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Numeral Classifiers in Chinese
This book studies the syntax and semantics of numeral classifiers in Mandarin and other Chinese languages. It explores how Chinese classifiers are semantically interpreted in syntactic contexts and how semantic functions of classifiers are realized at the syntactic level. The book is a contribution to formal Chinese linguistics, and to the understanding of grammatical properties of nominal phrases in Chinese and East Asian languages.
eBook
Adapting Feature Selection Algorithms for the Classification of Chinese Texts
Text classification has been highlighted as the key process to organize online texts for better communication in the Digital Media Age. Text classification establishes classification rules based on text features, so the accuracy of feature selection is the basis of text classification. Facing fast-increasing Chinese electronic documents in the digital environment, scholars have accumulated quite a few algorithms for the feature selection for the automatic classification of Chinese texts in recent years. However, discussion about how to adapt existing feature selection algorithms for various types of Chinese texts is still inadequate. To address this, this study proposes three improved feature selection algorithms and tests their performance on different types of Chinese texts. These include an enhanced CHI square with mutual information (MI) algorithm, which simultaneously introduces word frequency and term adjustment (CHMI); a term frequency–CHI square (TF–CHI) algorithm, which enhances weight calculation; and a term frequency–inverse document frequency (TF–IDF) algorithm enhanced with the extreme gradient boosting (XGBoost) algorithm, which improves the algorithm’s ability of word filtering (TF–XGBoost). This study randomly chooses 3000 texts from six different categories of the Sogou news corpus to obtain the confusion matrix and evaluate the performance of the new algorithms with precision and the F1-score. Experimental comparisons are conducted on support vector machine (SVM) and naive Bayes (NB) classifiers. The experimental results demonstrate that the feature selection algorithms proposed in this paper improve performance across various news corpora, although the best feature selection schemes for each type of corpus are different. Further studies of the application of the improved feature selection methods in other languages and the improvement in classifiers are suggested.
Journal Article
More than a piece of cake: Noun classifier processing in primary progressive aphasia
INTRODUCTION Clinical understanding of primary progressive aphasia (PPA) has been primarily derived from Indo‐European languages. Generalizing certain linguistic findings across languages is unfitting due to contrasting linguistic structures. While PPA patients showed noun classes impairments, Chinese languages lack noun classes. Instead, Chinese languages are classifier language, and how PPA patients manipulate classifiers is unknown. METHODS We included 74 native Chinese speakers (22 controls, 52 PPA). For classifier production task, participants were asked to produce the classifiers of high‐frequency items. In a classifier recognition task, participants were asked to choose the correct classifier. RESULTS Both semantic variant (sv) PPA and logopenic variant (lv) PPA scored significantly lower in classifier production task. In classifier recognition task, lvPPA patients outperformed svPPA patients. The classifier production scores were correlated to cortical volume over left temporal and visual association cortices. DISCUSSION This study highlights noun classifiers as linguistic markers to discriminate PPA syndromes in Chinese speakers. Highlights Noun classifier processing varies in the different primary progressive aphasia (PPA) variants. Specifically, semantic variant PPA (svPPA) and logopenic variant PPA (lvPPA) patients showed significantly lower ability in producing specific classifiers. Compared to lvPPA, svPPA patients were less able to choose the accurate classifiers when presented with choices. In svPPA, classifier production score was positively correlated with gray matter volume over bilateral temporal and left visual association cortices in svPPA. Conversely, classifier production performance was correlated with volumetric changes over left ventral temporal and bilateral frontal regions in lvPPA. Comparable performance of mass and count classifier were noted in Chinese PPA patients, suggesting a common cognitive process between mass and count classifiers in Chinese languages.
Journal Article
Classifier Structures in Mandarin Chinese
This monograph addresses fundamental syntactic issues of classifier constructions, based on a thorough study of a typical classifier language, Mandarin Chinese. It shows that the contrast between count and mass is not binary. Instead, there are two independently attested features: Numerability, the ability of a noun to combine with a numeral directly, and Delimitability, the ability of a noun to be modified by a delimitive modifier, such as size, shape, or boundary modifier. Although all nouns in Chinese are non-count nouns, there is still a mass/non-mass contrast, with mass nouns selected by individuating classifiers and non-mass nouns selected by individual classifiers. Some languages have the counterparts of Chinese individuating classifiers only, some languages have the counterparts of Chinese individual classifiers only, and some other languages have no counterpart of either individual or individuating classifiers of Chinese. The book also reports that unit plurality can be expressed by reduplicative classifiers in the language. Moreover, for the constituency of a numeral expression, an individual, individuating, or kind classifier combines with the noun first and then the numeral is integrated; but a partitive or collective classifier, like a measure word, combines with the numeral first, before the noun is integrated into the whole nominal structure. Furthermore, the book identifies the syntactic positions of various uses of classifiers in the language. A classifier is at a functional head position that has a dependency with a numeral, or a position that has a dependency with a generic or existential quantifier, or a position that represents the singular-plural contrast, or a position that licenses a delimitive modifier when the classifier occurs in a compound.
