Journal articles: 'Syntactic-semantic analysis'

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Salkoff, Morris. "Syntactic Analysis and Semantic Processing." Revue québécoise de linguistique 14, no. 2 (May 22, 2009): 49–63. http://dx.doi.org/10.7202/602538ar.

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Résumé L’auteur examine diverses difficultés qu’on rencontre lors de l’analyse automatique d’une langue naturelle. Il montre qu’une analyse syntaxique détaillée permet de détecter et d’écarter des analyses incohérentes du point de vue de la syntaxe sans devoir recourir à la sémantique. Ensuite, certaines analyses syntaxiquement bien formées, mais incohérentes sur le plan sémantique peuvent aussi être écartées en incorporant la sémantique directement dans la grammaire, sans construire un composant sémantique indépendant. Ceci peut être fait au moyen de règles de sélection verbales fines et d’une classification lexicale détaillée basée sur ces règles de sélection. Si les difficultés qui subsistent ne peuvent pas être traitées par ces deux méthodes, elles ne peuvent non plus l’être au moyen d’un composant sémantique autonome.

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Perak, Benedikt, and Tajana Ban Kirigin. "Corpus-Based Syntactic-Semantic Graph Analysis." Rasprave Instituta za hrvatski jezik i jezikoslovlje 46, no. 2 (October 30, 2020): 957–96. http://dx.doi.org/10.31724/rihjj.46.2.27.

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This research exemplifies the corpus-based graph approach to the syntactic-semantic analysis of a concept feeling using the Construction Grammar Conceptual network methodology. by constructing a lexical network from grammatically tagged collocations of the english and the Croatian web corpora, the structure of the semantic domains is revealed as a set of sub-graphs derived from the source lexeme’s friend-of-a-friend graph. the subgraph structures, calculated with the community detection algorithm, are interpreted as the semantic domains associated with the source lexeme’s conceptual matrix. lexical structures are analyzed using a centrality algorithm that determines the overall rank of the salience and semantic relatedness to the source concept feeling. this empirical approach can be used for developing nlP methods and tasks, such as computing semantic similarity, sense disambiguation, sense structuring, as well as for comparative corpus and cross-cultural studies. ConGraCnet has a web application on the page <a target="_blank" rel="nofollow" href="http://emocnet.uniri.hr/congracnet">http://emocnet.uniri.hr/congracnet</a>.

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Thomas, Emma. "On ‘Syntactic’ versus ‘Semantic’ Telicity." Adpositions of Movement 18 (December 31, 2004): 145–66. http://dx.doi.org/10.1075/bjl.18.08tho.

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This paper argues that the distribution of the prepositions in and on suggests that they are unable to express direction and can only indicate the goal in certain specific contexts, often those in which the direction is expressed by the verb. This analysis of in and on is in direct contradiction to previous analyses of PP that have assumed that these prepositions can be both locative and directional. The significance of the distribution of in and on for analyses of the syntax of PP is discussed. Distributional facts suggest that while into and onto must be regarded as prepositions of movement and PP as an independent domain of telicity, in and on are not themselves prepositions of movement but rather can only have a goal interpretation in certain specific circumstances. An alternative account of PP is put forward whereby in and on are the surface manifestations of a syntactically atelic PP and, in those contexts where they are able to indicate the goal, this must be due to factors external to PP, probably to particular combinations of semantic features at the interpretive interface or in some cases to pragmatic or contextual factors.

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강승만. "A Dual Analysis of Arguments: Semantic and Syntactic." Studies in English Language & Literature 45, no. 1 (February 2019): 241–59. http://dx.doi.org/10.21559/aellk.2019.45.1.012.

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Xin, Qin, and Heung-Soo Park. "Semantic and Syntactic Analysis of “X化” Structure." Journal of Chinese Studies 92 (May 30, 2020): 27–46. http://dx.doi.org/10.36493/jcs.92.2.

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Tsuboi, Hiroyuki. "Speech recognition apparatus using syntactic and semantic analysis." Journal of the Acoustical Society of America 99, no. 6 (1996): 3284. http://dx.doi.org/10.1121/1.414942.

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Hanley, J. Richard. "Semantic heuristics, syntactic analysis, and case-role assignment." Journal of Psycholinguistic Research 16, no. 4 (July 1987): 329–34. http://dx.doi.org/10.1007/bf01069286.

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Tang, Ning, Hao-ran Tang, and Dong-Ho Kim. "Semantic and Syntactic Analysis of "Nanmian" and "Bumian"." JOURNAL OF CHINESE HUMANITIES 77 (April 30, 2021): 33–46. http://dx.doi.org/10.35955/jch.2021.04.77.33.

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Kang, Won-Seog, Do-Sam Hwang, and Jung H. Kim. "Discriminator of Similar Documents Using Syntactic and Semantic Analysis." Journal of the Korea Contents Association 14, no. 3 (March 28, 2014): 40–51. http://dx.doi.org/10.5392/jkca.2014.14.03.040.

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Yang, Yong-Joon. "The Syntactic & Semantic Use and Analysis of Polysemy." NEW STUDIES OF ENGLISH LANGUAGE & LITERATURE 65 (November 30, 2016): 233. http://dx.doi.org/10.21087/nsell.2016.11.65.233.

