Short text understanding through lexical-semantic analysis

2015 ◽  
Author(s):  
Wen Hua ◽  
Zhongyuan Wang ◽  
Haixun Wang ◽  
Kai Zheng ◽  
Xiaofang Zhou
Keyword(s):  
Semantic Analysis ◽  
Short Text ◽  
Lexical Semantic ◽  
Text Understanding

scholarly journals Brain Activation During Reading in Deep Dyslexia: An MEG Study

2000 ◽  
Vol 12 (4) ◽  
pp. 622-634 ◽  
Author(s):  
Matti Laine ◽  
Riitta Salmelin ◽  
Päivi Helenius ◽  
Reijo Marttila
Keyword(s):  
Semantic Processing ◽  
Semantic Analysis ◽  
Right Hemisphere ◽  
Word Reading ◽  
Brain Activity ◽  
Temporal Cortex ◽  
Single Word ◽  
Lexical Semantic ◽  
Deep Dyslexia ◽  
Single Word Reading

Magnetoencephalographic (MEG) changes in cortical activity were studied in a chronic Finnish-speaking deep dyslexic patient during single-word and sentence reading. It has been hypothesized that in deep dyslexia, written word recognition and its lexical-semantic analysis are subserved by the intact right hemisphere. However, in our patient, as well as in most nonimpaired readers, lexical-semantic processing as measured by sentence-final semantic-incongruency detection was related to the left superior-temporal cortex activation. Activations around this same cortical area could be identified in single-word reading as well. Another factor relevant to deep dyslexic reading, the morphological complexity of the presented words, was also studied. The effect of morphology was observed only during the preparation for oral output. By performing repeated recordings 1 year apart, we were able to document significant variability in both the spontaneous activity and the evoked responses in the lesioned left hemisphere even though at the behavioural level, the patient's performance was stable. The observed variability emphasizes the importance of estimating consistency of brain activity both within and between measurements in brain-damaged individuals.

scholarly journals Corpus Based Lexical Semantic Analysis of Minimal Pairs of Deverbal Adjectives with the Spanish '-dor/-nte' Suffixes

10.29007/vmrh ◽  
2018 ◽  
Author(s):  
Ryo Tsutahara
Keyword(s):  
Semantic Analysis ◽  
Lexical Semantic ◽  
Minimal Pairs

This paper shows the semantic differences and similarities between Spanish active deverbal adjectives with the -dor and -nte suffixes. Minimal pairs of derivatives with the suffixes will be quantitatively analyzed, as the patterns of modification are the center of the interest. This study concludes that the derivatives’ modification patterns are parallel with the denotation patterns of nominal derivatives with the same suffixes.

RUSSISMS IN THE MODERN SERBIAN LANGUAGE

2021 ◽  
Vol 4 (103) ◽  
pp. 54-65
Author(s):  
JELENA LEPOJEVIC
Keyword(s):  
Semantic Analysis ◽  
Russian Language ◽  
Point Of View ◽  
Modern Theory ◽  
Literary Language ◽  
Lexical Semantic ◽  
Theory Of Language ◽  
The Russian Language

This paper considers, from the point of view of modern theory of language in contact, words loaned from the Russian language or through the Russian language that are still in active use in the modern Serbian language. The aim of this paper is to determine the corpus of these elements in the dictionaries of the modern Serbian literary language, as well as to conduct a morphological and lexical-semantic analysis of the collected material. Many of these words are not perceived as borrowings by speakers of the Serbian language, but it is a fact that these elements came to the Serbian language from Russian. The author studies the words with the label rus. , identified by the analysis of Serbian language dictionaries. Words of Russian origin that are on the periphery of the lexical fund of the Serbian language, such as archaisms and historicisms, have not been taken into consideration.

scholarly journals A word embedding topic model for topic detection and summary in social networks

2019 ◽  
Vol 52 (9-10) ◽  
pp. 1289-1298 ◽  
Author(s):  
Lei Shi ◽  
Gang Cheng ◽  
Shang-ru Xie ◽  
Gang Xie
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Topic Model ◽  
Word Embedding ◽  
Probabilistic Latent Semantic Analysis ◽  
Topic Detection ◽  
Short Text ◽  
Internal Relationship

The aim of topic detection is to automatically identify the events and hot topics in social networks and continuously track known topics. Applying the traditional methods such as Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis is difficult given the high dimensionality of massive event texts and the short-text sparsity problems of social networks. The problem also exists of unclear topics caused by the sparse distribution of topics. To solve the above challenge, we propose a novel word embedding topic model by combining the topic model and the continuous bag-of-words mode (Cbow) method in word embedding method, named Cbow Topic Model (CTM), for topic detection and summary in social networks. We conduct similar word clustering of the target social network text dataset by introducing the classic Cbow word vectorization method, which can effectively learn the internal relationship between words and reduce the dimensionality of the input texts. We employ the topic model-to-model short text for effectively weakening the sparsity problem of social network texts. To detect and summarize the topic, we propose a topic detection method by leveraging similarity computing for social networks. We collected a Sina microblog dataset to conduct various experiments. The experimental results demonstrate that the CTM method is superior to the existing topic model method.

scholarly journals Lexical polysemy and homonymy in the Middle High German language in light of the problematic of lexical synonymy and lexical-semantic analysis

Litera ◽  
2021 ◽  
pp. 51-62
Author(s):  
Aleksandra Andreevna Fomicheva
Keyword(s):  
Semantic Analysis ◽  
Epic Poetry ◽  
German Language ◽  
Middle High German ◽  
Structural Description ◽  
Lexical Semantic ◽  
Polysemous Word ◽  
Chivalric Romance ◽  
Lexical Polysemy ◽  
Dictionary Definitions

Based on the compositions of pre-courteous epic poetry and chivalric romance written in the Middle High German language, this article reviews the problem of lexical polysemy in relation to the phenomena of homonymy and synonymy, as well as the problem of structural description of lexis. The need for comprehensive examination of polysemous lexemes in the Middle High German language, which includes structural analysis of the meaning of polysemous word and the lexical-thematic group and/or synonymic row it belongs to, well as the study of contextual implementation of the meanings of polysemous word, is substantiated by the principle of diffusivity of meanings of polysemous word that complicates comprising dictionary definitions and creates difficulties for the researcher in distinguishing the meanings of a polysemous word and separating polysemy from homonymy. Based on the example of lexical-thematic group for denomination of edged weapon in the Middle High German Language, the author demonstrates the appropriateness of using lexical-semantic analysis for establishing systemic relations between the analyzed lexemes, as well as postulates the importance of the context in determination of the structure of polysemous word. Discussion of the given examples from the compositions of pre-courteous epic poetry and chivalric romance written in the Middle High German language is accompanied by the author’s clarifications to the dictionary definitions of the lexemes under review. The conclusion is made on feasibility of the authorial approach towards detection of the discrepancies between lexicographic data and use of the lexeme in the texts written in the Middle High German language. The author also believes that this research is valuable from the perspective of lexicographic practice.

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