eBook
A cross-cultural study of language and cognition: Numeral classifiers and solid object categorization
One of the central issues in cognition is identifying universal and culturally specific patterns of thought. In this study, we examined how one aspect of culture, a linguistic part of speech known asclassifiers, are related to categorization of solid objects. In Experiment 1, we used a numeral classifier elicitation task to examine the classifiers used by speakers of Hmong, Japanese, and Mandarin Chinese (N = 34) with 135 nouns that referred to solid objects. In Experiment 2, adult speakers of English, Japanese, Mandarin Chinese, and Hmong (N = 64) rated the similarity of 39 pictured objects that depicted a subset of the nouns. All groups classified the objects into
natural kinds and artifacts,
with the category of
humans
anchoring both divisions. The main difference that emerged from the study was that speakers of Japanese and English rated
humans
and
animals
as more similar to each other than Hmong speakers; Mandarin speakers’ ratings of the similarity between
humans
and
animals
fell in between those of Hmong and English speakers. However, the pattern of categorization of
humans
and
animals
found among speakers of the classifier languages contradicted their patterns of classifier use. The findings help to tease apart the effects of language from other cultural factors that impact cognition.
Journal Article
The Interactions Between the Effects of Implicit and Explicit Feedback and Individual Differences in Language Analytic Ability and Working Memory
This study investigated the interactions between two types of feedback (implicit vs. explicit) and two aptitude components (language analytic ability and working memory) in second language Chinese learning. Seventy-eight L2 Chinese learners from two large U.S. universities were assigned to three dyadic NS-NNS interaction conditions and received implicit (recasts), explicit (metalinguistic correction), or no feedback (control) in response to their non-target-like oral production of Chinese classifiers. The treatment effects were measured by a grammaticality judgment test and an elicited imitation test. The Words in Sentences subtest of the MLAT was used to measure language analytic ability; a listening span test was utilized as the measure of working memory. A principal components analysis and a structural equation modeling analysis established that working memory was an aptitude component. Multiple regression analyses showed that language analytic ability was predictive of the effects of implicit feedback, and working memory mediated the effects of explicit feedback; all the statistically significant results involved delayed posttest scores. Interpretations were sought with recourse to the mechanisms of the cognitive constructs and the processing demands imposed by the different learning conditions. (Verlag).
Journal Article
The Contrastive and Referential Function of Specific Classifiers in Xiamen Southern Min—Evidence from a Cognitive Experimental Study
Southern Min is generally known for not using classifiers [CL] for expressing definiteness/indefiniteness as it is associated with the bare classifier construction [CL N]. This paper offers evidence from Xiamen Southern Min (XSM) that the use of a specific classifier vs. the general classifier é contributes to referentiality in an alternative way by supporting object identification as it is due to the semantic specificity present in specific classifiers and absent in the general classifier. In a dialogic cognitive experiment adapted from the “Hidden color-chips” task (Enfield and Bohnemeyer 2001), 18 participants had to manipulate their addressees’ attention toward various objects situated in their immediate physical space through language as well as deictic gestures. The objects were associated with different specific classifiers or with the general classifier, and they were arranged according to the factors of (a) distance from speaker, (b) visibility for speaker, and (c) uniqueness (adjacency of similar items). The results show, among other things, that there is a higher tendency to use the specific CL in the [demonstrative CL N] construction if adjacent similar objects [−unique] are too far away from the speaker for clear identification by a demonstrative or a pointing gesture. This is seen as a last-resort strategy for creating contrast. Further corroboration comes from the use of specific classifiers in later mentions after the general CL failed to achieve clear identification. These findings can be situated in the broader context of other languages with classifiers in contrastive function (Thai, Vietnamese, and Ponapean) and they show the relevance of using dialogic texts for modeling classifier selection in contrast to narrative texts. Finally, dialogic contexts may serve as bridging contexts for grammaticalization from numeral classifiers to definiteness markers.
Journal Article
The effects of L1, task, and classifier type in Chinese-L2 learners’ use of classifiers
This study explores three potential factors that influence Chinese L2 learners’ classifier use in a classroom setting: L1 background, task, and classifier type. We developed a picture-prompted test, including composition, free cloze, and multiple-choice cloze questions to elicit the use of classifiers. Participants were 50 Chinese L2 learners from Arabic, English, and Japanese L1 backgrounds. Although Japanese L1 participants performed numerically better than their Arabic and English counterparts, statistical analysis suggests that L1 was not a significant predictor of test performance. The composition task was shown to be conducive to the use of test-taking strategies, and it revealed a higher classifier accuracy than the more constrained multiple-choice task. Meanwhile, there was an interaction between L1 and task, suggesting that L1 influence may be conditioned by task type. Moreover, our logistic model predicts different levels of accuracy for classifier use by type, which potentially suggests a developmental path of acquiring classifiers licensed by the most prominent noun feature they are associated with, with shape being the earliest, followed by animate, inanimate, and concept.
Journal Article