Linguistics Vanguard最新文献

(R)NNs too expressive?: No relationship between neural architectures' theoretical expressivity and their empirical performance. (R)神经网络过于表达？神经结构的理论表达能力与其经验表现之间没有关系。

IF 0.8 2区文学

Linguistics Vanguard Pub Date : 2026-03-09 eCollection Date: 2026-05-01 DOI: 10.1515/lingvan-2024-0218

Jane Li, Alan Zhou

引用次数: 0

Semantic granularity in derivation. 派生中的语义粒度。

IF 0.8 2区文学

Linguistics Vanguard Pub Date : 2025-12-02 eCollection Date: 2025-12-01 DOI: 10.1515/lingvan-2024-0186

Richard Huyghe, Rossella Varvara

{"title":"Semantic granularity in derivation.","authors":"Richard Huyghe, Rossella Varvara","doi":"10.1515/lingvan-2024-0186","DOIUrl":"10.1515/lingvan-2024-0186","url":null,"abstract":"This paper investigates the degree of semantic precision in derivational processes, a crucial yet underexplored aspect of word-formation semantics that influences our understanding of compositionality, competition, and polysemy in derivation. The study focuses on the case of verb-to-noun derivation in French, using both manual analysis and computational techniques to determine the level of semantic granularity that best captures the semantic properties of derivational processes. A sample of 2,190 derived nouns formed with 30 deverbal processes is manually analyzed, distinguishing between ontological and relational semantic types, with three levels of granularity applied to each. The various combinations of semantic types and granularities are tested against computational representations of derivational processes generated from distributional semantic models. The results indicate that not only relational but also ontological types participate in the semantics of derivational processes, and that derivation operates at a fine level of semantic granularity. More broadly, the study illustrates how expert analysis of large datasets can be fruitfully associated with computational methods to address key research questions in theoretical linguistics. It also advocates for a close integration of lexical semantics and derivational morphology in the study of complex words.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"11 1","pages":"73-85"},"PeriodicalIF":0.8,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12767681/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145913882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model. 越深越好吗？判别词典模型中用深度学习网络替换线性映射。

IF 0.8 2区文学

Linguistics Vanguard Pub Date : 2025-11-13 eCollection Date: 2026-05-01 DOI: 10.1515/lingvan-2024-0192

Maria Heitmeier, Valeria Schmidt, Hendrik P A Lensch, R Harald Baayen

{"title":"Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model.","authors":"Maria Heitmeier, Valeria Schmidt, Hendrik P A Lensch, R Harald Baayen","doi":"10.1515/lingvan-2024-0192","DOIUrl":"10.1515/lingvan-2024-0192","url":null,"abstract":"Recently, deep learning models have increasingly been used in cognitive modelling of language. This study asks whether deep learning can help us to better understand the learning problem that needs to be solved by speakers, above and beyond linear methods. We utilize the Discriminative Lexicon Model introduced by Baayen and colleagues, which models comprehension and production with mappings between numeric form and meaning vectors. While so far, these mappings have been linear (linear discriminative learning; LDL), in the present study we replace them with deep dense neural networks (deep discriminative learning; DDL). We find that DDL affords more accurate mappings for large and diverse datasets from English and Dutch, but not necessarily for Estonian and Taiwan Mandarin. DDL outperforms LDL in particular for words with pseudo-morphological structure such as chol + er. Applied to average reaction times, we find that DDL is outperformed by frequency-informed linear mappings (FIL). However, DDL trained in a frequency-informed way (\"frequency-informed\" deep learning; FIDDL) substantially outperforms FIL. Finally, while linear mappings can very effectively be updated from trial-to-trial to model incremental lexical learning, deep mappings cannot do so as effectively. At present, both linear and deep mappings are informative for understanding language.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"12 Suppl1","pages":"11-25"},"PeriodicalIF":0.8,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13393313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148581339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Instance memory models as a general computational framework for exploring language processing: bringing the lexicon to life. 实例内存模型作为探索语言处理的通用计算框架：将词典带入生活。

IF 0.8 2区文学

Linguistics Vanguard Pub Date : 2025-08-29 eCollection Date: 2026-05-01 DOI: 10.1515/lingvan-2024-0201

Brendan T Johns, Randall K Jamieson, Matthew J C Crump, Michael N Jones

{"title":"Instance memory models as a general computational framework for exploring language processing: bringing the lexicon to life.","authors":"Brendan T Johns, Randall K Jamieson, Matthew J C Crump, Michael N Jones","doi":"10.1515/lingvan-2024-0201","DOIUrl":"10.1515/lingvan-2024-0201","url":null,"abstract":"Instance models have been successfully applied to a range of problems including memory, language, attention, learning, action, decision-making, and categorization. According to instance theory, the individual experience constitutes the fundamental unit of knowledge and knowledge of the general emerges during parallel retrieval from memory. Until recently, applications of instance theory to the problem of language were constrained to small and contrived laboratory experiments. However, recent advances in large-scale computational modeling have allowed the approach to be applied at scale to the large and complicated problem of natural language. With those demonstrations now in hand, we argue that the framework can present an articulate mechanistic underbelly to usage-based theories of language that highlights the role of specific language experience in general language behavior. Overall, this article argues that instance memory models provide an opportunity to gain insight into and deepen our understanding of language as a dynamic and contextually embedded process, serving to bridge the gap between cognitive psychology and the language sciences.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"12 Suppl1","pages":"163-172"},"PeriodicalIF":0.8,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13393314/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148581318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gender effects in Mandarin creaky voice evaluation: a matched-guise study 普通话沙哑声评价中的性别影响：一项配对伪装研究