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Shelmanov, A. O., M. A. Kamenskaya, M. I. Ananyeva, and I. V. Smirnov. "Semantic-Syntactic Analysis for Question Answering and Definition Extraction." Scientific and Technical Information Processing 44, no. 6 (December 2017): 412–23. http://dx.doi.org/10.3103/s0147688217060089.

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Abe, Masahiro, Hiroshi Sakou, and Hirohiko Sagawa. "Sign language translation based on syntactic and semantic analysis." Systems and Computers in Japan 25, no. 6 (1994): 91–103. http://dx.doi.org/10.1002/scj.4690250610.

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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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Suleman, Raja Muhammad, and Ioannis Korkontzelos. "Extending latent semantic analysis to manage its syntactic blindness." Expert Systems with Applications 165 (March 2021): 114130. http://dx.doi.org/10.1016/j.eswa.2020.114130.

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Ali, Faiza Qanbar. "Syntactic and Semantic Analysis of English and Arabic Objects: A Contrastive Study." Al-Adab Journal 2, no. 126 (September 15, 2018): 1–8. http://dx.doi.org/10.31973/aj.v2i126.46.

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English and Arabic belong to different language families since they have different grammar and structures .The main purpose of this paper is to show similarities and differences between English and Arabic objects in terms of syntactic and semantic classification. Moreover, the current paper aims at highlighting the divergences and convergences that exist between English and Arabic objects from syntactic and semantic point of view .The paper falls into three sections: section one sheds some light on basic terms that are of relevance to the core of the study. Section two deals with the syntactic and semantic analysis of English objects. Section three deals with the syntactic and semantic analysis of Arabic objects. The main findings that this paper has come up with can be summarized as follows : an object is an entity or participant that undergoes an action done by the performer of the action. Syntactically speaking, an English object can be direct , indirect or complement .Semantically speaking , objects can be affected , recipient, attribute and effected. Syntactically speaking , Arabic objects can be cognate , causative ,or concomitant .Semantically speaking , Arabic objects can come as a receiver , agentive or beneficiary.

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Khachatryan, Robert. "On Semantic and Syntactic Structures of Sentences with Deadjectival Causative Verbs in Modern English." Armenian Folia Anglistika 7, no. 1 (8) (April 15, 2011): 63–70. http://dx.doi.org/10.46991/afa/2011.7.1.063.

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The article investigates the semantic and syntactic structures of sentences with deadjectival causative verbs in modern English. The analysis of these structures and their interrelations has been conducted at two levels – surface (syntactic) and deep (semantic). The article aims to reveal the correlation of meanings of the deadjectival causative verbs and their valency, as well as to compare the semantic and syntactic structures of the sentences made up of these verbs.

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Bovi, Claudio Delli, Luca Telesca, and Roberto Navigli. "Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis." Transactions of the Association for Computational Linguistics 3 (December 2015): 529–43. http://dx.doi.org/10.1162/tacl_a_00156.

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We present DefIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we leverage syntactic dependencies to reduce data sparsity, then disambiguate the arguments and content words of the relation strings, and finally exploit the resulting information to organize the acquired relations hierarchically. The output of DefIE is a high-quality knowledge base consisting of several million automatically acquired semantic relations.

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Sagna, Serge. "Syntactic and semantic agreement in Eegimaa (Banjal)." Studies in Language 43, no. 3 (November 18, 2019): 585–627. http://dx.doi.org/10.1075/sl.14023.sag.

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Abstract Typological research on agreement systems recognises syntactic and semantic agreement as the two main types of agreement, with the former considered to be more canonical. An examination of different manifestations of semantic agreement found in the Gújjolaay Eegimaa1 noun class (non sex based gender) system is proposed in this paper from the perspective of Canonical Typology, and the findings are related to the Agreement Hierarchy predictions. The results show that Eegimaa has hybrid nouns and constructional mismatches which trigger semantically based agreement mismatches, both in gender and number between controller nouns and certain targets. This paper shows that Eegimaa has two main subtypes of semantic agreement: human semantic agreement and locative semantic agreement. The data and the analysis proposed here reveal novel results according to which these two types of semantic agreement behave differently in relation to the Agreement Hierarchy.

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Hall, David Patrick, and Ivano Caponigro. "On the semantics of when-clauses." Semantics and Linguistic Theory, no. 20 (April 3, 2015): 544. http://dx.doi.org/10.3765/salt.v0i20.2566.

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This paper is about non-interrogative temporal embedded clauses introduced by when (temporal when-clauses), their semantic interpretation and their syntax/semantics mapping. Our goal is to provide a fully compositional account of temporal when-clauses that accounts for their formal identity with interrogative clauses and their difference in meaning. The main idea is that temporal when-clauses are syntactically and semantically free relative clauses. Previous syntactic analyses (Grimshaw 1977, Bresnan and Grimshaw 1978, a.o) have provided robust support to the syntactic side of this claim. On the other hand, the semantic proposals for temporal when-clauses that we are aware of (Bonomi 1997, Vikner 2004, Moens and Steedman 1988) have ignored these syntactic conclusions and have argued for analyses that are problematic for the syntactic/semantic mapping. These semantic analyses are also not fully adequate in handling the interpretative properties of these clauses. We provide evidence from the distributional and interpretive properties of when-clauses as well as from the temporal alignment of the matrix clause with the when-clause that supports our analysis.

