Papers by Maria Eskevich
Assessing Human-Parity in Machine Translation on the Segment Level (2020.findings-emnlp)
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| Challenge: | Recent machine translation shared tasks have shown top-performing systems to tie or outperform human translation. |
| Approach: | They examine the outputs of top-performing systems in a recent machine translation shared task . they find that some systems outperform human translation on average . |
| Outcome: | a new method identifies segments for which human and machine perform poorly . the results show that top-performing systems outperform human translation on average . |
100,000 Podcasts: A Spoken English Document Corpus (2020.coling-main)
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Ann Clifton, Sravana Reddy, Yongze Yu, Aasish Pappu, Rezvaneh Rezapour, Hamed Bonab, Maria Eskevich, Gareth Jones, Jussi Karlgren, Ben Carterette, Rosie Jones
| Challenge: | Podcasts are a large and growing repository of spoken audio. |
| Approach: | They propose to use podcasts as a resource for speech processing and linguistics . they use a corpus of 100,000 podcasts to study the complexity of the domain . |
| Outcome: | The Spotify Podcast Dataset is the largest corpus of transcribed speech data . the dataset contains 60,000 hours of podcasts, with a range of genres and styles . |