The Perceptual Ability to Identify Japanese Language Accent Patterns by Indonesian Learners

Research on the acquisition of suprasegmental sounds in Japanese has been carried out both in terms of production and perception. The conducted research shows that there are difficulties in acquiring Japanese sounds. This study focused on the perception of Japanese accents, with the aim of describing the learner’s ability to identify Japanese accent patterns. The data sources of this research are Japanese learners at beginner level. Data were collected using a test instrument, through a hearing test, in the form of a set of words which selected based on the category of words and patterns of Japanese accents to be measured by listening and recording techniques. The results showed that based on the results of the hearing test, of the 17 participants who completed the test reached the highest score 47.14 (S01), and the lowest score of 15.41 (S14), with an overall average score of 29.16 and Standard Deviation (SD) 7.9018. These scores represent the participants’ ability to identify Japanese accent patterns is in the very low category. The results indicate that the learners have difficulty identifying Japanese accent patterns. In fact, the vocabulary in research instrument was the basic vocabulary that had been learned by them. It can be concluded that the acquisition of vocabulary is not in line with the suprasegmental elements attached to these words. The results of this research need to be continued by applying listening exercises of Japanese accent.

Crouching TIGER, hidden structure: Exploring the nature of linguistic data using TIGER values

In recent years, techniques such as Bayesian inference of phylogeny have become a standard part of the quantitative linguistic toolkit. While these tools successfully model the tree-like component of a linguistic dataset, real-world datasets generally include a combination of tree-like and nontree-like signals. Alongside developing techniques for modeling nontree-like data, an important requirement for future quantitative work is to build a principled understanding of this structural complexity of linguistic datasets. Some techniques exist for exploring the general structure of a linguistic dataset, such as NeighborNets, δ scores, and Q-residuals; however, these methods are not without limitations or drawbacks. In general, the question of what kinds of historical structure a linguistic dataset can contain and how these might be detected or measured remains critically underexplored from an objective, quantitative perspective. In this article, we propose TIGER values, a metric that estimates the internal consistency of a genetic dataset, as an additional metric for assessing how tree-like a linguistic dataset is. We use TIGER values to explore simulated language data ranging from very tree-like to completely unstructured, and also use them to analyze a cognate-coded basic vocabulary dataset of Uralic languages. As a point of comparison for the TIGER values, we also explore the same data using δ scores, Q-residuals, and NeighborNets. Our results suggest that TIGER values are capable of both ranking tree-like datasets according to their degree of treelikeness, as well as distinguishing datasets with tree-like structure from datasets with a nontree-like structure. Consequently, we argue that TIGER values serve as a useful metric for measuring the historical heterogeneity of datasets. Our results also highlight the complexities in measuring treelikeness from linguistic data, and how the metrics approach this question from different perspectives.

Triangulation supports agricultural spread of the Transeurasian languages

The origin and early dispersal of speakers of Transeurasian languages—that is, Japanese, Korean, Tungusic, Mongolic and Turkic—is among the most disputed issues of Eurasian population history1–3. A key problem is the relationship between linguistic dispersals, agricultural expansions and population movements4,5. Here we address this question by ‘triangulating’ genetics, archaeology and linguistics in a unified perspective. We report wide-ranging datasets from these disciplines, including a comprehensive Transeurasian agropastoral and basic vocabulary; an archaeological database of 255 Neolithic–Bronze Age sites from Northeast Asia; and a collection of ancient genomes from Korea, the Ryukyu islands and early cereal farmers in Japan, complementing previously published genomes from East Asia. Challenging the traditional ‘pastoralist hypothesis’6–8, we show that the common ancestry and primary dispersals of Transeurasian languages can be traced back to the first farmers moving across Northeast Asia from the Early Neolithic onwards, but that this shared heritage has been masked by extensive cultural interaction since the Bronze Age. As well as marking considerable progress in the three individual disciplines, by combining their converging evidence we show that the early spread of Transeurasian speakers was driven by agriculture.

‘Path’ and ‘Manner’ in The Serialization of Motion Verbs

Verbs are one of the most basic vocabulary elements of the language. These words express the being, manners and movements of beings in the universe. However, in order to express the movements of living and non-living beings in the universe, the verb category creates syntactic and semantic situations by performing some combinations within itself. Because the many movements of many beings in the universe cause endless combinations to appear. In order to express this, the verb category creates various combinations within itself. The most typical example of this is seen between motion verbs, which is a semantic class, and serial verb structures, which are a syntactic and semantic class. Although there have been various studies on motion verbs, the limits of these verbs have not been determined in Turkish studies. Motion verbs, which can be considered as verbs expressing the displacement of beings in the universe, are closely related to serial verb structures, which is a syntactic and semantic category. Serial verb structures contain at least one motion verb in surface or deep structure. According to Talmy's typology, these verbs of motion mark the "way" where the movement takes place, or the "style", which is the way it takes place. In this study, the roles of "path" and "manner" in the serialization process of motion verbs are discussed in the Turkish context.

