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Training Part-of-Speech Taggers to build Machine Translation Systems for Less-Resourced Language Pairs.

, , , and . Proces. del Leng. Natural, (2007)

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Open-Source Portuguese-Spanish Machine Translation., , , , , , , , , and . PROPOR, volume 3960 of Lecture Notes in Computer Science, page 50-59. Springer, (2006)Predicting insertion positions in word-level machine translation quality estimation., , and . Appl. Soft Comput., (2019)Generalized Biwords for Bitext Compression and Translation Spotting., , , and . CoRR, (2014)Inferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora., and . J. Artif. Intell. Res., (2009)Exploiting large pre-trained models for low-resource neural machine translation., , , and . EAMT, page 59-68. European Association for Machine Translation, (2023)Using on-line available sources of bilingual information for word-level machine translation quality estimation., , and . EAMT, European Association for Machine Translation, (2015)Generalized Biwords for Bitext Compression and Translation Spotting: Extended Abstract., , , and . IJCAI, page 3180-3184. IJCAI/AAAI, (2013)Modelling Parallel Texts for Boosting Compression., , , and . DCC, page 517. IEEE Computer Society, (2010)Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries., , , , , and . Lang. Resour. Evaluation, 51 (4): 989-1017 (2017)Apertium: a free/open-source platform for rule-based machine translation., , , , , , , , and . Mach. Transl., 25 (2): 127-144 (2011)