Title | ||
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Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies |
Abstract | ||
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In the fourth edition of the WMT Biomedical Translation task, we considered a total of six languages, namely Chinese (zh), English (en), French (fr), German (de), Portuguese (pt), and Spanish (es). We performed an evaluation of automatic translations for a total of 10 language directions, namely, zh/en, en/zh, fr/en, en/fr, de/en, en/de, pt/en, en/pt, es/en, and en/es. We provided training data based on MEDLINE abstracts for eight of the 10 language pairs and test sets for all of them. In addition to that, we offered a new sub-task for the translation of terms in biomedical terminologies for the en/es language direction. Higher BLEU scores (close to 0.5) were obtained for the es/en, en/es and en/pt test sets, as well as for the terminology sub-task. After manual validation of the primary runs, some submis- sions were judged to be better than the reference translations, for instance, for de/en, en/es and es/en. |
Year | DOI | Venue |
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2019 | 10.18653/v1/w19-5403 | FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019), VOL 3: SHARED TASK PAPERS, DAY 2 |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rachel Bawden | 1 | 14 | 8.49 |
K. Bretonnel Cohen | 2 | 1232 | 67.00 |
Cristian Grozea | 3 | 124 | 13.85 |
Antonio Jimeno-Yepes | 4 | 540 | 33.38 |
Madeleine Kittner | 5 | 0 | 0.34 |
Martin Krallinger | 6 | 763 | 35.65 |
Nancy Mah | 7 | 0 | 0.34 |
Aurélie Névéol | 8 | 565 | 50.50 |
Mariana L. Neves | 9 | 187 | 13.79 |
Felipe Soares | 10 | 0 | 0.68 |
Amy Siu | 11 | 8 | 2.83 |
Karin Verspoor | 12 | 993 | 78.54 |
Maika Vicente Navarro | 13 | 0 | 0.34 |