Papers Word Alignment

Multimodal Lexical Translation

L1-L2 Parallel Treebank of Learner Chinese: Overused and Underused Syntactic Structures

The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners

Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding

We construct a multilingual common semantic space based on distributional semantics, where words from multiple languages are projected into a shared space to enable knowledge and resource transfer across languages. Beyon…

Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation

Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages

Adversarial Structured Prediction for Multivariate Measures

Many predicted structured objects (e.g., sequences, matchings, trees) are evaluated using the F-score, alignment error rate (AER), or other multivariate performance measures. Since inductively optimizing these measures u…

MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting

We present a pointwise mutual information (PMI)-based approach to formalize paraphrasability and propose a variant of PMI, called MIPA, for the paraphrase acquisition. Our paraphrase acquisition method first acquires lex…

BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron

Word Translation Without Parallel Data

State-of-the-art methods for learning cross-lingual word embeddings have relied on bilingual dictionaries or parallel corpora. Recent studies showed that the need for parallel data supervision can be alleviated with char…

Low-resource bilingual lexicon extraction using graph based word embeddings

In this work we focus on the task of automatically extracting bilingual lexicon for the language pair Spanish-Nahuatl. This is a low-resource setting where only a small amount of parallel corpus is available. Most of the…

Transferring Semantic Roles Using Translation and Syntactic Information

Our paper addresses the problem of annotation projection for semantic role labeling for resource-poor languages using supervised annotations from a resource-rich language through parallel data. We propose a transfer meth…

A Deep Neural Network Approach To Parallel Sentence Extraction

Parallel sentence extraction is a task addressing the data sparsity problem found in multilingual natural language processing applications. We propose an end-to-end deep neural network approach to detect translational eq…

Unsupervised Event Clustering and Aggregation from Newswire and Web Articles

In this paper, we present an unsupervised pipeline approach for clustering news articles based on identified event instances in their content. We leverage press agency newswire and monolingual word alignment techniques t…

PJIIT's systems for WMT 2017 Conference

CASICT-DCU Neural Machine Translation Systems for WMT17

CUNI Experiments for WMT17 Metrics Task

A BiLSTM-based System for Cross-lingual Pronoun Prediction

We describe the Uppsala system for the 2017 DiscoMT shared task on cross-lingual pronoun prediction. The system is based on a lower layer of BiLSTMs reading the source and target sentences respectively. Classification is…

Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation

In this paper, we analyse alignment discrepancies for discourse structures in English-German parallel data {--} sentence pairs, in which discourse structures in target or source texts have no alignment in the correspondi…

Building a SentiWordNet for Odia

As a discipline of Natural Language Processing, Sentiment Analysis is used to extract and analyze subjective information present in natural language data. The task of Sentiment Analysis has acquired wide commercial uses …