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Hall, David Patrick, and Ivano Caponigro. "On the semantics of when-clauses." Semantics and Linguistic Theory 20 (August 14, 2010): 544. http://dx.doi.org/10.3765/salt.v20i0.2566.

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This paper is about non-interrogative temporal embedded clauses introduced by when (temporal when-clauses), their semantic interpretation and their syntax/semantics mapping. Our goal is to provide a fully compositional account of temporal when-clauses that accounts for their formal identity with interrogative clauses and their difference in meaning. The main idea is that temporal when-clauses are syntactically and semantically free relative clauses. Previous syntactic analyses (Grimshaw 1977, Bresnan and Grimshaw 1978, a.o) have provided robust support to the syntactic side of this claim. On the other hand, the semantic proposals for temporal when-clauses that we are aware of (Bonomi 1997, Vikner 2004, Moens and Steedman 1988) have ignored these syntactic conclusions and have argued for analyses that are problematic for the syntactic/semantic mapping. These semantic analyses are also not fully adequate in handling the interpretative properties of these clauses. We provide evidence from the distributional and interpretive properties of when-clauses as well as from the temporal alignment of the matrix clause with the when-clause that supports our analysis.

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Salibekyan, S. M. "Object-Attribute Approach for Semantic Analysis of Natural Language." INFORMACIONNYE TEHNOLOGII 27, no. 5 (May 18, 2021): 267–74. http://dx.doi.org/10.17587/it.27.267-274.

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he article describes the methodology of semantic analysis of natural language (NL) and semantic search in it, which includes: the general stages of analysis of NL, the format of the semantic network for presenting the meaning of the text, words polysemy analysis, semantic and syntactic agreement of words, etc. The method is based on the object-attribute principle of organization of calculations and data structures, belonging to the dataflow class.

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Delić, Amer, and Alma Jahić Jašić. "Linguistic complexity in high-school students’ EFL writing." ExELL 5, no. 2 (December 1, 2017): 122–46. http://dx.doi.org/10.2478/exell-2019-0003.

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Abstract This study examined the syntactic and semantic complexity of L2 English writing in a Bosnian-Herzegovinian high school. Forty texts written by individual students, ten per grade, were quantitatively analyzed by applying methods established in previous research. The syntactic portion of the analysis, based on the t-unit analysis introduced by Hunt (1965), was done using the Web-based L2 Syntactic Complexity Analyzer (Lu, 2010), while the semantic portion, largely based on the theory laid out in systemic functional linguistics (Halliday & Matthiessen, 2014), was done using the Web-based Lexical Complexity Analyzer (Ai & Lu, 2010) as well as manual identification of grammatical metaphors. The statistical analysis included tests of variance, correlation, and effect size. It was found that the syntactic and semantic complexity of writing increases in later grades; however, this increase is not consistent across all grades.

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Mabuchi, Hiroshi, Kiyoshi Akama, Takahiko Ishikawa, and Hidekatsu Koike. "Integration of Syntactic Analysis and Semantic Interpretation Based on Equivalent Transformation." Journal of Advanced Computational Intelligence and Intelligent Informatics 7, no. 3 (October 20, 2003): 306–14. http://dx.doi.org/10.20965/jaciii.2003.p0306.

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Making an efficient algorithm for natural language understanding by means of flexible and cooperative interaction between syntactic analysis and semantic interpretation is very difficult. In order to overcome the difficulties, the present paper proposes a new method for designing knowledge processing systems, the computation of which is based on equivalent transformation of declarative descriptions. Basic procedures for syntactic analysis and semantic interpretation are formalized as mutually independent equivalent transformation rules. Rule selection is dynamically determined flexibly during execution by a general principle independent of the domain of sentences.

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Wang, Jin, Mabel L. Rice, and James R. Booth. "Syntactic and Semantic Specialization and Integration in 5- to 6-Year-Old Children during Auditory Sentence Processing." Journal of Cognitive Neuroscience 32, no. 1 (January 2020): 36–49. http://dx.doi.org/10.1162/jocn_a_01477.

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Previous studies have found specialized syntactic and semantic processes in the adult brain during language comprehension. Young children have sophisticated semantic and syntactic aspects of language, yet many previous fMRI studies failed to detect this specialization, possibly due to experimental design and analytical methods. In this current study, 5- to 6-year-old children completed a syntactic task and a semantic task to dissociate these two processes. Multivoxel pattern analysis was used to examine the correlation of patterns within a task (between runs) or across tasks. We found that the left middle temporal gyrus showed more similar patterns within the semantic task compared with across tasks, whereas there was no difference in the correlation within the syntactic task compared with across tasks, suggesting its specialization in semantic processing. Moreover, the left superior temporal gyrus showed more similar patterns within both the semantic task and the syntactic task as compared with across tasks, suggesting its role in integration of semantic and syntactic information. In contrast to the temporal lobe, we did not find specialization or integration effects in either the opercular or triangular part of the inferior frontal gyrus. Overall, our study showed that 5- to 6-year-old children have already developed specialization and integration in the temporal lobe, but not in the frontal lobe, consistent with developmental neurocognitive models of language comprehension in typically developing young children.

