Lane Oscar Schwartz

20072019
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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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language Social Sciences
Semantics Engineering & Materials Science
grammar Social Sciences
Data storage equipment Engineering & Materials Science
Decoding Engineering & Materials Science
Processing Engineering & Materials Science
Taxonomies Engineering & Materials Science
DSL Engineering & Materials Science

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Research Output 2007 2019

A morphological analyzer for St. Lawrence Island / Central Siberian Yupik

Chen, E. & Schwartz, L. O., Jan 1 2019, LREC 2018 - 11th International Conference on Language Resources and Evaluation. Isahara, H., Maegaard, B., Piperidis, S., Cieri, C., Declerck, T., Hasida, K., Mazo, H., Choukri, K., Goggi, S., Mariani, J., Moreno, A., Calzolari, N., Odijk, J. & Tokunaga, T. (eds.). European Language Resources Association (ELRA), p. 2623-2630 8 p. (LREC 2018 - 11th International Conference on Language Resources and Evaluation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

grammar
language
phonology
documentation
Russia

DLVM: A modern compiler infrastructure for deep learning systems

Wei, R., Schwartz, L. O. & Adve, V. S., Jan 1 2018.

Research output: Contribution to conferencePaper

DSL
Learning systems
infrastructure
learning software
learning

The history and promise of machine translation

Schwartz, L., Jan 1 2018, American Translators Association Scholarly Monograph Series. John Benjamins Publishing Company, Vol. 18. p. 161-190 30 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

history
History
Machine Translation
Machine translation
paradigm

A taxonomy of weeds: A field guide for corpus curators to winnowing the parallel text harvest

Youngt, K. M., Gwinnup, J. & Schwartz, L. O., Jan 1 2016, MT Users' Track. Beregovaya, O., Doyon, J., Langlois, L. & Richardson, S. (eds.). Association for Machine Translation in the Americas, p. 355-370 16 p. (Proceedings - AMTA 2016: 12th Conference of the Association for Machine Translation in the Americas; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Taxonomies
Parallel Corpora
Harvest
Parallel Texts
Weeds

Fast, Scalable Phrase-Based SMT Decoding

Hoang, H., Bogoychev, N., Schwartz, L. O. & Junczys-Dowmunt, M., Jan 1 2016, MT Researchers' Track. Green, S. & Schwartz, L. (eds.). Association for Machine Translation in the Americas, p. 40-52 13 p. (Proceedings - AMTA 2016: 12th Conference of the Association for Machine Translation in the Americas; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Decoding
Scalability
Servers
Statistical Machine Translation
Software