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		<title>Improved GLR Parsing Gives Neural Machine Translation a Grip on Long, Complex Sentences</title>
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		<pubDate>Sun, 04 Oct 2026 11:53:37 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[BLEU]]></category>
		<category><![CDATA[COMET]]></category>
		<category><![CDATA[computational linguistics]]></category>
		<category><![CDATA[GLR algorithm]]></category>
		<category><![CDATA[machine translation]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[neural machine translation]]></category>
		<category><![CDATA[probabilistic pruning]]></category>
		<category><![CDATA[syntactic ambiguity]]></category>
		<category><![CDATA[syntactic parsing]]></category>
		<category><![CDATA[Transformer]]></category>
		<category><![CDATA[word alignment]]></category>
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					<description><![CDATA[Researchers report an improved GLR parsing algorithm combined with Transformer-based pruning and word alignment that improves neural machine translation of long, noisy, and syntactically complex sentences.]]></description>
		
		
		
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