Articles

Neural Machine Translation (NMT) is known to outperform Phrase Based Sta- tistical Machine Translation (PBSMT) for resource rich language pairs but not for resource poor ones. Transfer Learning (Zoph et al., 2016) is a simple approach in which we can simply initialize an NMT model (child model) for a resource …...

This paper presents several experiments on constructing Indonesian–Korean Statistical Machine Translation (SMT) system. A parallel corpus containing around 40,000 segments on each side has been developed for training the baseline SMT system that is built based on n-gram language model and the phrase-based translation table model. This system still has …...

Following the principles of the TPACK Framework (Koehler & Mishra, 2009) and Blended Learning Framework (Horn & Staker, 2014), this study reports findings of integrating Facebook, a Social Networking Site (SNS), in facilitating English language classes at a private university in Manila, Philippines. It aimed to explore students’ attitudes towards …...

Philippinization of English has come full circle: It has penetrated not only the center but also the periphery. This paper demonstrates a trend of nativization of English in a rural area as seen in a local daily. Thirty newspaper articles from The Stalwart Journal, a province- wide weekly circulating bilingual …...

Synesthesia means an involuntary neurologi- cal phenomenon where “sensory events in one modality take on qualities usually considered appropriate to another” (Marks, 1982, p. 15). More generally, it indicates an experiential mapping of one sense domain with another, such as “sweet sound”. The study reported in this paper is to …...

This paper discusses the semantic differences of four “cut” verbs in Chinese jiǎn, qiē, xīu, gē and their English counterparts cut (with scissors), slice/cut, trim/prune (away/off) and cut (off/out) and challenges that young bilingual children may encounter in word learning. The fine differences of the verbs were first identified with …...

The present study investigated the following: i) how NPs bearing differing GRs behave with respect to two proposed subject diagnostics – Honorific Agreement (HA) and Plural Copying on adverbs (PC) and ii) whether scrambling allows non- Subject GRs to control these properties. An experimental investigation using Magnitude Estimation (ME) was …...

This paper discusses denominal adjectives derived by affixation of -ed in English in light of recent advances in linguistic theory and makes the following three claims. First, unlike recent proposals arguing against their denominal status, the paper defends the widely held view that these adjectives are derived from nominals and …...

Due to the non-factual nature of futurity, there is an ongoing ambiguity between modality and futurity. The same ambiguity persists in Korean ‐(u)l kes-i and Mandarin Chinese hui that both express an estimation of the likelihood that the state of affairs will be realized in the world, involving the speaker’s …...

When the Chinese reflexive ziji is located far from its antecedents, it is not uncommon to see the blocking effect, since the long-distance binding of ziji is normally blocked by the presence of a first (or second) person pronoun intervening in the reported speech. Conversely, it has generally been accepted …...

Some varieties of polar interrogatives (polar questions) convey an epistemic bias toward a positive or negative answer. This work takes up three paradigmatic kinds of biased polar in- terrogatives: (i) positively-biased negative po- lar interrogatives, (ii) negatively-biased nega- tive polar interrogatives, and (iii) rising tag- interrogatives, and aims to supplement …...

Language contact is one major factor for language change. In some cases such changes are brought from a language of higher status. The present study examines a systematic phonological change among current young Hong Kong Cantonese speakers. L1 Cantonese Speakers of both genders in three age groups were tested for …...

One of the big challenges connected to large vocabulary Arabic speech recognition is the limit of vocabulary, which causes high out- of-vocabulary words. Also, the Arabic language characteristics are another challenge. These challenges negatively affect the performance of the created systems. In this work we try to handle these challenges …...

This paper aims to present a lexical-based approach in order to identify deception in Indonesian transcribed interviews. Using word calculation from the psychological point of view, we classify each subject utterance into two classes, namely lie and truth. We find that the intentions of the people in both telling the …...

Language models have been used in many nat- ural language processing applications. In re- cent years, the recurrent neural network based language models have defeated the conven- tional n-gram based techniques. However, it is difficult for neural network architectures to use linguistic annotations. We try to incorpo- rate part-of-speech features …...

The ubiquitous data provided by social networking sites paved the way for researchers to understand netizens behavior with psychological ailments such as depression. However, most of these researches are aimed at classifying users with depression using blackbox algorithms such as SVM. This does not allow data exploration or further understanding …...

Named Entities (NEs) are a very important part of a sentence and their treatment is a potentially useful preprocessing step for Statistical Machine Translation (SMT). Improper translation of NE lapse the quality of the SMT output and it can hurt sentence’s human readability considerably. Dropping NE often causes translation failures …...

In statistical machine translation systems, a problem arises from the weak performance in alignment due to differences in word form or granularity across different languages. To address this problem, in this paper, we pro- pose a unsupervised bilingual segmentation method using the minimum description length (MDL) principle. Our work aims …...

This paper presents a state-of-the-art system for Vietnamese Named Entity Recognition (NER). By incorporating automatic syntactic features with word embeddings as input for bidirectional Long Short-Term Memory (Bi- LSTM), our system, although simpler than some deep learning architectures, achieves a much better result for Vietnamese NER. The proposed method achieves …...

This research focuses on the implementation of a Maximum Entropy-based Part-of-Speech (POS) tagger for Filipino. It uses the Stan- ford POS tagger – a trainable POS tagger that has been trained on English, Chinese, Arabic, and other languages and producing one of the highest results in each language. The tagger …...