Articles

Millions of reviews are generated on e- commerce platforms and analyzing them deeply brings a lot of useful information for sellers and buyers. This paper deals with the aspect-based sentiment analysis problem to an- alyze the aspect and polarity of Vietnamese reviews about beauty products on e-commerce websites. The contribution …...

In this paper, we propose a method of min- ing tweets that represent reviews on celebrities by the machine reading comprehension model based on BERT. The purpose of this paper is to collect and aggregate reviews on tweets for celebrities in order to support the activi- ties of fans of …...

This paper presents a heterogeneous graph neural network (HeterGNN) model for extrac- tive text summarization (ETS) by using latent topics to capture the important content of in- put documents. Specifically, topical informa- tion has been widely used as global informa- tion for sentence selection. However, most of the recent approaches …...

This study attempted to assess the Philippine English proficiency of the students who took the K to12 curriculum. The study dealt with the speaking and comprehension skills of the students. The main aim of the study is to show the need to have proficiency in using the Philippine variety of …...

It was hypothesized that Zamboanga Chavacano verbs exhibit variation in the need for a verbalizer prior to verbs whose origin is not the superstrate Spanish. To address the hypothesis, 200 verbs from the 500,000-word Zamboanga Chavacano corpora were analyzed using AntConc 3.5.8 (Windows) 2019. Additionally, verbs from different origins were …...

This explanatory sequential mixed-method study aimed to determine the general perception of undergraduate students toward translanguaging and the reasons behind these perspectives. This study was done in two phases: a cross-sectional quantitative approach and a qualitative semi-structured interview. The data collected from the two phases were used to explain and …...

Semantic similarity systems assess to what ex- tent two words, phrases, sentences are simi- lar in their meaning. In this task, rule-based and neural network systems achieve the best results. The former requires intensive human workload and the latter needs heavy comput- ing. Can we achieve high accuracy without hand-crafted …...

Automatically generating meeting minutes is a challenging yet time-relevant problem in speech and natural language processing. Nowadays, meeting minutes seem more cru- cial than ever due to the manifold rise of on- line meetings. However, automatic minut- ing is not straightforward for various reasons: obtaining transcriptions of sufficient quality, summarizing …...

The study of corrective feedback (CF) has been gaining more prolific attention in the field of Second language Acquisition (SLA) up to this time. Theorists, researchers, educators have been investigating which forms of CF are effective. The study determined the use of metalinguistic corrective feedback and students’ response to such …...

Language and literacy development has come to be influenced by digital technology in the current information age. Comments posted on a video streaming site by a developing bilingual seven-year-old child speaking an autochthonous Philippine language and English were analyzed as to their mean length, syntactic form and pragmatic uses. Results …...

A multi-word verb refers to a verb-particle- preposition combination which acts a single lexical and syntactic unit (Quirk et al., 1985). Graduate students from a private university compiled a learner corpus composed of academic papers of senior high school students. Using this 1.5-million-word learner corpus, this study looks into the …...

While there are many culturomic studies in other countries, only a few studies focus on the culturomics unique to the Philippines. This study developed a Philippine news sources scraper and used a pre-existing Tagalog corpora containing books and poems across 100 years to build a continuously growing corpus. This study …...

ESL learners find pronunciation one of the most challenging aspects in speaking an English language especially if the phonemes of the target language are not present in their mother tongue sound inventory. This study aimed to determine the variation of the pronunciation of English words with dental fricatives or the …...

One of the emerging research fields in Natural Language Processing is Noise Detection (ND), the process of identifying posts containing noise information on textual data. While nu- merous datasets and approaches are developed for ND research in other languages, equiv- alent resources for the Vietnamese are lim- ited. To the …...

This paper provides a corpus-based, statistical analysis to explore the semantic (dis)similarities of four metaphorical meanings of the Chinese color term hēi ‘black’ regarding its predicative usages. With the Behavioral Profiles approach, 379 instances were manually annotated with 35 contextual features proposed from three categories, including lexical-collocational, morphosyntactic and semantic, …...

The problem of transliteration deals with the phonetic transcription of text from a source writing system into a target writing system. With the inception of neural net models like Sequence-to-sequence networks, transliteration has seen significant progress in the last decade. However, the accuracy of such systems is still far from …...

The role of pedagogical code-switching (henceforth CS) has been an arising topic of ininquiry across the globe; hence, the global surge bilingualism significantly opened an opportunity to use CS as a resource in class sessions for effective learning. This study aims to distinguish the factors that influence the attitudes of …...

In the turbulent world of 2022, where mass population movements due to war and disas- ter are becoming increasingly common, lan- guage skills are more relevant than ever. Peo- ple who wish to achieve a high level of pro- ficiency when learning a new language bene- fit from reading literary …...

The goal of the shared task is multi-label classi- fication for biomedical records in English used for Evidence-Based Medicine. In this paper, we describe the model based on the Transformer submitted by our team turkNLP for the shared task. Our model achieved a Micro ROC score of ≈ 0.93 on …...

AbstractThis study is the first likelihood ratio (LR)-based forensic text comparison study in which each text is mapped onto an embedding vector using RoBERTa as the pre-trained model. The scores obtained with Cosine distance and probabilistic linear discriminant analysis (PLDA) were calibrated to LRs with logistic regression; the quality of …...