2区文学

Linguistics Vanguard Pub Date : 2025-08-11 DOI: 10.1515/lingvan-2024-0237

Aini Li, Wei Lai

{"title":"Gender effects in Mandarin creaky voice evaluation: a matched-guise study","authors":"Aini Li, Wei Lai","doi":"10.1515/lingvan-2024-0237","DOIUrl":"https://doi.org/10.1515/lingvan-2024-0237","url":null,"abstract":"Abstract This study investigates how Mandarin listeners evaluate creaky voice across different gendered voices using a matched-guise design. In contrast to findings in American English, where female creak is often evaluated negatively, Mandarin listeners did not display different evaluations of creaky voice based on speaker gender. Personality traits associated with creaky voice, such as attractiveness, competence, likeability, intelligence, and wealth, did not show systematic gender effects in Mandarin, and these dimensions were found to be highly correlated through principal component analysis. These results suggest that the gender bias against creaky female voices observed in American English does not generalize to Mandarin, offering a potential explanation for previously reported crosslinguistic differences in creak identification between American English and Mandarin Chinese. The absence of gender-based social bias in Mandarin may account for listeners’ more phonetically driven identification of creak, making creak more identifiable in low-pitched male voices rather than high-pitched female voices. Taken together, the findings underscore the importance of incorporating social evaluation into speech perception studies and call for further social evaluation studies of creaky voice across various social dimensions and in crosslinguistic contexts.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"11 1","pages":"375-383"},"PeriodicalIF":0.0,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147897499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recurring patterns in tone (chain) shift. 音调（链）变化中反复出现的模式。

IF 1.1 2区文学

Linguistics Vanguard Pub Date : 2025-05-22 eCollection Date: 2025-12-01 DOI: 10.1515/lingvan-2024-0028

Cathryn Yang, Pittayawat Pittayaporn, James Kirby

引用次数: 0

Using ATLAS.ti for constructing and analysing multimodal social media corpora 使用阿特拉斯。构建和分析多模态社交媒体语料库

2区文学

Linguistics Vanguard Pub Date : 2025-04-09 DOI: 10.1515/lingvan-2024-0200

Sha Ye, Beth Malory

{"title":"Using ATLAS.ti for constructing and analysing multimodal social media corpora","authors":"Sha Ye, Beth Malory","doi":"10.1515/lingvan-2024-0200","DOIUrl":"https://doi.org/10.1515/lingvan-2024-0200","url":null,"abstract":"Abstract Methods to enable comprehensive corpus analyses of multimodal data are imperative to furthering our understanding of social media and digital communication. In this study, we demonstrate how ATLAS.ti (version 24.2.0) can be used to construct such corpora and conduct corpus-assisted multimodal discourse analysis (CAMDA). The focus for such studies may be the exploration of complex patterns of co-occurrence, both intra- and inter-mode, or iterative corpus queries, especially when unexpected patterns move the research focus beyond initial research questions. In such cases, ATLAS.ti’s functionalities facilitate a triangulation of automatic pattern recognition and in-depth manual analysis. It supports a flexible, user-defined approach to the multimodal analysis of short-form social media datasets, overcoming traditional limitations such as analyses being restricted to emojis or preset thematic dimensions in current AI software. In this way, the proposed methodology enables in-depth CAMDA, as illustrated in the case study presented in this paper, which analyses the co-occurrences of evaluations and visual representations of social actors.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"11 1","pages":"511-523"},"PeriodicalIF":0.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.degruyterbrill.com/document/doi/10.1515/lingvan-2024-0200/pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147917410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

From sociolinguistic perception to strategic action in the study of social meaning. 从社会语言学感知到社会意义研究中的策略行动。

IF 1.1 2区文学

Linguistics Vanguard Pub Date : 2024-12-17 eCollection Date: 2024-12-01 DOI: 10.1515/lingvan-2023-0183

Gabriel Thiberge, Heather Burnett

引用次数: 0

Sign recognition: the effect of parameters and features in sign mispronunciations. 符号识别：参数和特征在符号误读中的作用。

IF 1.1 2区文学

Linguistics Vanguard Pub Date : 2024-11-25 eCollection Date: 2024-12-01 DOI: 10.1515/lingvan-2024-0070

Carlo Geraci, Lena Pasalskaya, Sharon Peperkamp

引用次数: 0

The use of the narrative final vowel -á by the Lingala-speaking youth of Kinshasa: from anterior to near/recent past 金沙萨林加拉语青年使用叙事性末元音-á的情况：从过去到近/现代