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Ruseti, Stefan; Dascalu, Maria-Dorinela; Corlatescu, Dragos-Georgian; Dascalu, Mihai; Trausan-Matu, Stefan; McNamara, Danielle S. – Grantee Submission, 2021
Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be…
Descriptors: Dialogs (Language), Computational Linguistics, Semantics, Models
Misato Hiraga – ProQuest LLC, 2024
This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…
Descriptors: Japanese, Computational Linguistics, Form Classes (Languages), Error Analysis (Language)
Natasha Vernooij – ProQuest LLC, 2024
This dissertation investigates how bilinguals use their two grammars to comprehend written intra-sentential codeswitches. I focus on adjective/noun constructions in Spanish and English where I manipulate the congruence of grammatical word order in the two languages across the codeswitch boundary. This allows me to test three codeswitching…
Descriptors: Spanish, English (Second Language), Second Language Learning, Native Language
Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
Rosario, Ryan Robert – ProQuest LLC, 2017
Text classification typically performs best with large training sets, but short texts are very common on the World Wide Web. Can we use resampling and data augmentation to construct larger texts using similar terms? Several current methods exist for working with short text that rely on using external data and contexts, or workarounds. Our focus is…
Descriptors: Classification, Models, Semantics, Electronic Publishing
Farrow, Elaine; Moore, Johanna D.; Gaševic, Dragan – Journal of Learning Analytics, 2022
By participating in asynchronous course discussion forums, students can work together to refine their ideas and construct knowledge collaboratively. Typically, some messages simply repeat or paraphrase course content, while others bring in new material, demonstrate reasoning, integrate concepts, and develop solutions. Through the messages they…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Learning Analytics
Lifeng Jin – ProQuest LLC, 2020
Syntactic structures are unobserved theoretical constructs which are useful in explaining a wide range of linguistic and psychological phenomena. Language acquisition studies how such latent structures are acquired by human learners through many hypothesized learning mechanisms and apparatuses, which can be genetically endowed or of general…
Descriptors: Syntax, Computational Linguistics, Learning Processes, Models
Liu, Jun; Shindo, Hiroyuki; Matsumoto, Yuji – Educational Technology Research and Development, 2019
Because a large number of Chinese characters are commonly used in both Japanese and Chinese, Chinese-speaking learners of Japanese as a second language (JSL) find it more challenging to learn Japanese functional expressions than to learn other Japanese vocabulary. To address this challenge, we have developed "Jastudy," a…
Descriptors: Chinese, Native Language, Japanese, Second Language Learning
Reali, Florencia – Language Learning, 2014
The processing difficulty of nested grammatical structure has been explained by different psycholinguistic theories. Here I provide corpus and behavioral evidence in favor of usage-based models, focusing on the case of object relative clauses in Spanish as a first language. A corpus analysis of spoken Spanish reveals that, as in English, the…
Descriptors: Language Processing, Grammar, Psycholinguistics, Linguistic Theory
Kush, Dave W. – ProQuest LLC, 2013
This dissertation uses the processing of anaphoric relations to probe how linguistic information is encoded in and retrieved from memory during real-time sentence comprehension. More specifically, the dissertation attempts to resolve a tension between the demands of a linguistic processor implemented in a general-purpose cognitive architecture and…
Descriptors: Memory, Language Processing, Models, Cues
Li, Dingcheng – ProQuest LLC, 2011
Coreference resolution (CR) and entity relation detection (ERD) aim at finding predefined relations between pairs of entities in text. CR focuses on resolving identity relations while ERD focuses on detecting non-identity relations. Both CR and ERD are important as they can potentially improve other natural language processing (NLP) related tasks…
Descriptors: Information Retrieval, Form Classes (Languages), Computation, Natural Language Processing
Herring, Jon Russell; Deuchar, Margaret; Couto, M. Carmen Parafita; Quintanilla, Monica Moro – International Journal of Bilingual Education and Bilingualism, 2010
Previous work on intrasentential codeswitching has noted that switches between determiners and their noun complements are frequent in both Spanish-English and Welsh-English data. Two major recent theories of codeswitching, the Matrix Language Frame model and a Minimalist Program approach, make potentially competing predictions regarding the source…
Descriptors: Nouns, Prediction, Code Switching (Language), Spanish
Gamon, Michael; Leacock, Claudia; Brockett, Chris; Dolan, William B.; Gao, Jianfeng; Belenko, Dmitriy; Klementiev, Alexandre – CALICO Journal, 2009
In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…
Descriptors: English (Second Language), Error Correction, Second Language Learning, Computer Assisted Instruction

Sentance, Sue – Computer Assisted Language Learning, 1997
Describes the development of a domain model for English article usage which has been implemented within an Intelligent Language Tutoring System. Notes that in order to develop a domain model of a language or an aspect of a language, it is necessary to formalize the native speaker's knowledge in a way that is representationally adequate and…
Descriptors: Computational Linguistics, Computer Assisted Instruction, English (Second Language), Form Classes (Languages)
Hudabiunigg, Ingrid – Journal of Multilingual and Multicultural Development, 2004
This paper analyses an extensive corpus of texts from the German media and existing studies of German perspectives on Poland, Russia, the Czech Republic and Slovenia in order to demonstrate that there are two idealised culture cognitive models (ICCMs) that function as overarching categories for Europe: the ICCM west (the members of the European…
Descriptors: Nouns, Foreign Countries, German, Schemata (Cognition)