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Automated Translation
of Multi-word Expressions:
Application in English-Latvian SMT
Prof. Inguna Skadiņa1 and Matīss Rikte...
General schema of experiments
Data and Tools
• JRC Acquis corpus(v. 3.0):
• 1 472 367 parallel sentences as training data
• 1134 random sentences as dev...
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Automated Translation of Multi-word Expressions Application in English-Latvian SMT - poster booster

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Automated Translation of Multi-word Expressions Application in English-Latvian SMT

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Automated Translation of Multi-word Expressions Application in English-Latvian SMT - poster booster

  1. 1. Automated Translation of Multi-word Expressions: Application in English-Latvian SMT Prof. Inguna Skadiņa1 and Matīss Rikters2 1,2University of Latvia, 19 Raina Blvd., Riga, Latvia 1Institute of Mathematics and Computer Science, 29 Raina Blvd., Riga, Latvia 2nd PARSEME Training School La Rochelle, France June 27, 2016
  2. 2. General schema of experiments
  3. 3. Data and Tools • JRC Acquis corpus(v. 3.0): • 1 472 367 parallel sentences as training data • 1134 random sentences as development data • 1599 random sentences as test data • 64 290 multiword expressions • Tools: • Moses toolkit (Keohn et al., 2007) for training the MT system • MPAligner (Pinnis, 2014) for alignment of multiword expressions • SRILM (Stolcke et al., 2011) for training 5-gram language model • MERT (Och, 2003) for tunning the MT system

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