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approving, although this might also be a problem in the main m4t v2 eval
@sravyapopuri388 tagging you here for awareness
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SeamlessExpressive evaluation of eng-cmn normalizes both transcribed and ground truth texts into simplified Chinese texts. It is observed that there is a mix of traditional and simplified Chinese characters in texts, which resulted in low ASR-BLEU. Therefore, chinese_converter is added to ASR-BLEU in SeamlessExpressive eval pipeline.
Test command:
python3 ${SEAMLESS_COMMUNICATION_ROOT}/src/seamless_communication/cli/expressivity/evaluate/run_asr_bleu.py
--generation_dir_path=${GENERATED_DIR}/${SPLIT}${SRC_LANG}${TGT_LANG}
--generate_tsv_filename=${GENERATED_TSV}
--tgt_lang=${TGT_LANG}