Papers with English-Tamil language pairs
A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text (L18-1)
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| Challenge: | a huge number of people use social media to express and exchange information in their own languages. |
| Approach: | They propose to use a code-mixed environment to extract higher level features from text . they use 'gadget' algorithm that automatically discovers higher level feature from text. |
| Outcome: | The proposed approach is generic and does not make use of handcrafted features or rules. |
Refer to the Reference: Reference-focused Synthetic Automatic Post-Editing Data Generation (2025.coling-main)
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| Challenge: | Existing approaches to synthetic APE data generation use source (src) sentences in a parallel corpus to obtain translations (mt) through an MT system and treat corresponding reference (ref) sentences as post-edits (pe). |
| Approach: | They propose a reference-focused synthetic APE data generation technique that uses ‘ref’ instead of src’ sentences to obtain corrupted translations. |
| Outcome: | The proposed technique improves on English-German, English-Russian, English -Marathi, English and Hindi language pairs. |