Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR. Retrieved May 24, 2026, from https://4ort.xyz/entity/pychain-a-fully-parallelized-pytorch-implementation-of-lf-mmi-for-end-to-end-asr
MLA“PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pychain-a-fully-parallelized-pytorch-implementation-of-lf-mmi-for-end-to-end-asr.
BibTeX@misc{4ortxyz_pychain-a-fully-parallelized-pytorch-implementation-of-lf-mmi-for-end-to-end-asr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR}}, year = {2026}, url = {https://4ort.xyz/entity/pychain-a-fully-parallelized-pytorch-implementation-of-lf-mmi-for-end-to-end-asr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR — https://4ort.xyz/entity/pychain-a-fully-parallelized-pytorch-implementation-of-lf-mmi-for-end-to-end-asr (retrieved 2026-05-24)
