Mousa, and Rebecca Foote. "CROSSLANGUAGE LEXICAL ACTIVATION." Studies in Second Language Acquisition 32, no. 1 (2010): 111–40. http://dx.doi.org/10.1017/s0272263109990271.

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This study tested the predictions of the revised hierarchical (RHM) and morphological decomposition (MDM) models with Arabic-English bilinguals. The RHM (Kroll & Stewart, 1994) predicts that the amount of activation of first language translation equivalents is negatively correlated with second language (L2) proficiency. The MDM (Frost, Forster, & Deutsch, 1997) claims that in nonconcatenative languages, including Arabic, activation spreads by morphological identity rather than orthographic similarity. To test these two models, native speakers of Arabic at two levels of English L2 profi

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