Papers with pronoun translation
Context-Aware Neural Machine Translation Learns Anaphora Resolution (P18-1)
Copied to clipboard
| Challenge: | Standard machine translation systems process sentences in isolation and ignore extra-sentential information. |
| Approach: | They propose a context-aware neural machine translation model that controls flow of information from extended context to the translation model. |
| Outcome: | The proposed model improves on an English-Russian subtitles dataset over its context-agnostic version (+0.7) and over simple concatenation of context and source sentences (+0.6). |
Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses (2020.emnlp-main)
Copied to clipboard
| Challenge: | Popular machine translation model training uses backtranslation to improve BLEU scores . we use generative-discriminative hybrid losses to fine-tune a trained model . |
| Approach: | They propose a class of conditional generative-discriminative hybrid losses to fine-tune a machine translation model. |
| Outcome: | The proposed model improves on a sentence-level and contextual model without additional data. |
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation (2021.emnlp-main)
Copied to clipboard
| Challenge: | ZP-annotated natural language generation (NLG) corpora are scarce in pro-drop languages . despite efforts to bridge the discrepancy between human and machine, zero pronouns still persist in pro -drop tasks. |
| Approach: | They propose a highly adaptive two-stage approach to couple context modeling with ZP recovering to mitigate the ZP problem in NLG tasks. |
| Outcome: | The proposed approach can improve translation, question answering, and summarization tasks. |
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite (D19-1)
Copied to clipboard
| Challenge: | Currently, machine translation is performed at the level of individual sentences, in isolation from the rest of the document. |
| Approach: | They propose a dataset that can be used as a test suite for pronoun translation . they propose an evaluation measure to differentiate good and bad pronounce translations . |
| Outcome: | The proposed dataset can be used as a test suite for pronoun translation in English . it covers multiple source languages and different pronouner errors drawn from real system translations . |
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation (2020.coling-main)
Copied to clipboard
| Challenge: | Recent high scores on pronoun translation suggest current approaches work well . et al., 2018: are context-aware nmt models learning this task? |
| Approach: | They propose a test set to assess the ability to handle specific steps for pronoun translation . they propose heuristics that break down when translations require real reasoning . |
| Outcome: | The proposed model can model complex inferences required for translation of english into german . it shows that current approaches are not able to model all of this information well . |
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point (D18-1)
Copied to clipboard
| Challenge: | a range of issues limit the performance of the automated metrics. |
| Approach: | They propose to use semi-automatic metrics and test suites instead of fully automatic metrics for pronoun translation. |
| Outcome: | The proposed metrics improve translation accuracy by comparing them against a manually annotated dataset . the proposed metrics are semi-automatic and test suites in place of fully automatic metrics. |