Advanced URL Catalog 2.36 Multilingual EXCLUSIVE 🟣
Advanced URL Catalog 2.36 Multilingual
translation is the only solution to make the information available to a wider audience, which is vital in the age of globalization. many literature abounds on different techniques used to measure language similarity. nety lin and hsiao-wuen tseng (2010) in a survey study, found that probabilistic models have dominated the literature followed by linear models, the remaining making up a much smaller portion. only one of their studies was using monolingual corpora, most of the rest were using multilingual corpora. in this study, we have chosen to use a probabilistic approach, using a dirichlet distribution-based method. in this work, we present a tool for low-resource language pair similarity that can be broadly used by researchers seeking to compare languages within a family or across languages. url:
when we compare two languages, we evaluate a multilingual model by translating all languages in the dataset and then using the generation-based probing technique proposed in kannan et al. (2018). also, this technique is an approximate method for inferring whether two languages are similar or not, because it does not directly compare languages in the way we measure language similarity. the textual embeddings, obtained by projection of word2vec’s skip-gram model’s final layer to a high-dimensional space, are used to detect language differences in our model. for each language pair, we compute the cosine similarity between their embeddings. url:
the premise of this dataset is to record the acquisition of a list of 6,467 unique urls along with their associated text in spanish-english parallel text. the source urls are mostly extracted from word-for-word translations (mt) of 22 existing english short stories (sánchez-castro and álvarez-ballvé, 2019 ). the final list was compiled by manually comparing the original short stories with the corresponding word-for-word translations provided by the multilingual mt system, machine understanding (mtu), and our own knowledge.
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