scholar.google.com › citations
Aug 7, 2023 · Negative lexical constraining is used to prohibit certain words or expressions in the translation produced by the neural translation model. We ...
Negative lexical constraining is used to prohibit certain words or expressions in the translation produced by the NMT model. We compared various methods based ...
Aug 7, 2023 · Abstract. This paper explores negative lexical constraining in English to Czech neural machine translation. Negative lexical constraining is ...
Sep 7, 2024 · Negative lexical constraining is used to prohibit certain words or expressions in the translation produced by the neural translation model. We ...
People also ask
What are the six challenges for neural machine translation?
What are the limitations of neural machine translation?
What are the challenges of neural machine translation?
What is lexically constrained machine translation?
Aug 2, 2021 · In this paper, we evaluate the translation of negation both automatically and manually, in English–German (EN–DE) and English– Chinese (EN–ZH).
... Negative Lexical Constraints in Neural Machine Translation. In: Proceedings of Machine Translation Summit XIX vol. 1: Research Track, pp. 372-384, Asia ...
Chapter 4 will look into imposing bilingual lexical constraints into neural translation ... Negative lexically constrained decoding for paraphrase generation. In.
[PDF] Lexically Constrained Neural Machine Translation with Explicit Alignment ...
cdn.aaai.org › ojs
Lexically constrained neural machine translation (NMT) is a task that translates the source sentence to include pre- specified lexical constraints. It is useful ...
Missing: Negative | Show results with:Negative
Negative Lexical Constraints in Neural Machine Translation. Preprint. Aug 2023 ... This paper explores negative lexical constraining in English to Czech neural ...
Lexically-constrained sequence decoding allows for explicit positive or negative phrase-based constraints to be placed on target output strings in ...