Papers Word Alignment

Large Multi-lingual, Multi-level and Multi-genre Annotation Corpus

High accuracy for automated translation and information retrieval calls for linguistic annotations at various language levels. The plethora of informal internet content sparked the demand for porting state-of-art natural…

Uzbek-English and Turkish-English Morpheme Alignment Corpora

Morphologically-rich languages pose problems for machine translation (MT) systems, including word-alignment errors, data sparsity and multiple affixes. Current alignment models at word-level do not distinguish words and …

WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation on Rare Words

This paper presents WAGS (Word Alignment Gold Standard), a novel benchmark which allows extensive evaluation of WA tools on out-of-vocabulary (OOV) and rare words. WAGS is a subset of the Common Test section of the Europ…

Smoothing parameter estimation framework for IBM word alignment models

IBM models are very important word alignment models in Machine Translation. Following the Maximum Likelihood Estimation principle to estimate their parameters, the models will easily overfit the training data when the da…

Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

The attentional mechanism has proven to be effective in improving end-to-end neural machine translation. However, due to the intricate structural divergence between natural languages, unidirectional attention-based model…

PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora

In this paper, we attempt to improve Statistical Machine Translation (SMT) systems on a very diverse set of language pairs (in both directions): Czech - English, Vietnamese - English, French - English and German - Englis…

Graph-Based Word Alignment for Clinical Language Evaluation

An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination

Using Multilingual Topic Models for Improved Alignment in English-Hindi MT

Unsupervised and Lightly Supervised Part-of-Speech Tagging Using Recurrent Neural Networks

Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT

Improving fast\_align by Reordering

Consistency-Aware Search for Word Alignment

How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models

Part-of-speech Taggers for Low-resource Languages using CCA Features

Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar

Leave-one-out Word Alignment without Garbage Collector Effects

Generalized Agreement for Bidirectional Word Alignment

Baseline Models for Pronoun Prediction and Pronoun-Aware Translation

On Statistical Machine Translation and Translation Theory