Update README.md

README.md

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 **COMI-LINGUA provides annotations for several key NLP tasks:**
 
-* **Language Identification (LID):** Token-wise classification of Hindi, English, and other linguistic units.
+* **Language Identification (LID):** Token-wise classification of Hindi, English, and other linguistic units.<br>
+  Initial predictions were generated using the [Microsoft LID tool](https://github.com/microsoft/LID-tool), which annotators then reviewed and corrected.
 * **Matrix Language Identification (MLI):** Sentence-level annotation of the dominant language.
-* **Part-of-Speech (POS) Tagging:** Syntactic categorization for linguistic analysis.
-* **Named Entity Recognition (NER):** Identification of entities in Hinglish text.
-* **Translation:** Parallel translation of sentences in Romanized Hindi and Devanagari Hindi and English languages.
+* **Part-of-Speech (POS) Tagging:** Syntactic categorization for linguistic analysis.<br>
+  Tags were pre-assigned using the [CodeSwitch NLP library](https://github.com/sagorbrur/codeswitch), which annotators then reviewed and corrected.
+* **Named Entity Recognition (NER):** Identification of entities in Hinglish text.<br>
+  Each token is pre-assigned a language tag using the [CodeSwitch NLP library](https://github.com/sagorbrur/codeswitch), which annotators then reviewed and corrected.
+* **Translation:** Parallel translation of sentences in Romanized Hindi and Devanagari Hindi and English languages.<br>
+  Initial translation predictions were generated using the [Llama 3.3 LLM](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct).
 
 ### Dataset Description