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Qiang, Yan, Ruiliang Ma, and Wei Wei. "Discourse Anaphora Resolution Strategy Based on Syntactic and Semantic Analysis." Information Technology Journal 12, no. 24 (December 1, 2013): 8204–11. http://dx.doi.org/10.3923/itj.2013.8204.8211.

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Akhin, Marat, and Vladimir Itsykson. "Tree Slicing in Clone Detection: Syntactic Analysis Made (Semi)-Semantic." Modeling and Analysis of Information Systems 19, no. 6 (March 12, 2015): 69–78. http://dx.doi.org/10.18255/1818-1015-2012-6-69-78.

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Nowadays most of software contains code duplication that leads to serious problems in software maintenance. A lot of different clone detection approaches have been proposed over the years to deal with this problem, but almost all of them do not consider semantic properties of the source code. We propose to reinforce traditional tree-based clone detection algorithms by using additional information about variable slices. This allows to find intertwined/gapped clones on variables; preliminary evaluation confirms applicability of our approach to real-world software.

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Sujaya, Nyoman, I. Nyoman Kardana, Ketut Artawa, and Made Sri Satyawati. "The Syntactic and Semantic Analysis of Suffix -in in Balinese." International Linguistics Research 2, no. 4 (December 9, 2019): p14. http://dx.doi.org/10.30560/ilr.v2n4p14.

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This paper discusses the syntactic and semantic analysis of Balinese suffix -in. It is to determine its distribution in sentence construction. This study uses the RRG theory by Van Valin and Randy (1999) supported by the data taken from Balinese articles issued in the Bali Orti of Bali Post newspapers. The result of the analysis shows that as a transitivizing suffix, Balinese suffix -in can be added to nominal, adjectival, adverbial, intransitive and transitive bases. Syntactically, -in can be used in stative, transitive, imperative, passive constructions. The word orders assigned by the suffix -in require different morphology of the verbs. Semantically, the derived verbs with -in refer to the activities treating object as static target of action. As an applicative suffix, -in expresses causative, benefactive, source or locative meaning.

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Novikova, Olga, Gulnara Garipova, and Zulfiya Izimarieva. "Nominations of Molecular Cuisine Dishes: Lexical, Syntactic and Semantic Analysis." Space and Culture, India 7, no. 3 (November 25, 2019): 215–23. http://dx.doi.org/10.20896/saci.v7i3.542.

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Non-traditional foods of molecular cuisine are a new category of foods and experience for consumers. The objective of this study was to conduct the structural and semantic analysis of the names of dishes of this new scientific field and avant-garde culinary practice. The main idea was to reveal the trend and trace the dynamics of naming dishes and to define the degree of reflecting the essence of molecular cuisine in the names of dishes. The study of empirical material taken from current collections of recipes and restaurant menus using a set of linguistic analysis methods has allowed authors to identify models of the syntactic organisation of nominations; characterise the primary way of connecting their components as oxymoron; highlight a number of keywords that arrange these nominations on the basis of cooking technology into several subject groups; postulate the predominance of phrase-names with transparent semantics over names with an opaque inner form including eponymous nominations; outline the ways of further studying the names of dishes of this cuisine from comparative, translational and linguistic-cognitive points of view.

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Zhang, Dianyuan, Zhenfang Zhu, Shiyong Kang, Guangyuan Zhang, and Peiyu Liu. "Syntactic and semantic analysis network for aspect-level sentiment classification." Applied Intelligence 51, no. 8 (February 3, 2021): 6136–47. http://dx.doi.org/10.1007/s10489-021-02189-6.

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Wang, Leihong. "An Event Structure Analysis of Object-oriented Adverbial Clauses." Theory and Practice in Language Studies 9, no. 1 (January 1, 2019): 98. http://dx.doi.org/10.17507/tpls.0901.15.

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In Mandarin Chinese, there exists such adverbial clause as “Li Zhen cuicuide zhale yipan huashengmi” (Li Zhen fried a dish of peanuts crispy), in which the adverbial modifies the predicate verb but semantically orients to the object. This kind adverbial clause can be formulated as “NPs+APo+De+VP+NPo=NP+VP+O and O is characterized by the adverbial”. The object-oriented adverbial clause is a mismatched syntax-semantics phenomenon, with the mapping between form and meaning distorted. Many previous studies have proposed not fully identical analyses for the syntactic distribution, pragmatic motivation and constraints. However, few researches have made syntactic and semantic analyses from the perspective of event structure in the framework of formal linguistics, which leaves wide space for further study.Event structure theory is adopted in this paper to make analysis of object-oriented adverbial clauses in event semantics perspective. This paper aims to examine the syntactic structure from the perspective of event semantic structure and explore how event structure is represented in syntactic structure of object-oriented adverbial clause.

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Kielar, Aneta, Jed A. Meltzer, Sylvain Moreno, Claude Alain, and Ellen Bialystok. "Oscillatory Responses to Semantic and Syntactic Violations." Journal of Cognitive Neuroscience 26, no. 12 (December 2014): 2840–62. http://dx.doi.org/10.1162/jocn_a_00670.

