Neural Machine Translation Using Extracted Context Based on Deep Analysis for the Japanese-English Newswire Task at WAT 2020
This paper describes the system of the NHK-NES team for the WAT 2020 Japanese–English newswire task. There are two main problems in Japanese-English news translation: translation of dropped subjects and compatibility between equivalent translations and English news-style outputs. We address these problems by extracting subjects from the context based on predicate-argument structures and using them as additional inputs, and constructing parallel Japanese-English news sentences equivalently translated from English news sentences. The evaluation results confirm the effectiveness of our context-utilization method.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationTranslationSimilar Papers 제목 키워드 기반
Improving Patent Translation using Bilingual Term Extraction and Re-tokenization for Chinese--Japanese
Unlike European languages, many Asian languages like Chinese and Japanese do not have typographic boundaries in written system. Word segmentation (tokenization) that break sentences down into individual words (tokens) is…
Chinese Word SegmentationMachine TranslationSegmentationTerm Extraction+1Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues
Despite the remarkable advancements in machine translation, the current sentence-level paradigm faces challenges when dealing with highly-contextual languages like Japanese. In this paper, we explore how context-awarenes…
Machine TranslationNMTSentenceTranslationA Test Set for Discourse Translation from Japanese to English
We made a test set for Japanese-to-English discourse translation to evaluate the power of context-aware machine translation. For each discourse phenomenon, we systematically collected examples where the translation of th…
Machine TranslationSentenceTranslationJapanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing
Aiming at facilitating the research on quality estimation (QE) and automatic post-editing (APE) of machine translation (MT) outputs, especially for those among Asian languages, we have created new datasets for Japanese t…
Automatic Post-EditingBenchmarkingMachine TranslationSentence+1Zero-pronoun Data Augmentation for Japanese-to-English Translation
For Japanese-to-English translation, zero pronouns in Japanese pose a challenge, since the model needs to infer and produce the corresponding pronoun in the target side of the English sentence. However, although fully re…
Data AugmentationMachine TranslationSentenceTranslation