Overview and results of MixMT shared-task at WMT 2022
V Srivastava, M Singh - … of the Seventh Conference on Machine …, 2022 - aclanthology.org
In this paper, we present an overview of the WMT 2022 shared task on code-mixed machine
translation (MixMT). In this shared task, we hosted two code-mixed machine translation …
translation (MixMT). In this shared task, we hosted two code-mixed machine translation …
Code-mixed nlg: Resources, metrics, and challenges
V Srivastava, M Singh - Proceedings of the 5th Joint International …, 2022 - dl.acm.org
This tutorial will elaborate on various available resources for the natural language
generation (NLG) tasks in code-mixed languages. We will also discuss the adaptability …
generation (NLG) tasks in code-mixed languages. We will also discuss the adaptability …
Bits pilani at hinglisheval: Quality evaluation for code-mixed hinglish text using transformers
Code-Mixed text data consists of sentences having words or phrases from more than one
language. Most multi-lingual communities worldwide communicate using multiple …
language. Most multi-lingual communities worldwide communicate using multiple …
Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
A Gupta, A Bhogal, K Ghosh - arXiv preprint arXiv:2410.10580, 2024 - arxiv.org
Code-mixing, the practice of alternating between two or more languages in an utterance, is a
common phenomenon in multilingual communities. Due to the colloquial nature of code …
common phenomenon in multilingual communities. Due to the colloquial nature of code …
niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated …
N Singh - arXiv preprint arXiv:2206.08910, 2022 - arxiv.org
This paper describes the system description for the HinglishEval challenge at INLG 2022.
The goal of this task was to investigate the factors influencing the quality of the code-mixed …
The goal of this task was to investigate the factors influencing the quality of the code-mixed …
[PDF][PDF] Neural Machine Translation for Low Resource Languages
A Goindani - 2022 - web2py.iiit.ac.in
Abstract Machine Translation is the task where a machine generates a sentence in
language T, given an input sentence in language S. The generated and input sentences …
language T, given an input sentence in language S. The generated and input sentences …
문법정확도평가(GAE): 기계번역모델의정량화된정성평가
박도준， 장영진， 김학수 - 정보과학회논문지, 2022 - dbpia.co.kr
자연어 생성은 시스템의 계산 결과를 사람의 언어로 표현하는 작업을 의미한다. 이와 같은
자연어 생성 모델은 정량 평가만으로 생성된 문장의 품질을 대변할 수 없기 때문에 사람이 …
자연어 생성 모델은 정량 평가만으로 생성된 문장의 품질을 대변할 수 없기 때문에 사람이 …
Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models
D Park, Y Jang, H Kim - arXiv preprint arXiv:2105.14277, 2021 - arxiv.org
Natural Language Generation (NLG) refers to the operation of expressing the calculation
results of a system in human language. Since the quality of generated sentences from an …
results of a system in human language. Since the quality of generated sentences from an …