Constructing two vietnamese corpora and building a lexical database

Pham, Hien; Tucker, Benjamin V.; Baayen, R. Harald

doi:10.1007/s10579-019-09451-x

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…Although the number of participants is small -four participants -this is offset by the large amount of data contributed by each of the participants. Pham and colleagues (Pham and Baayen, 2015;Pham et al, 2019;Pham, 2014) conducted a large-scale singleparticipant study for Vietnamese and demonstrated the validity of the results by comparing them to the results of a regular multi-participant study. This suggests that our large-scale eye-tracking data from four participants should also have similar validity to results from regular multi-participant studies.…”

Section: Methodsmentioning

confidence: 99%

The Opposition of Surprisal and Semantic Similarity in the Prediction of Language Processing: Evidence from Eye-tracking Data

Sun¹,

Js²

2020

Preprint

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Expectations or predictions about upcoming content play an important role during language comprehension and processing. One important aspect of recent studies of language comprehension and processing concerns the estimation of the upcoming words in a sentence or discourse. Many studies have used eye-tracking data to explore computational and cognitive models for contextual word predictions and word processing. Eye-tracking data has previously been widely explored with a view to investigating the factors that influence word prediction. However, these studies are problematic on several levels, including the stimuli, corpora, statistical tools they applied. Although various computational models have been proposed for simulating contextual word predictions, past studies usually preferred to use a single computational model. The disadvantage of this is that it often cannot give an adequate account of cognitive processing in language comprehension. To avoid these problems, this study draws upon a massive natural and coherent discourse as stimuli in collecting the data on reading time. This study trains two state-of-art computational models (surprisal and semantic (dis)similarity from word vectors by linear discriminative learning (LDL)), measuring knowledge of both the syntagmatic and paradigmatic structure of language. We develop a `dynamic approach' to compute semantic (dis)similarity. It is the first time that these two computational models have been merged. Models are evaluated using advanced statistical methods. Meanwhile, in order to test the efficiency of our approach, one recently developed cosine method of computing semantic (dis)similarity based on word vectors data adopted is used to compare with our `dynamic' approach. The two computational and fixed-effect statistical models can be used to cross-verify the findings, thus ensuring that the result is reliable. All results support that surprisal and semantic similarity are opposed in the prediction of the reading time of words although both can make good predictions. Additionally, our `dynamic' approach performs better than the popular cosine method. The findings of this study are therefore of significance with regard to acquiring a better understanding how humans process words in a real-world context and how they make predictions in language cognition and processing.

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Section: Methodsmentioning

confidence: 99%

The Opposition of Surprisal and Semantic Similarity in the Prediction of Language Processing: Evidence from Eye-tracking Data

Sun¹,

Js²

2020

Preprint

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The SUBTLEX Word Frequency Norms

Brysbaert,

New

2024

Reference Module in Social Sciences

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Conceptual metaphor sport as war in Vietnamese football news

Hanh

Huong

Pham

2022

CogLS

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Stemming from the widespread appearance of war metaphors in Vietnamese sports news, the article conducts the research on the emergence of metaphors related to the source domain of war in Vietnamese sports news. The International Commentary section aims to clarify the relationship between “sport” and “war” in Vietnamese mind maps. This article analyses the conceptual metaphor sport as war underlying the metaphorically used words and expressions in Vietnamese sports news and explains the mapping scheme between source domain and target domain. Based on the experiential correlations and knowledge mapped from source domain to target domain, the article shows typical thinking of the conceptual construction, which is both universal and typical of Vietnamese people thinking, indicating the hierarchy in conceptual thinking. The primary metaphor sport as war, through mapping scheme, the article proves the appearance of derivative metaphors in sports news such as sports competition as a battle between the warring parties; the footballers as military participants; the main footballers in competition are the weapons in the war; tactics in competing in a sports event as tactics in battle; the actions of footballers are the actions of the warring parties; fouls and misconduct are destroying an opponent in battle; coach as battle commander; winning/losing the match as winning/losing the battle. The current study’s findings are the metaphors grouped into categories: battle activities, battle devices, battle results/consequences, battle tactics. The article’s research results may help journalism students in writing skills and use conceptual metaphors in writing news and articles; suggest to sports bulletin editors how to use conceptual metaphors in news and articles to increase attraction for readers and listeners; and make matches more excited, dramatic and attractive.

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Constructing two vietnamese corpora and building a lexical database

Cited by 4 publications

References 35 publications

The Opposition of Surprisal and Semantic Similarity in the Prediction of Language Processing: Evidence from Eye-tracking Data

The Opposition of Surprisal and Semantic Similarity in the Prediction of Language Processing: Evidence from Eye-tracking Data

The SUBTLEX Word Frequency Norms

Conceptual metaphor sport as war in Vietnamese football news

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