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English

Discontinuous Verb Phrases in Parsing and Machine Translation of English and German

Presented at Portorož, Slovenia, 23-28 May
Publication date2016
Abstract

In this paper, we focus on the verb-particle (V-Prt) split construction in English and German and its difficulty for parsing and Machine Translation (MT). For German, we use an existing test suite of V-Prt split constructions, while for English, we build a new and comparable test suite from raw data. These two data sets are then used to perform an analysis of errors in dependency parsing, word-level alignment and MT, which arise from the discontinuous order in V-Prt split constructions. In the automatic alignments of parallel corpora, most of the particles align to NULL. These mis-alignments and the inability of phrase-based MT system to recover discontinuous phrases result in low quality translations of V-Prt split constructions both in English and German. However, our results show that the V-Prt split phrases are correctly parsed in 90% of cases, suggesting that syntactic-based MT should perform better on these constructions. We evaluate a syntactic-based MT system on German and compare its performance to the phrase-based system.

Keywords
  • Verb-particle split
  • Discontinuous phrases
  • Test suite
  • Parsing
  • Machine translation
Citation (ISO format)
LOAICIGA SANCHEZ, Sharid, GULORDAVA, Kristina. Discontinuous Verb Phrases in Parsing and Machine Translation of English and German. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož, Slovenia. [s.l.] : [s.n.], 2016.
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Proceedings chapter (Accepted version)
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  • PID : unige:84454
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