Mar 23, 2022 · The first objective of this paper is to examine the impact of incorporating some morphosyntactic features on the statistical alignment models ...
Jan 1, 2022 · The first objective of this paper is to examine the impact of incorporating some morphosyntactic features on the statistical alignment models ...
Jun 3, 2024 · Example-based machine translation is applied in this system to integrate our study on both structural NLP and machine translation. In the ...
In this paper, we present and cmnt)are various align- ment nodels for statistical machine translation. We propose to measure the quality of au aligmnent model ...
The first objective of this paper is to examine the impact of incorporating some morphosyntactic features on the statistical alignment models and on the ...
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What is word alignment in statistical machine translation?
What is word alignment in NLP?
May 15, 2024 · We first study the correlation between word alignment and the phenomena of hallucination and omission in MT. Then we propose to utilize word ...
We first study the correlation between word alignment and the phenomena of hallucination and omission in MT. Then we propose to utilize word alignment as ...
This paper addresses the word alignment problem for statistical machine translation by creating a symmetric word alignment allowing for reliable one- ...
Nov 17, 2023 · Sentence alignment is the issue of finding correspondence between source sentences and their equivalent translations in the target text. A ...
End-to-end experiments show that our system is the first to consistently yield higher alignment qual- ity than GIZA++ using a fully unsupervised neural model ...