The structure of online social networks modulates the rate of lexical change (2021.naacl-main)
Copied to clipboard
| Challenge: | lexical change is a prevalent process, as new words are added, thrive, and decline in day-to-day usage. |
| Approach: | They conduct a large-scale analysis of over 80k neologisms in 4420 online communities over a decade and found that the community’s network structure plays a significant role in lexical change. |
| Outcome: | The results show that the community’s network structure plays a significant role in lexical change. |
Similar Papers
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities (C18-1)
Copied to clipboard
| Challenge: | a longitudinal study of online social networks investigates the birth and spread of lexical innovations. |
| Approach: | They investigate the birth and diffusion of lexical innovations in online communities . they build on sociolinguistic theories and focus on the relationship between the spread of a new term and the social role of the individuals who use it . |
| Outcome: | The proposed method predicts whether an innovation will succeed in a community. |
Making “fetch” happen: The influence of social and linguistic context on nonstandard word growth and decline (D18-1)
Copied to clipboard
| Challenge: | In an online community, new words come and go, but language change is shaped and constrained by the grammatical system in which it takes part. |
| Approach: | They analysed the frequency of non-standard words in reddit to determine their impact on language change. |
| Outcome: | The results show that language change is shaped and constrained by the grammatical system in which it takes place. |
Quantifying Cognitive Factors in Lexical Decline (2021.tacl-1)
Copied to clipboard
| Challenge: | Existing studies on lexical decline suggest that cognitive and linguistic factors play a role in the survival of words and their success in the linguistic ecosystem. |
| Approach: | They propose a variety of psycholinguistic factors that are predictive of lexical decline, in which words greatly decrease in frequency over time. |
| Outcome: | The proposed factors show significant differences in the expected direction between each curated set of declining words and their matched stable words. |
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications (2024.acl-long)
Copied to clipboard
| Challenge: | Historical linguists have identified multiple forms of lexical semantic change. |
| Approach: | They propose a framework for integrating and evaluating lexical semantic changes in historical linguists and a unified computational methodology for evaluating them concurrently. |
| Outcome: | The proposed framework enables lexical semantic change to be mapped economically and systematically and has applications in computational social science. |
Characterizing English Variation across Social Media Communities with BERT (2021.tacl-1)
Copied to clipboard
| Challenge: | Existing studies characterizing language variation across Internet social groups have focused on the types of words used by these groups. |
| Approach: | They extend this study by employing BERT to characterize variation in the senses of words as well, analyzing two months of English comments in 474 Reddit communities. |
| Outcome: | The proposed study analyzes two months of English comments in 474 Reddit communities and ties language variation with community behavior. |
Agent-based Modeling of Language Change in a Small-world Network (2024.lrec-main)
Copied to clipboard
| Challenge: | linguists have been studying how external aspects of the linguistic system impact the grammatical system of a language. |
| Approach: | They propose to use agent-based modeling and simulation to study language change in a speech community using Zachary’s karate club network. |
| Outcome: | The proposed model shows that the centrality of each agent in the network, interpreted as social prestige, appears to be a factor influencing change. |
Analysing Lexical Semantic Change with Contextualised Word Representations (2020.acl-main)
Copied to clipboard
| Challenge: | Existing studies on lexical semantic change have focused on detecting and characterising word meaning shifts using distributional semantic models. |
| Approach: | They propose a method that exploits the BERT neural language model to obtain representations of word usages, clusters these representations into usage types, and measures change along time with three proposed metrics. |
| Outcome: | The proposed method captures a variety of synchronic and diachronic linguistic phenomena and is highly reproducible and reproducible. |
Measuring and Modeling Language Change (N19-5)
Copied to clipboard
| Challenge: | This tutorial will help researchers answer questions fundamental to the social sciences and humanities . |
| Approach: | This tutorial is designed to help researchers answer questions in the social sciences and humanities . it synthesizes recent computational techniques for handling and modeling temporal data . |
| Outcome: | The tutorial will synthesize recent techniques for handling and modeling temporal data, such as dynamic word embeddings, and identify useful tools for social scientists and digital humanities scholars. |
Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection (2021.eacl-main)
Copied to clipboard
| Challenge: | Lexical semantic change detection is a new and innovative research field. |
| Approach: | They propose to pre-train on large corpora and refine on diachronic target corpors to improve performance. |
| Outcome: | The proposed models improve on large corpora and diachronic target corpors . the proposed models are compared with existing models in a variety of learning scenarios . |
A Survey on Automatically-Constructed WordNets and their Evaluation: Lexical and Word Embedding-based Approaches (L18-1)
Copied to clipboard
| Challenge: | WordNets are lexical databases in which groups of synonyms are stored according to the semantic relationships between them. |
| Approach: | This paper describes various approaches to constructing WordNets automatically by leveraging traditional lexical resources and newer trends such as word embeddings. |
| Outcome: | The proposed methods leverage traditional lexical resources and newer trends such as word embeddings to build and evaluate WordNets. |