Synospecies, an application to reflect changes in taxonomic names based on a triple store based on taxonomic data liberated from publication

Taxonomic treatments, sections of publications documenting the features or distribution of a related group of organisms (called a “taxon”, plural “taxa”) in ways adhering to highly formalized conventions, and published in scientific journals, shape our understanding of global biodiversity (Catapano 2019). Treatments are the building blocks of the evolving scientific consensus on taxonomic entities. The semantics of these treatments and their relationships are highly structured: taxa are introduced, merged, made obsolete, split, renamed, associated with specimens and so on. Plazi makes this content available in machine-readable form using Resource Description Framework (RDF) . RDF is the standard model for Linked Data and the Semantic Web. RDF can be exchanged in different formats (aka concrete syntaxes) such as RDF/XML or Turtle. The data model describes graph structures and relies on Internationalized Resource Identifiers (IRIs) , ontologies such as Darwin Core basic vocabulary are used to assign meaning to the identifiers. For Synospecies, we unite all treatments into one large knowledge graph, modelling taxonomic knowledge and its evolution with complete references to quotable treatments. However, this knowledge graph expresses much more than any individual treatment could convey because every referenced entity is linked to every other relevant treatment. On synospecies.plazi.org, we provide a user-friendly interface to find the names and treatments related to a taxon. An advanced mode allows execution of queries using the SPARQL query language.

Effectiveness of Total Physical Response in English speaking skill in EFL beginners

The principal objective of this qualitative research was to determine the effectiveness of using Total Physical Response (TPR) to develop speaking skill in beginner’s learners in a rural school. This study was applied using action research method, which involved observation, planning and implementation. The process was carried out in five-week classes during the term November 2019-January 2020 with 26 students from 7th grade at “Belisario Quevedo” Rural School. The instruments used were structured and unstructured checklist and teacher`s diary. The results showed TPR is effective to develop speaking skill in EFL beginners. Students could use English to communicate with their partners and the teacher using basic vocabulary, correct pronunciation and some fluency after applying the method. As a conclusion, Total Physical Response helped beginners to get familiar with the language and learn English with the use of movements, mimics and gestures, making students produce English to communicate.

Educational Game Learning Japanese Language

Language and culture is an applied been possessed by every man since born. Language is a in the form of communication with each other. In daily life, communicate with the family, friend, even work also need good ability. Therefore a use of language that well and properly should be owned individuals[1]. Nihon-Goo! Is a Game made from computer for the purpose as a medium and facilitate the process increase knowledge and understanding basic vocabulary and culture in japan. After 5 times playing of one each day, game testing was conducted to 40 people and fill the questionnaire. Post-test data result shows that the game makes the player having difficulty answering the questions, but still want to play it again and again. So even though they failed to try it, they still tried again and again.

KAUNIYAH QURANIC ARABIC VOCABULARY FOR BEGINNER; ANALYSIS FROM JUZUK 30

This study has the objective to list kauniyah vocabulary from juzuk 30 so that it can be utilized by book authors and readers especially children in learning early vocabulary which is mostly related to science, in accordance with the practice of surrounding observation. Based on the books that have been produced, no complete vocabulary list related to the initial vocabulary in the world of science according to the Quran has been produced to date. This study uses a qualitative method by analyzing the verses of the Quran from juzuk 30 by listing the vocabulary related to kauniyah. Each vocabulary found will be recorded in a table and written the frequency of the vocabulary. It will be written using Arabic words in the form of the original word without emphasis on morphological elements and will record it as a repetition if it is found to be repeated throughout the analysis. After that, the count will be made and will be recorded in the same table to see the frequency of vocabulary that appears through the analysis of the verses of the Qur'an in the 30th juzuk. A complete list will be generated as a study that includes basic words or word origin to all the words that have meaning and their remuneration in Malay. The results of the study found that there were 74 kauniyah vocabularies and a total of 21 words were repeated at least 2 times, namely; man, earth, sky, night, fire, mountain, water, food, spring, morning dhuha, family, face, wine, shining star, chest, individual, grave, sea, sun, river, and land. The 4 words that undergo 10 repetitions and more are human, earth, sky, and night. In general, these 4 words are suitable to be the basic vocabulary to the development of another related vocabulary.

Triangulation supports agricultural spread of the Transeurasian languages

The origin and early dispersal of speakers of Transeurasian languages, i.e., Japanese, Korean, Tungusic, Mongolic and Turkic, is among the most disputed issues of Eurasian population history. A key problem is the relationship between linguistic dispersals, agricultural expansions and population movements. Here we address this question through ‘triangulating’ genetics, archaeology and linguistics in a unified perspective. We report new, wide-ranging datasets from these disciplines, including the most comprehensive Transeurasian agropastoral and basic vocabulary presented to date, an archaeological database of 255 Neolithic and Bronze Age sites from Northeast Asia, and the first collection of ancient genomes from Korea, the Ryukyu islands and early cereal farmers in Japan, complementing previously published genomes from East Asia. Challenging the traditional ‘Pastoralist Hypothesis’, we show that the common ancestry and primary dispersals of Transeurasian languages can be traced back to the first farmers moving across Northeast Asia from the Early Neolithic onwards, but that this shared heritage has been masked by extensive cultural interaction since the Bronze Age. As well as marking significant progress in the three individual disciplines, by combining their converging evidence, we show that the early spread of Transeurasian speakers was driven by agriculture.