update of the sample text
Browse files
README.md
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@@ -31,8 +31,8 @@ import simpletransformers.classification as cl
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import trankit
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import pandas as pd
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# sample text (
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sample_text = '
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# load the trankit pipeline with the English model; this pipe uses a deep learning model for sentence tokenization (much more precise than rule-based models)
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p = trankit.Pipeline(lang='english', embedding='xlm-roberta-base', gpu=True, cache_dir='./cache')
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import trankit
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import pandas as pd
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# sample text (excerpt from the UNGD 2024 speech delivered by Song Kim, Permanent Representative of the Democratic People’s Republic of Korea at the UN.)
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sample_text = 'Joining here are the member states of NATO, which is an outside force beyond the region and an exclusive military bloc. They are strengthening military cooperation with the U.S. and ROK, abusing the signboard of UN command, which should have been dismantled decades ago, in accordance with the UNGA resolution. They are storing up military confrontation still further by deploying warships and aircrafts in the hotspot region of the Korean Peninsula. Such being the case, they blame us for threatening them. and the peace and stability of the region and beyond with nuclear weapons. Then who had developed and used nuclear weapons against humanity for the first time in history? Who has introduced nuclear weapons into the Korean Peninsula in the last century and posed a nuclear threat to the DPRK over the century? Who on earth is talking unhesitatingly about the end of regime of a sovereign state and maintaining first use of nuclear weapons against the DPRK as its national policy? It is not that the DPRK's position of nuclear weapons makes the U.S. hostile towards us.'
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# load the trankit pipeline with the English model; this pipe uses a deep learning model for sentence tokenization (much more precise than rule-based models)
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p = trankit.Pipeline(lang='english', embedding='xlm-roberta-base', gpu=True, cache_dir='./cache')
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