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EEG studies employing time–frequency analysis have revealed changes in theta and alpha power in a variety of language and memory tasks. Semantic and syntactic violations embedded in sentences evoke well-known ERPs, but little is known about the oscillatory responses to these violations. We investigated oscillatory responses to both kinds of violations, while monolingual and bilingual participants performed an acceptability judgment task. Both violations elicited power decreases (event-related desynchronization, ERD) in the 8–30 Hz frequency range, but with different scalp topographies. In addition, semantic anomalies elicited power increases (event-related synchronization, ERS) in the 1–5 Hz frequency band. The 1–5 Hz ERS was strongly phase-locked to stimulus onset and highly correlated with time domain averages, whereas the 8–30 Hz ERD response varied independently of these. In addition, the results showed that language expertise modulated 8–30 Hz ERD for syntactic violations as a function of the executive demands of the task. When the executive function demands were increased using a grammaticality judgment task, bilinguals but not monolinguals demonstrated reduced 8–30 Hz ERD for syntactic violations. These findings suggest a putative role of the 8–30 Hz ERD response as a marker of linguistic processing that likely represents a separate neural process from those underlying ERPs.

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Haggag, Mohamed H. "Semantic Text Summarization Based on Syntactic Patterns." International Journal of Information Retrieval Research 3, no. 4 (October 2013): 18–34. http://dx.doi.org/10.4018/ijirr.2013100102.

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Text summarization is machine based generation of a shortened version of a text. The summary should be a non-redundant extract from the original text. Most researches of text summarization use sentence extraction instead of abstraction to produce a summary. Extraction is depending mainly on sentences that already contained in the original input, which makes it more accurate and more concise. When all input articles are surrounding a particular event, extracting similar sentences would result in producing a highly repetitive summary. In this paper, a novel model for text summarization is proposed based on removing the non-effective sentences in producing an extract from the text. The model utilizes semantic analysis by evaluating sentences similarity. This similarity is provided by evaluating individual words similarity as well as syntactic relationships between neighboring words. These relationships addressed throughout the model as syntactic patterns. Word senses and the correlating part of speech for the word within context are provided in the semantic processing of matched patterns. The introduction of syntactic patterns knowledge supports text reduction by mapping the matched patterns into summarized ones. In addition, syntactic patterns make use of sentence relatedness evaluation in defining which sentences to keep and which to drop. Experiments proved that the model presented throughout the paper is well performing in results evaluation of compression rate, accuracy, recall and other human criteria like correctness, novelty, fluency and usefulness.

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Manuja, Manoj, and Deepak Garg. "Performance and accuracy analysis of semantic kernel functions." Program 50, no. 1 (February 1, 2016): 83–102. http://dx.doi.org/10.1108/prog-04-2014-0028.

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Purpose – Syntax-based text classification (TC) mechanisms have been overtly replaced by semantic-based systems in recent years. Semantic-based TC systems are particularly useful in those scenarios where similarity among documents is computed considering semantic relationships among their terms. Kernel functions have received major attention because of the unprecedented popularity of SVMs in the field of TC. Most of the kernel functions exploit syntactic structures of the text, but quite a few also use a priori semantic information for knowledge extraction. The purpose of this paper is to investigate semantic kernel functions in the context of TC. Design/methodology/approach – This work presents performance and accuracy analysis of seven semantic kernel functions (Semantic Smoothing Kernel, Latent Semantic Kernel, Semantic WordNet-based Kernel, Semantic Smoothing Kernel having Implicit Superconcept Expansions, Compactness-based Disambiguation Kernel Function, Omiotis-based S-VSM semantic kernel function and Top-k S-VSM semantic kernel) being implemented with SVM as kernel method. All seven semantic kernels are implemented in SVM-Light tool. Findings – Performance and accuracy parameters of seven semantic kernel functions have been evaluated and compared. The experimental results show that Top-k S-VSM semantic kernel has the highest performance and accuracy among all the evaluated kernel functions which make it a preferred building block for kernel methods for TC and retrieval. Research limitations/implications – A combination of semantic kernel function with syntactic kernel function needs to be investigated as there is a scope of further improvement in terms of accuracy and performance in all the seven semantic kernel functions. Practical implications – This research provides an insight into TC using a priori semantic knowledge. Three commonly used data sets are being exploited. It will be quite interesting to explore these kernel functions on live web data which may test their actual utility in real business scenarios. Originality/value – Comparison of performance and accuracy parameters is the novel point of this research paper. To the best of the authors’ knowledge, this type of comparison has not been done previously.

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Selot, Smita, Neeta Tripathi, and A. S. Zadgaonkar. "Neural Network Model for Semantic Analysis of Sanskrit Text." International Journal of Natural Computing Research 7, no. 1 (January 2018): 1–14. http://dx.doi.org/10.4018/ijncr.2018010101.

