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Automatic Loanword Identification Using Tree Reconciliation ...
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The Effect of Vocabulary Use Reminders on L2 English Writing Tasks ...
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Factores lingüísticos y no-lingüísticos en el contacto entre el papiamento y el español en Aruba ...
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Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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| 7 |
Dynamics Of Language Contact And Language Variation: The Case Of Transylvanian Saxon In The Homeland And The Diaspora
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| 8 |
Perceptual attention as the locus of transfer to nonnative speech perception
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| 9 |
Japanese native perceptions of the facial expressions of American learners of L2 Japanese in specified contexts
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1543450226217818 (2018)
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| 10 |
The influence of L1 Dutch and L2 English on L3 French: A longitudinal study
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In: Journal of the European Second Language Association; Vol 2, No 1 (2018); 63-71 ; 2399-9101 (2018)
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| 11 |
Adverb placement among heritage speakers of Spanish
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In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 53 ; 2397-1835 (2018)
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| 13 |
The Use of Evidentials in Hearsay Contexts in Japanese and English
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In: Dissertations and Theses (2017)
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| 14 |
L2 Effect on Bilingual Spanish/English Encoding of Motion Events: Does Manner Salience Transfer?
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In: Open Access Dissertations (2016)
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| 15 |
Multiple Grammars and the Logic of Learnability in Second Language Acquisition
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In: Linguistics Department Faculty Publication Series (2016)
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| 16 |
A Linguist-Friendly Machine Translation System for Low-Resource Languages
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Abstract:
Thesis (Master's)--University of Washington, 2015 ; Low-resource languages have largely been left out of the machine translation revolution. Speakers would benefit from machine translation for many different tasks if it were available. Because of insufficient text data, the results of using statistical machine translation are subpar. The best choice for these languages is probably a transfer-based approach where rules define how to translate from one language to another. Unfortunately, the transfer-based systems available today are not easy to use for anyone outside the computational linguistics field. This thesis presents a transfer-based system that is easy to use for ordinary linguists. It is linguist-friendly because a central component is the intuitive application Fieldworks Language Explorer. This application serves as the repository for lexicons, the place where entries are linked and the tool for the analysis piece of the analysis-transfer-synthesis-style system. Apertium, the well-established open-source machine translation platform, is used for the transfer piece of the system and STAMP for the synthesis piece. All of these programs are well-documented. The linguist’s role is to link lexicon entries and write transfer rules to do either word or syntactic-level translation. Although this machine translation system is a proof-of-concept system, I show that it translates texts successfully in a test case using Persian and Gilaki. Such a system can be used by ordinary linguists all over the world for almost any language pair where machine translation is needed.
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Keyword:
Apertium; Computer science; Fieldworks; linguist-friendly; Linguistics; low-resource; machine translation; transfer-based
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URL: http://hdl.handle.net/1773/33999
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| 17 |
Acoustic correlates of perceived foreign accent in non-native English
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1374052897 (2013)
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| 19 |
Universal Grammar ; down but not out, the L2 acquisition of German
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| 20 |
Interlanguage Pragmatics: Invitation Responses by Advanced Chinese Learners of English
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In: Theses and Dissertations (2012)
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