Utilizing Features of Verbs in Statistical Zero Pronoun Resolution for Japanese Speech

PACLIC 23 / City University of Hong Kong / 3-5 December 200

Anaphora resolution for Arabic machine translation :a case study of nafs

PhD ThesisIn the age of the internet, email, and social media there is an increasing need for processing online information, for example, to support education and business. This has led to the rapid development of natural language processing technologies such as computational linguistics, information retrieval, and data mining. As a branch of computational linguistics, anaphora resolution has attracted much interest. This is reflected in the large number of papers on the topic published in journals such as Computational Linguistics. Mitkov (2002) and Ji et al. (2005) have argued that the overall quality of anaphora resolution systems remains low, despite practical advances in the area, and that major challenges include dealing with real-world knowledge and accurate parsing. This thesis investigates the following research question: can an algorithm be found for the resolution of the anaphor nafs in Arabic text which is accurate to at least 90%, scales linearly with text size, and requires a minimum of knowledge resources? A resolution algorithm intended to satisfy these criteria is proposed. Testing on a corpus of contemporary Arabic shows that it does indeed satisfy the criteria.Egyptian Government

A Survey on Semantic Processing Techniques

Semantic processing is a fundamental research domain in computational linguistics. In the era of powerful pre-trained language models and large language models, the advancement of research in this domain appears to be decelerating. However, the study of semantics is multi-dimensional in linguistics. The research depth and breadth of computational semantic processing can be largely improved with new technologies. In this survey, we analyzed five semantic processing tasks, e.g., word sense disambiguation, anaphora resolution, named entity recognition, concept extraction, and subjectivity detection. We study relevant theoretical research in these fields, advanced methods, and downstream applications. We connect the surveyed tasks with downstream applications because this may inspire future scholars to fuse these low-level semantic processing tasks with high-level natural language processing tasks. The review of theoretical research may also inspire new tasks and technologies in the semantic processing domain. Finally, we compare the different semantic processing techniques and summarize their technical trends, application trends, and future directions.Comment: Published at Information Fusion, Volume 101, 2024, 101988, ISSN 1566-2535. The equal contribution mark is missed in the published version due to the publication policies. Please contact Prof. Erik Cambria for detail

Linguistic Structure in Statistical Machine Translation

This thesis investigates the influence of linguistic structure in statistical machine translation. We develop a word reordering model based on syntactic parse trees and address the issues of pronouns and morphological agreement with a source discriminative word lexicon predicting the translation for individual words using structural features. When used in phrase-based machine translation, the models improve the translation for language pairs with different word order and morphological variation

The Processing of Emotional Sentences by Young and Older Adults: A Visual World Eye-movement Study

Carminati MN, Knoeferle P. The Processing of Emotional Sentences by Young and Older Adults: A Visual World Eye-movement Study. Presented at the Architectures and Mechanisms of Language and Processing (AMLaP), Riva del Garda, Italy

Formal linguistics approaches to adult second language acquisition and processing

This chapter provides an overview of the major contemporary trends driving adult, non-native language acquisition and processing research from a formal linguistic theory perspective. In doing so, we contextualize for the reader what formal linguistics is, inclusive of the main tenets of generative grammar. We provide an overview of the formative questions of generative second language acquisition (GenSLA), focusing on how they have been recast/refocused over time in accord with: (a) the evolution of formal linguistic theory, (b) insights from GenSLA’s own research over three decades and other paradigms of SLA, as well as (c) the expansion of empirical testing methods to include psycholinguistic and neurolinguistic processing measures. All of the aforementioned is done with the backdrop of adult language learning in mind; that is, what do formal linguistic studies on adult non-native language acquisition and processing contribute to our understanding of how L2ers typically learn/process language

Formal Linguistic Approaches to Adult Second Language (L2) Acquisition and Processing

The relative conformity with which (typically developing) children attain adult grammatical competence—ultimate attainment—and the similarity in developmental paths along which they progress is remarkable (e.g., Ambridge & Lieven, 2011; Clark, 2003; Guasti, 2002; Synder, 2007). This achievement is, however, so ubiquitous and mundane that we seldom marvel at it. Of course, monolingual adult grammars may also differ from one another, especially for some domains of grammar (e.g., Dąbrowska, 1997, 2012), but such variability pales in comparison to the variation in adult non-native second language (L2) grammars. Indeed, the path and outcomes of L2 acquisition can be highly variable from one individual to another, even under seemingly comparable contexts. Individual and group-level factors in adulthood that either do not apply or apply with much less consequence in young childhood conspire to explain at least some of the gamut of L2 variability