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Handling polysemy and cross-lingual ambiguity in articles through word sense disambiguation models and Neural Machine Translation to improve translation quality.

#challenges#neural machine translation#contextual understanding#translation evaluation

Muallif

Sotuvchi 291059Tasdiqlangan muallif
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68 703
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O'xshash hujjatlar

Contextual Article Processing: Challenges and SolutionsObunadaPPTX

Contextual Article Processing: Challenges and Solutions

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78
Lexical problems of translationObunadaPPTX

Lexical problems of translation

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Machine translation and its limitationsObunadaPPTX

Machine translation and its limitations

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Word Sense DisambiguationObunadaPPTX

Word Sense Disambiguation

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Lexical and grammatical problems of translationObunadaPPTX

Lexical and grammatical problems of translation

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Analysis of Google tranlate and Deepl translation systemsObunadaPPTX

Analysis of Google tranlate and Deepl translation systems

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Neural Machine Translation (NMT) Advances and ArchitecturesObunadaPPTX

Neural Machine Translation (NMT) Advances and Architectures

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Types of meaning and lexical-semantics meanings of the wordObunadaPPTX

Types of meaning and lexical-semantics meanings of the word

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Travel Challenges and SolutionsObunadaPPTX

Travel Challenges and Solutions

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109
Travel challenges and solutionsObunadaPPTX

Travel challenges and solutions

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