Improving the Quality of MT Output using Novel Name Entity Translation Scheme
This paper presents a novel approach to machine translation by combining the state of art name entity translation scheme. Improper translation of name entities lapse the quality of machine translated output. In this work, name entities are transliterated by using statistical rule based approach. This paper describes the translation and transliteration of name entities from English to Punjabi. We have experimented on four types of name entities which are: Proper names, Location names, Organization names and miscellaneous. Various rules for the purpose of syllabification have been constructed. Transliteration of name entities is accomplished with the help of Probability calculation. N-Gram probabilities for the extracted syllables have been calculated using statistical machine translation toolkit MOSES.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationMiscellaneousTranslationTransliterationSimilar Papers 제목 키워드 기반
Joint Speech Translation and Named Entity Recognition
Modern automatic translation systems aim at place the human at the center by providing contextual support and knowledge. In this context, a critical task is enriching the output with information regarding the mentioned e…
Computational EfficiencyEntity Linkingnamed-entity-recognitionNamed Entity Recognition+3Named Entity Detection and Injection for Direct Speech Translation
In a sentence, certain words are critical for its semantic. Among them, named entities (NEs) are notoriously challenging for neural models. Despite their importance, their accurate handling has been neglected in speech-t…
SentenceSpeech-to-TextTranslationMICE: a middleware layer for MT
The MICE project (2018-2020) will deliver a middleware layer for improving the output quality of the eTranslation system of EC’s Connecting Europe Facility through additional services, such as domain adaptation and named…
Domain Adaptationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Cross-Lingual Named Entity Recognition via FastAlign: a Case Study
Named Entity Recognition is an essential task in natural language processing to detect entities and classify them into predetermined categories. An entity is a meaningful word, or phrase that refers to proper nouns. Name…
Machine Translationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+4Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation
In this work, we propose a Named Entity handling approach to improve translation quality within an existing Natural Language Processing (NLP) pipeline without modifying the Neural Machine Translation (NMT) component. Our…
Machine TranslationNMTTranslation