Machine Translation

Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features ACL 2024 Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement Interspeech 2024 Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy EMNLP 2024 Improving the Quality of IWLST 2024 Cascade Offline Speech Translation and Speech-to-Speech Translation via Translation Hypothesis Ensembling with NMT models and Large Language Models ACL 2024 Improving Unsupervised Neural Machine Translation via Training Data Self-Correction COLING 2024 Improving Vietnamese-English Medical Machine Translation COLING 2024 IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages ACL 2024 Indic-TEDST: Datasets and Baselines for Low-Resource Speech to Text Translation COLING 2024 IndiSentiment140: Sentiment Analysis Dataset for Indian Languages with Emphasis on Low-Resource Languages using Machine Translation NAACL 2024 INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation COLING 2024 Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation ACL 2024 Interplay of Machine Translation, Diacritics, and Diacritization NAACL 2024 Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data EMNLP 2024 Investigating ASR Error Correction with Large Language Model and Multilingual 1-best Hypotheses Interspeech 2024 Investigating Decoder-only Large Language Models for Speech-to-text Translation Interspeech 2024 Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models NAACL 2024 Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study COLING 2024 Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL translation ACL 2024 Investigating the Linguistic Performance of Large Language Models in Machine Translation EMNLP 2024 IOL Research Machine Translation Systems for WMT24 General Machine Translation Shared Task EMNLP 2024 Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation ACL 2024 Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? EMNLP 2024 IsoChronoMeter: A Simple and Effective Isochronic Translation Evaluation Metric EMNLP 2024 Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis EMNLP 2024 Italian-Ligurian Machine Translation in Its Cultural Context COLING 2024