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Semantic analysis is the process of extracting meaning of the sentence, from a given language. From the perspective of computer processing, challenge lies in making computer understand the meaning of the given sentence. Understandability depends upon the grammar, syntactic and semantic representation of the language and methods employed for extracting these parameters. Semantics interpretation methods of natural language varies from language to language, as grammatical structure and morphological representation of one language may be different from another. One ancient Indian language, Sanskrit, has its own unique way of embedding syntactic information within words of relevance in a sentence. Sanskrit grammar is defined in 4000 rules by PaninI reveals the mechanism of adding suffixes to words according to its use in sentence. Through this article, a method of extracting meaningful information through suffixes and classifying the word into a defined semantic category is presented. The application of NN-based classification has improved the processing of text.

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Meir, Irit. "Syntactic-semantic interaction in Israeli Sign Language verbs." Sign Language and Linguistics 1, no. 1 (January 1, 1998): 3–37. http://dx.doi.org/10.1075/sll.1.1.03mei.

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Previous studies of various sign languages have identified several classes of verbs which differ from each other on the basis of which agreement affixes can be attached to them. This paper focuses on one group of verbs, which inflect for person and number (i.e. agreement verbs, using Padden’s 1990 terminology). The paper is concerned with the question of whether the agreement affixes that attach to agreement verbs correspond to the syntactic notions of subject and object, or to the thematic notions of source and goal. It is suggested that this question can be answered only by focusing on a subset of agreement verbs, namely backwards verbs. By comparing backwards verbs to regular agreement verbs, from the points of view of their morphological, syntactic and thematic behavior, the precise nature of the agreement system is revealed: agreement verbs are morphologically marked for both syntactic and thematic agreement. This is achieved by utilizing two different phonological elements available in the language: the direction of the path movement, and the facing (as distinct from orientation) of the hands. This analysis differs from previous treatments, which have disregarded facing as an independent marking device, and have therefore failed to account fully for the facts. It is argued that only an analysis which draws a distinction between these two mechanisms is descriptively adequate and explanatory.

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Kozlowska-Heuchin, Renata. "Méthode D'analyse des Connecteurs du Français en Vue D'un Traitement Automatique." Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources 20, no. 2 (January 1, 1996): 365–80. http://dx.doi.org/10.1075/li.20.2.05koz.

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The subject of this article is the analysis of clauses of aim, cause, consequence and condition in French in view to the automatic processing. Our theoretical framework is that of lexicon-grammar. This study differs from the usual grammatical analyses. Here, the complex sentence is studied on the model of the simple sentence, defined as an operator accompanied by its arguments. The conjunctive phrase is our starting point for this study, and it is then shown that the noun around which it is formed, is of predicative type and has the main clause and the subordinate as arguments. This is a predicate «of second order». Automatic processing requires extremely accurate notation of syntactic and semantic properties if ambiguity and polysemy are to be correctly handled. Those descriptions based on syntactico-semantic features are insufficient, which is why the concept of « class of objects » is brought in. There are as many types of relations as there are semantic types of predicate. This is the reason why a semantic typology of predicates is sketched out, integrating lexical, syntactic and semantic components. It is shown that each semantic type can have its own appropriate lexical means of expression and specific syntactic behaviour.

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Zhu, Shuqin, Jihua Song, Weiming Peng, Dongdong Guo, and Jingbo Sun. "The Measurement of Chinese Sentence Semantic Complexity." Complexity 2020 (November 19, 2020): 1–10. http://dx.doi.org/10.1155/2020/8871263.

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The complexity of language is usually reflected in the complexity of sentences. At present, the research of sentence complexity mainly focuses on the analysis of syntactic complexity. In this paper, from the perspective of Leech's theory of sentence semantic structure, the predication structure is taken as the semantic unit to explore the sentence semantic complexity. The predication structures are extracted based on the result of sentence-based syntactic analysis, and then the linear expression sequence of a sentence is converted into a semantic hierarchy based on predicate semantic frameworks; the universality of predicate semantic frameworks is obtained by using the spectral clustering algorithm; and the sentence semantic complexity depends on the universality of predicate semantic frameworks at various layers. The experimental results show that the measurement method of sentence sematic complexity based on predicate semantic frameworks is more effective by comparing with the method that only considers the semantic categories of words in the sentence.

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González Orta, Marta. "The interrelation of semantic structure and syntactic variation in Old English verb classes: catalogue of syntactico-semantic constructions." Revista Alicantina de Estudios Ingleses, no. 18 (November 15, 2005): 111. http://dx.doi.org/10.14198/raei.2005.18.05.

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The aim of this paper is to motivate the syntactic and morphological behaviour of the Old English verbs which share the core meaning of 'to remember', 'to emit a smell', 'to produce a sound' and 'to speak' from their semantic structure. Firstly, as a result of the analysis of these verb subclasses, I will propose a subclass-based lexical template for each lexical subclass. Within the Lexical Grammar Model, lexical templates are conceived as lexical representations where meaning description is encapsulated and interacts with the syntactic behaviour of lexical units. In order to construct a lexical template, Role and Reference Grammar logical structures will be complemented by a semantic decomposition which will define different lexical (sub-)classes. Secondly, the Lexical Template Modelling Process will stipulate the linking between the syntactic and semantic representation of these verbs. This process will establish the lexical rules that account for the mapping between the different semantic constructions and the syntactic structures and alternations in which these verbs participate and the lexical templates codified by these verb subclasses. As a result, a catalogue of the syntactico-semantic constructions exhibited by these Old English verbal predicates will be provided.

