Articles

This paper presents a study examining the role of classification overlap in second language (L2) vowel perception. Eighteen experienced L1 Mandarin Chinese (MC) listeners completed a classification task on twelve Australian English (AusE) monophthongal vowels. It was found that the AusE vowels were not equally difficult for the MC listeners, …...

In recent years, reviews of various products by purchasers have been posted on websites. By browsing these reviews, company representa- tives intend to collect and analyze opinions from the users' side of the products and use them to improve the products. However, exist- ing analysis methods analyze reviews by divid- …...

Masbatenyo (also called Masbateño or Minasbate; ISO 639-3 identifier msb) refers to the language spoken in the island province of Masbate in Bicol Region, the Philippines. This paper is drawn from an endogenous ethnographic study conducted by the lead author which utilized a 400,000- word corpora from written, actual spoken, …...

Text classification is a typical natural lan- guage processing or computational linguis- tics task with various interesting applica- tions. As the number of users on social media platforms increases, data acceleration promotes emerging studies on Social Media Text Classification (SMTC) or social me- dia text mining on these valuable resources. …...

Preparing question-answer pairs from conver- sation logs (chat logs) is often considered a prerequisite for downstream dialogue tasks such as response generation and response se- lection tasks. In this paper, we study a task called reply-to prediction, which can be used to prepare question-answer pairs. Unlike other works, our data …...

This study explores the affordances of microblogging as a strategy in improving the writing proficiency of students. A total of 125 college freshman students from a state university in the Philippines served as the respondents of the study. Four writing prompts were used for microblogging and personal essay writing. UAM …...

One of the most important factors that sig- nificantly affects the quality of sequence la- beling models is the selection and encod- ing of input features. The complexity and morphological richness of Arabic language is the main reason why most existing Ara- bic Named Entity Recognition (NER) systems rely heavily …...

This paper presents a new human-in-the- loop text classification framework with no labeled data incorporating weak supervision and Bayesian active learning with a seman- tic clustering constraint. Labeling function (LF)-based weak supervision is a promising method to alleviate the huge labeling cost in supervised learning. However, most previ- ous studies …...

Integrating translation memories (TM) into neural machine translation (NMT) has been shown to improve translation quality. We test various schemes to integrate translation sug- gestions into an NMT system without alter- ing its architecture. We retrieve similar sen- tences covering the sentence to translate and examine various annotation schemes as …...

The linguistic documentation of Philippine-tyoe languages and efforts to revitalize them have increased with the...

The growing number of studies in Critical Discourse Analysis, particularly advertisements, highlighted how a particular discourse or group of discourses change or alternate society’s traditions, cultures, values, beliefs, norms, and ideologies. Incorporating the framework of Fairclough (2001) and by adopting the transdisciplinary approach of Critical Discourse Analysis, wherein the theories …...

The grammatical analysis of texts in any written language typically involves a num- ber of basic processing tasks, such as tok- enization, morphological tagging, and de- pendency parsing. State-of-the-art systems can achieve high accuracy on these tasks for languages with large datasets, but yield poor results for languages which have …...

Discussion quality assessment tasks have re- cently attracted significant attention in nat- ural language processing. However, there have been few studies on challenging such tasks, with a focus on synchronous discus- sions. In this study, we annotate quality scores to each discussion in an existing multi-modal multi-party discussion corpus. Furthermore, …...

Attention mechanisms and linear-chain con- ditional random field (CRF) have been ap- plied to constituency parsing, and the achieved results are phenomenal. While self-attention and label attention layers (LAL) have been proven to be state-of-the-arts in English con- stituency parsing for their improvement in the encoding phase, the CRF two-stage …...

Large scale pre-trained language models (PTLMs) such as BERT have been widely used in various natural language process- ing (NLP) tasks, since PTLMs greatly im- prove the downstream task performances by fine-tuning the parameters on the target task datasets. However, in many NLP tasks, such as document classification, the task …...

ive Multi-document Summarization Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta and Mingyu Guo The University of Adelaide, Adelaide, Australia {congbo.ma,wei.e.zhang,hu.wang,a1787223,mingyu.guo}@adelaide.edu.au Abstract Linguistic knowledge plays an important role in assisting models to learn informative rep- resentations that could help guide better nat- ural language generation. In this paper, we …...

In this paper, we focus on the task of machine reading at scale within how-to tip machine reading comprehension (MRC). We propose a method for developing a context dataset using how-to tip websites on the Internet as infor- mation sources. This shows that the proposed method can easily create a …...

This paper aims to differentiate the two modal auxiliary near-synonyms ying-dang ‘should; ought to; shall’ and ying-gai ‘should; ought to’ through investigating their distinctive collexemes of the near-synonym constructions of “ying-dang/ ying-gai + verb”. We employed the distinctive collexeme analysis (Gries and Stefanowitsch, 2004) to find the distinctive verbal collexemes …...

In the Japanese language, particles and auxil- iary verbs in utterances tend to vary depend- ing on the speaker’s gender. Thus, the lin- guistic expressions within the utterance are an important hint in identifying the speaker. This research proposes a method for identi- fying the speaker in novels using linguistic …...

Text classification, which determines the genre of a document based on cues such as the co- occurrence of words and their frequency of occurrence, has been studied in various approaches to date. Conventional text classification methods using graph-structured data express relationships between words and between words and documents in the …...