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(i) Adding transliterations alone does not improve alignment but does enhance all types of similarities. This occurs as the similarity between randomly paired sentences also increases. However, effective alignment requires distinguishing matched pairs from random pairs.
Sep 25, 2024
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We study the use of phono- logical features and affinity statistics for transliteration alignment at phoneme and grapheme levels. The experiments show that ...
Sep 25, 2024 · Our experiments show that adding transliterations alone improves the overall similarities, even for random sentence pairs. With the help of ...
WORD-TRANSLITERATION ALIGNMENT: Align a word w with its transliteration t in a sentence s. P(s, w) = P(σ. Π. = k i k. ,1 ... , ... , max k. 1 k. 1 σ σ ω.
This paper studies transliteration alignment, its evaluation metrics and applications. We propose a new evaluation metric, alignment entropy, ...
Machine transliteration is to translate the proper nouns in the source language according to its pronunciation into the target language.
This paper studies transliteration alignment, its evaluation metrics and applications. We propose a new evaluation metric, alignment entropy, ...
A new evaluation metric, alignment entropy, is proposed, grounded on the information theory, to evaluate the alignment quality without the need for the gold ...
Word alignment is typically done after sentence alignment has already identified pairs of sentences that are translations of one another. Bitext word alignment ...
Missing: Transliteration | Show results with:Transliteration
Dec 16, 2020 · Due to line detection, we can decompose the problem of aligning transliterated signs of the transliteration with raw detections in the tablet ...