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Xia, Qingrong, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, and Luo Si. "Syntax-Aware Neural Semantic Role Labeling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7305–13. http://dx.doi.org/10.1609/aaai.v33i01.33017305.

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Semantic role labeling (SRL), also known as shallow semantic parsing, is an important yet challenging task in NLP. Motivated by the close correlation between syntactic and semantic structures, traditional discrete-feature-based SRL approaches make heavy use of syntactic features. In contrast, deep-neural-network-based approaches usually encode the input sentence as a word sequence without considering the syntactic structures. In this work, we investigate several previous approaches for encoding syntactic trees, and make a thorough study on whether extra syntax-aware representations are beneficial for neural SRL models. Experiments on the benchmark CoNLL-2005 dataset show that syntax-aware SRL approaches can effectively improve performance over a strong baseline with external word representations from ELMo. With the extra syntax-aware representations, our approaches achieve new state-of-the-art 85.6 F1 (single model) and 86.6 F1 (ensemble) on the test data, outperforming the corresponding strong baselines with ELMo by 0.8 and 1.0, respectively. Detailed error analysis are conducted to gain more insights on the investigated approaches.

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Gulyamova, Shakhnoza Kakhramonovna Gulyamova. "SEMANTIC ANALYSIS AND SYN SIS AND SYNTHESIS IN THE A THESIS IN THE AUTOMATIC ANALYSIS OF THE TEXT." Scientific Reports of Bukhara State University 5, no. 1 (February 26, 2021): 112–24. http://dx.doi.org/10.52297/2181-1466/2021/5/1/9.

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Introduction. In the information-search engine, semantic analysis and synthesis occupy a leading place. When we say automatic semantic analysis, using specially developed linguistic algorithms, we understand a set of methods and techniques that can be used with sufficient accuracy to express the meaning of random speech in a natural language with the help of a rigorous, accurate tool that is carried out on a computer. Highlighting the importance of the semantic analyzer in the information search engine, it is first of all associated with the study of the process of semantic analysis and synthesis in the automatic analysis of the text, the elimination of its problems. Research methods. The direct semantic analysis and synthesis method were used to cover the importance of semantic analysis and synthesis in the automatic analysis of text. Through this, their leading position in the automatic analysis of the text was manifested. Because initially the morphological and syntactic analysis of the text is carried out, and then the semantic analysis is performed. Semantic analysis works with meaning. Moreover, semantics is closely related to philosophy, psychology and other sciences, in addition to knowledge of the structure of the language. In semantic analysis, it is necessary to take into account both the social and cultural features of the native language. The process of human thinking, the means of expressing ideas, is a difficult process to formalize language. Results and discussions.

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González Orta, Marta María. "The syntax and semantics interface of present-day and Old English speech verbs : say and tell versus secgan and tellan." Journal of English Studies 3 (May 29, 2002): 81. http://dx.doi.org/10.18172/jes.70.

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The aim of this paper is to analyse the syntax-semantics interface of the Old English speech verbs secgan and tellan, and the Present-day English speech verbs say and tell, respectively, in order to show the differences in each language when linking their syntactic and semantic representations. In this analysis the concept of lexical template has been applied as a lexical representation which includes syntactic and semantic information within the same format and allows us to capture linguistic regularities. Moreover, taking into account the syntactic alternations of these verbs a comparison between them will be established in terms of the degree of semantic prototypicality that they show within their respective domains and with respect to their transitivity

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Priyono, Priyono. "Towards a Reduction of Grammar Teaching a Lexical Analysis." TEFLIN Journal - A publication on the teaching and learning of English 10, no. 1 (August 29, 2015): 88. http://dx.doi.org/10.15639/teflinjournal.v10i1/88-102.

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Learning a language is essentially learning vocabulary, and it is the lexical competence that enables the learners to use the language with ease. It will be argued that such an ability includes, among the important ones, the knowledge of semantic properties and syntactic behavior of the lexical item as well as its collocation. The acquisition of the semantic properties of a lexical item is ncccssaary to support the learner's ability to distinguish different senses encoded in the lexical item, and the knowledge of syntactic behavior reflects the learner's ability to recognize and produce the syntactic variants into which a lexical item can enter. The collocational competence is the knowledge of the lexical behavior in particular that enables the learner to envisage the possible cooccurrence of other words with the given lexical item. Thus, the acquisition of lexical competence would cover a large part of syntax. This understanding of the nature and characteristics of lexicon would raise some questions on the relevance of putting great emphasis on the teaching of grammar only.

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Abbas, Qaiser, Tehseen Zia, and Ahsan Nabi Khan. "Syntactic and Semantic Analysis of Urdu Modal Verbs using XLE Parser." International Journal of Computer Applications 107, no. 10 (December 18, 2014): 39–46. http://dx.doi.org/10.5120/18791-0127.

