Articles

AbstractInteractive-predictive translation is a collaborative iterative process and where human translators produce translations with the help of machine translation (MT) systems interactively. Various sampling techniques in active learning (AL) exist to update the neural MT (NMT) model in the interactive-predictive scenario. In this paper and we explore term based (named …...

AbstractLow-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high-resource language pairs. In this paper and we propose two simple search based curricula – orderings of the multilingual training data – which help improve translation …...

English research articles (RAs) are an essential genre in academia, so the attempts to employ NLP to assist the development of academic writing ability have received considerable attention in the last two decades. However, there has been no study employing feature engineering techniques to investigate the linguistic features of RAs …...

There are two cases describing how a classi- fier processes input text, namely, misclassi- fication and correct classification. In terms of misclassified texts, a classifier handles the texts with both incorrect predictions and ad- versarial texts, which are generated to fool the classifier, which is called a victim. Both types …...

The present study employs the valency theory to approach the internal structure of noun phrases. Specifically, we adopt The Georgetown University Multilayer Corpus (GUM) to investigate the valency distribution, mean valency, and valency pattern of three subclasses of nominal heads, commons nouns, proper nouns, and pronouns. It is found that: …...

AbstractIn this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it contains 56K annotated named entities and 39K annotated relations. Its important difference from previous datasets is annotation of nested named entities, as well …...

AbstractHyperpartisan news show an extreme manipulation of reality based on an underlying and extreme ideological orientation. Because of its harmful effects at reinforcing one’s bias and the posterior behavior of people, hyperpartisan news detection has become an important task for computational linguists. In this paper, we evaluate two different approaches …...

AbstractUnsupervised representation learning of words from large multilingual corpora is useful for downstream tasks such as word sense disambiguation, semantic text similarity, and information retrieval. The representation precision of log-bilinear fastText models is mostly due to their use of subword information. In previous work, the optimization of fastText’s subword sizes …...

. This paper presents the results of a mathematical and linguistic study of non- projective syntactic dependencies in French corpora annotated according to two dependency syntax formats: Universal Dependencies (UD) and Surface Syntactic Universal Dependen- cies (SUD). This study highlights the very local character of the configurations of two crossing …...

. This paper presents an unsupervised approach for natural language generation within the framework of question-answering systems. This approach addresses the issue of generating answers that are usually too short or too long without having to resort to annotated data. This approach shows promising results for English and for French. …...

. This paper presents an unsupervised approach for natural language generation within the framework of question-answering systems. This approach addresses the issue of generating answers that are usually too short or too long without having to resort to annotated data. This approach shows promising results for English and for French. …...

AbstractSifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety. Social media can be leveraged to understand public sentiment and feelings in real-time, and target public health messages based on user interests and emotions. In this paper, we investigate the impact of the COVID-19 pandemic in triggering …...

AbstractTexts written in Old Literary Finnish represent the first literary work ever written in Finnish starting from the 16th century. There have been several projects in Finland that have digitized old publications and made them available for research use. However, using modern NLP methods in such data poses great challenges. …...

AbstractWe present a method for determining intended sense definitions of a given academic word in an academic keyword list. In our approach, the keyword list are converted into unigram of all possible Mandarin translations, intended or not. The method involve converting words in the keyword list into all translations using …...

AbstractThis paper presents a method for automatically identifying bilingual grammar patterns and extracting bilingual phrase instances from a given English-Chinese sentence pair. In our approach, the English-Chinese sentence pair is parsed to identify English grammar patterns and Chinese counterparts. The method involves generating translations of each English grammar pattern and …...

AbstractThe rapid flow of information and the abundance of text data on the Internet have brought about the urgent demand for the construction of monitoring resources and techniques used for various purposes. To extract facets of information useful for particular domains from such large and dynamically growing corpora requires an …...

AbstractAs the system of confiscation becomes more and more perfect, grasping the distribution of the types of confiscations actually announced by the courts will enable you to understand changing of the trend. In addition to assisting legislators in formulating laws, it can also provide other people with an understanding of …...

AbstractIn recent years, speech synthesis system can generate speech with high speech quality. However, multi-speaker text-to-speech (TTS) system still require large amount of speech data for each target speaker. In this study, we would like to construct a multi-speaker TTS system by incorporating two sub modules into artificial neural network-based …...

AbstractWe introduce a method for assisting English as Second Language (ESL) learners by providing translations of Collins COBUILD grammar patterns(GP) for a given word. In our approach, bilingual parallel corpus is transformed into bilingual GP pairs aimed at providing native language support for learning word usage through GPs. The method …...

AbstractAging populations have posed a challenge to many countries including Taiwan, and with them come the issue of long-term care. Given the current context, the aim of this study was to explore the hotly-discussed subtopics in the field of long-term care, and identify its features through NLP. This study applied …...