Alignment
Related Papers
Automated Alignment in Multilingual Corpora
Experiences in computing alignments at the paragraph and sentence level within a project TRANSLEARN in the European Union's "LRE" programme of research and development in language engineering are reported. About …...
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This pape clarifies the definition of alignment from the viewpoint of linguistic similarity. We propose new method for the alignment betwee the languages that do not belong to the same …...
Spectral Clustering for German Verbs
We describe and evaluate the application of a spectral clustering technique (Ng et al., 2002) to the unsupervised clustering of German verbs. Our previous work has shown that standard clustering …...
Learning to recognize features of valid textual entailments
This paper advocates a new architecture for tex- tual inference in which finding a good alignment is separated from evaluating entailment. Current ap- proaches to semantic inference in question answer- …...
The LDV-COMBO system for SMT
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Automatic alignment of Czech and English deep syntactic dependency trees
. In this paper, we focus on alignment of Czech and English tectogrammatical dependency trees. The alignment of deep syntactic de- pendency trees can be used for training transfer models …...
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In this paper we investigate the task of auto- matic generation of slide presentations from academic papers, focusing initially on slide to paper alignment. We compare and eval- uate four …...
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In statistical machine translation (SMT), it is known that performance declines when the training data is in a different domain from the test data. Nevertheless, it is frequently nec- essary …...
Developing and evaluating an emergency scenario dialogue corpus
AbstractThe present paper describes the development and evaluation of the Polish emergency dialogue corpus recorded for studying alignment phenomena in stress scenarios. The challenge is that emergency dialogues are more …...
IDENTIC Corpus: Morphologically Enriched Indonesian-English Parallel Corpus
AbstractThis paper describes the creation process of an Indonesian-English parallel corpus (IDENTIC). The corpus contains 45,000 sentences collected from different sources in different genres. Several manual text preprocessing tasks, such …...
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT
AbstractMachine translation (MT) draws from several different disciplines, making it a complex subject to teach. There are excellent pedagogical texts, but problems in MT and current algorithms for solving them …...
Aligning English Strings with Abstract Meaning Representation Graphs
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Computer-Aided Quality Assurance of an Icelandic Pronunciation Dictionary
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Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech
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FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity
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Creating Lithuanian and Latvian Speech Corpora from Inaccurately Annotated Web Data
This paper describes the method that was used to produce additional acoustic model training data for the less-resourced languages of Lithuanian and Latvian. The method uses existing baseline speech recognition …...
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
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Crossing Variational Autoencoders for Answer Retrieval
AbstractAnswer retrieval is to find the most aligned answer from a large set of candidates given a question. Learning vector representations of questions/answers is the key factor. Question-answer alignment and …...
Let MT simplify and speed up your Alignment for TM creation
AbstractLarge quantities of multilingual legal documents are waiting to be regularly aligned and used for future translations. For reasons of time, effort and cost, manual alignment is not an option. …...
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
AbstractAbstract Meaning Representations (AMR) are a broad-coverage semantic formalism which represents sentence meaning as a directed acyclic graph. To train most AMR parsers, one needs to segment the graph into …...
Analyzing Transformers in Embedding Space
AbstractUnderstanding Transformer-based models has attracted significant attention, as they lie at the heart of recent technological advances across machine learning. While most interpretability methods rely on running models over inputs, …...