Unsupervised Sub-tree Alignment for Tree-to-Tree Translation
نویسندگان
چکیده
منابع مشابه
Unsupervised Sub-tree Alignment for Tree-to-Tree Translation
This article presents a probabilistic sub-tree alignment model and its application to tree-to-tree machine translation. Unlike previous work, we do not resort to surface heuristics or expensive annotated data, but instead derive an unsupervised model to infer the syntactic correspondence between two languages. More importantly, the developed model is syntactically-motivated and does not rely on...
متن کاملUnsupervised Tree Induction for Tree-based Translation
In current research, most tree-based translation models are built directly from parse trees. In this study, we go in another direction and build a translation model with an unsupervised tree structure derived from a novel non-parametric Bayesian model. In the model, we utilize synchronous tree substitution grammars (STSG) to capture the bilingual mapping between language pairs. To train the mod...
متن کاملA Tree Sequence Alignment-based Tree-to-Tree Translation Model
This paper presents a translation model that is based on tree sequence alignment, where a tree sequence refers to a single sequence of subtrees that covers a phrase. The model leverages on the strengths of both phrase-based and linguistically syntax-based method. It automatically learns aligned tree sequence pairs with mapping probabilities from word-aligned biparsed parallel texts. Compared wi...
متن کاملUnsupervised Generation of Parallel Treebanks through Sub-Tree Alignment
e need for syntactically annotated data for use in natural language processing has increased dramatically in recent years. is is true especially for parallel treebanks, of which very few exist. e ones that exist are mainly hand-craed and too small for reliable use in data-oriented applications. In this paper we introduce an open-source system for fast and robust automatic generation of para...
متن کاملLoosely Tree-Based Alignment for Machine Translation
We augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming to the original tree structure, while keeping computational complexity polynomial in the sentence length. This is done by adding a new subtree cloning operation to either tree-to-string or tree-to-tree alignment algorithms.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2013
ISSN: 1076-9757
DOI: 10.1613/jair.4033