Large aligned treebanks for syntax-based machine translation
We present a collection of parallel treebanks that have been automatically aligned on both the terminal and the nonterminal constituent level for use in syntax-based machine translation. We describe how they were constructed and applied to a syntax- and example-based machine translation system called Parse and Corpus-Based Machine Translation (PaCo-MT). For the language pair Dutch to English, we present evaluation scores of both the nonterminal constituent alignments and the MT system itself, and in the latter case, compare them with those of Moses, a current state-of-the-art statistical MT system, when trained on the same data.
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModellingMachine TranslationTranslationSimilar Papers 제목 키워드 기반
Quantifying syntax similarity with a polynomial representation of dependency trees
We introduce a graph polynomial that distinguishes tree structures to represent dependency grammar and a measure based on the polynomial representation to quantify syntax similarity. The polynomial encodes accurate and c…
DiversitySentenceTranslation Divergences in Chinese--English Machine Translation: An Empirical Investigation
In this article, we conduct an empirical investigation of translation divergences between Chinese and English relying on a parallel treebank. To do this, we first devise a hierarchical alignment scheme where Chinese and …
Machine TranslationTranslationParallel Aligned Treebanks at LDC: New Challenges Interfacing Existing Infrastructures
Parallel aligned treebanks (PAT) are linguistic corpora annotated with morphological and syntactic structures that are aligned at sentence as well as sub-sentence levels. They are valuable resources for improving machine…
Machine TranslationSentenceTranslationWord Sense DisambiguationSyntax-Directed Attention for Neural Machine Translation
Attention mechanism, including global attention and local attention, plays a key role in neural machine translation (NMT). Global attention attends to all source words for word prediction. In comparison, local attention …
Machine TranslationNMTTranslationAssessment of Pre-Trained Models Across Languages and Grammars
We present an approach for assessing how multilingual large language models (LLMs) learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent and dependency structures by casting parsing…
Dependency Parsing