Who cites «chrF++: words helping character n-grams» · page 4
470 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Wav2Gloss: Generating Interlinear Glossed Text from Speech — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- ``According to . . . ``: Prompting Language Models Improves Quoting from Pre-Training Data — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- chrF-S: Semantics Is All You Need — 2024 · Proceedings of the Ninth Conference on Machine Translation
- A Baseline System for Khasi and Assamese Bidirectional NMT with Zero available Parallel Data: Dataset Creation and System Development — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
- ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
- AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
- An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
- Augmented Language Models: a Survey — 2023 · arXiv:2302.07842
- BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
- BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation — 2023 · arXiv:2305.15011
- Beyond Candidates : Adaptive Dialogue Agent Utilizing Persona and Knowledge — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language — 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences
- CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages — 2023 · Proceedings of the Eighth Conference on Machine Translation
- ChatGPT is not a good indigenous translator — 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)
- Code-Switching with Word Senses for Pretraining in Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Tutorial Abstract
- Domain Terminology Integration into Machine Translation: Leveraging Large Language Models — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Effects of sub-word segmentation on performance of transformer language models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- End-to-End Simultaneous Speech Translation with Differentiable Segmentation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task — 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)
- Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models — 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)
- Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Evaluating Generative Models for Graph-to-Text Generation — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
- Evaluating Morphological Generalisation in Machine Translation by Distribution-Based Compositionality Assessment — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Findings of the 1st Shared Task on Multi-lingual Multi-task Information Retrieval at MRL 2023 — 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)
- Findings of the CoCo4MT 2023 Shared Task on Corpus Construction for Machine Translation — 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
- Generating Irish Text with a Flexible Plug-and-Play Architecture — 2023 · Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning
- HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages — 2023 · arXiv:2305.16307
- Interpreting Positional Information in Perspective of Word Order — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation — 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)
- Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine — 2023 · arXiv:2301.08745
- LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Long-form Simultaneous Speech Translation: Thesis Proposal — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop
- MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages — 2023 · arXiv:2310.09765
- MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- MITRA-zh: An efficient, open machine translation solution for Buddhist Chinese — 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages
- MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- Machine Translation for Low-resource Finno-Ugric Languages — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Machine Translation for Nko: Tools, Corpora, and Baseline Results — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Multi-way Variational NMT for UGC: Improving Robustness in Zero-shot Scenarios via Mixture Density Networks — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction — 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)
- On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation — 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP
- PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task — 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)
- SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Semantically Informed Data Augmentation for Unscoped Episodic Logical Forms — 2023 · Proceedings of the 15th International Conference on Computational Semantics
- Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23 — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes — 2023 · arXiv:2311.10797
- The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023) — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
- The AST Submission for the CoCo4MT 2023 Shared Task on Corpus Construction for Low-Resource Machine Translation — 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
- The Glass Ceiling of Automatic Evaluation in Natural Language Generation — 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
- The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Towards Effective Disambiguation for Machine Translation with Large Language Models — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
- Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings — 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
- XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics — our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
- BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation — 2022 · Proceedings of the 9th Workshop on Asian Translation
- Content Type Profiling of Data-to-Text Generation Datasets — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Cross-modal Contrastive Learning for Speech Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Domain-Specific Text Generation for Machine Translation — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Enhancing the Transformer Decoder with Transition-based Syntax — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
- Every picture tells a story: Image-grounded controllable stylistic story generation — 2022 · Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
- Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Generative Pretraining for Paraphrase Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Graph Pre-training for AMR Parsing and Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- Jojajovai: A Parallel Guarani-Spanish Corpus for MT Benchmarking — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
- Multilingual Abstract Meaning Representation for Celtic Languages — 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022
- NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- No Language Left Behind: Scaling Human-Centered Machine Translation — 2022 · arXiv:2207.04672
- Non-Autoregressive Neural Machine Translation: A Call for Clarity — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing