Japanese-chinese machine translation for the Japanese case particle "de"

Zhang, Jinyi; Matsumoto, Tadahiro

doi:10.1109/ialp.2017.8300610

Cited by 2 publications

(2 citation statements)

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“…First, the study on Japanese postpositions emphasizes error analysis conducted by Japanese language learners, error correction techniques, machine translation, semantic roles, and cross-linguistic particle processing tailored to Japanese language learners. (Chida, 2021;Ogawa & Yamamoto, 2019;Sutedi, 2020;Yamamoto, 2018;Zhang & Matsumoto, 2017). Second, there are book reviews about the use of Indonesian prepositions researching on errors in the use of prepositions in Indonesian, and a contrastive analysis of the use of prepositions in German and Indonesian (Hasmawati, R, & Yusri, 2020;Irmawati, Shindo, & Matsumoto, 2016;Minde, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, the Japanese case particle 'de' indicates many and diverse roles compared to other case particles. Incorrect usage of particles causes serious communication errors because readers cannot understand the content of sentences through the case markers and causes difficulties in conveying what a primary learner wants to say in a correct way (Zhang & Matsumoto, 2017). The postpositions 'de' and 'ni' have the same semantic role, namely expressing a place but in different contexts.…”

Section: Introductionmentioning

confidence: 99%

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The Semantics of Japanese Postpositions and Indonesian Prepositions: A Contrastive Analysis

Andyrestu,

Widodo

2024

Eralingua

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Abstract. Adpositions are an important aspect in Japanese language learning aspect which must mastered since the beginner level. However, despite its importance, many learners struggle to fully comprehend the meaning and semantics of each adposition. This study seeks to contrast of each semantic of the Japanese postpositions 'ni' and 'de' and Indonesian preposition 'di' stated in Japanese dictionary and Indonesian textbook, and suggestions for Japanese language learners from Indonesian for reducing errors in the use of Japanese postpositions 'ni' and 'de' based on I-JAS Corpus data. The descriptive method was utilized, with contrastive analysis serving as the chosen data analysis technique. The implementation procedures were as follows: (1) collecting data from books and dictionaries; (2) analysing the data so that similarities and differences between adpositions in Japanese and Indonesian can be contrasted in terms of semantics; (3) collecting data on errors in the use of Japanese postpositions from Indonesian students in I-JAS corpus data; and (4) analysing the corpus data, namely explaining the reasons and types of errors and proposing suggestions so that Indonesian learners can reduce these errors in their Japanese language learning. The findings revealed that there are 23 semantics of Japanese postposition ‘ni’ and ‘de’ and Indonesian preposition ‘di’, where the Japanese postposition ‘ni’ has 11 semantics, the Japanese postposition ‘de’ has 12 semantics, and the Indonesian preposition ‘di’ has 3 semantics which are the same as the Japanese postpositions ‘ni’ and ‘de’ and becomes the 3 points of the similarities and differences between the postpositions 'ni' and 'de' in Japanese and the preposition 'di' in Indonesian, and there are three types of errors of using Japanese postpositions 'ni' and 'de' based on I-JAS Corpus data; (a) The errors of using Japanese postposition 'ni', (b) The errors of using Japanese postposition 'de', (c) The errors of using Japanese particle or postposition which should be 'ni' or 'de'. The outcomes of this study hold potential as valuable reference material for translators and Japanese instructors involved in teaching Japanese particles or postpositions. By utilizing this resource, the distinctions among these postpositions can be explained more clearly also it offers comprehension for both translators and Japanese language learners in Indonesia.Keywords: Semantic, Contrastive, Corpus, Japanese Postpositions, Indonesian Prepositions

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Semantics of Japanese Postpositions and Indonesian Prepositions: A Contrastive Analysis

Andyrestu,

Widodo

2024

Eralingua

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Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey

Zhang,

Su,

et al. 2024

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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Machine translation—the automatic transformation of one natural language (source language) into another (target language) through computational means—occupies a central role in computational linguistics and stands as a cornerstone of research within the field of Natural Language Processing (NLP). In recent years, the prominence of Neural Machine Translation (NMT) has grown exponentially, offering an advanced framework for machine translation research. It is noted for its superior translation performance, especially when tackling the challenges posed by low-resource language pairs that suffer from a limited corpus of data resources. This article offers an exhaustive exploration of the historical trajectory and advancements in NMT, accompanied by an analysis of the underlying foundational concepts. It subsequently provides a concise demarcation of the unique characteristics associated with low-resource languages and presents a succinct review of pertinent translation models and their applications, specifically within the context of languages with low-resources. Moreover, this article delves deeply into machine translation techniques, highlighting approaches tailored for Chinese-centric low-resource languages. Ultimately, it anticipates upcoming research directions in the realm of low-resource language translation.

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Japanese-chinese machine translation for the Japanese case particle "de"

Cited by 2 publications

References 1 publication

The Semantics of Japanese Postpositions and Indonesian Prepositions: A Contrastive Analysis

The Semantics of Japanese Postpositions and Indonesian Prepositions: A Contrastive Analysis

Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey

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