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Andujar, Carlos, Cristina R. Vijulie, Alvar Vinacua, Beatriz Sousa Santos, and Ginger Alford. "Syntactic and Semantic Analysis for Extended Feedback on Computer Graphics Assignments." IEEE Computer Graphics and Applications 40, no. 3 (May 1, 2020): 105–11. http://dx.doi.org/10.1109/mcg.2020.2981786.

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Sano, Hikomaro, and Yuzuru Fujiwara. "Syntactic and semantic structure analysis of article titles in analytical chemistry." Journal of Information Science 19, no. 2 (April 1993): 119–24. http://dx.doi.org/10.1177/016555159301900203.

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Newman, Sharlene D., Toshikazu Ikuta, and Thomas Burns Jr. "The effect of semantic relatedness on syntactic analysis: An fMRI study." Brain and Language 113, no. 2 (May 2010): 51–58. http://dx.doi.org/10.1016/j.bandl.2010.02.001.

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Juzek, Tom S., and Yuri Bizzoni. "Syntax-semantics interactions – seeking evidence from a synchronic analysis of 38 languages." F1000Research 10 (April 1, 2021): 265. http://dx.doi.org/10.12688/f1000research.50988.1.

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The notion that, to facilitate processing, as semantic complexity increases, syntactic complexity decreases, follows from various linguistic theories. This brief report presents the results of testing that notion, by analysing synchronic data from 38languages and correlating canonical measures of semantic and syntactic difficulty. We expected an overall positive tendency. However, the results came out mixed to negative. There is a notable degree of variation and there are no clear tendencies within language families. After detailing the theoretic and cognitive reasons that support the original hypothesis, we conclude with a short discussion about the potential causes and implications of our findings. A possible interpretation is that the interaction we are looking for is more subtle than one might have assumed.

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Vo, Anh-Dung, Quang-Phuoc Nguyen, and Cheol-Young Ock. "Semantic and syntactic analysis in learning representation based on a sentiment analysis model." Applied Intelligence 50, no. 3 (August 7, 2019): 663–80. http://dx.doi.org/10.1007/s10489-019-01540-2.

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Kuperberg, G. R., P. K. McGuire, E. T. Bullmore, M. J. Brammer, S. Rabe-Hesketh, I. C. Wright, D. J. Lythgoe, S. C. R. Williams, and A. S. David. "Common and Distinct Neural Substrates for Pragmatic, Semantic, and Syntactic Processing of Spoken Sentences: An fMRI Study." Journal of Cognitive Neuroscience 12, no. 2 (March 2000): 321–41. http://dx.doi.org/10.1162/089892900562138.

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Extracting meaning from speech requires the use of pragmatic, semantic, and syntactic information. A central question is: Does the processing of these different types of linguistic information have common or distinct neuroanatomical substrates? We addressed this issue using functional magnetic resonance imaging (fMRI) to measure neural activity when subjects listened to spoken normal sentences contrasted with sentences that had either (A) pragmatical, (B) semantic (selection restriction), or (C) syntactic (subcategorical) violations sentences. All three contrasts revealed robust activation of the left-inferior-temporal/fusiform gyrus. Activity in this area was also observed in a combined analysis of all three experiments, suggesting that it was modulated by all three types of linguistic violation. Planned statistical comparisons between the three experiments revealed (1) a greater difference between conditions in activation of the left-superior-temporal gyrus for the pragmatic experiment than the semantic/syntactic experiments; (2) a greater difference between conditions in activation of the right-superior and middletemporal gyrus in the semantic experiment than in the syntactic experiment; and (3) no regions activated to a greater degree in the syntactic experiment than in the semantic experiment. These data show that, while left- and right-superior-temporal regions may be differentially involved in processing pragmatic and lexico-semantic information within sentences, the left-inferior-temporal/fusiform gyrus is involved in processing all three types of linguistic information. We suggest that this region may play a key role in using pragmatic, semantic (selection restriction), and subcategorical information to construct a higher representation of meaning of sentences.

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Zavialov, V. N., and Xu Ma. "Particular Semantic and Syntactic Properties of Polyfunctional Lexeme LI." Nauchnyi dialog, no. 5 (May 28, 2021): 81–95. http://dx.doi.org/10.24224/2227-1295-2021-5-81-95.

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The object of the article is a non-descriptive lexeme. Its use is investigated in various semantic-syntactic and communicativepragmatic contexts. The relevance of the work is due to the need for amore holistic description of a number of primitive linguistic units (a, and, either, or, etc.), the categorical properties of which are not fully and systematically identified within the framework of traditional methods of analysis. The novelty of the work lies in the consideration of all uses within the framework of the functioning of the lexeme-particular of the same name. This approach is due to the principles of nonparadigmatic linguistics — a modern trend in the study of primitive lexemes. The theoretical significance of the work lies in the introduction into scientific circulation of the principles of the analysis of a particular li based on its ancient categorical properties associated with the semantics of conjecture. It has been established that in all the considered contexts we are dealing with the same particular lexeme, which retains its original categorical properties in them. They are manifested in the questioningness of li (direct or indirect), as well as in various hypothetical meanings that are realized in sentences-statements at a deep syntactic level. Asimilar description technique is applicable to the analysis of the properties of other particular units of the Russian language.

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Journal articles on the topic 'Syntactic-semantic analysis'

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