Christian Buck

Findings of the 2014 Workshop on Statistical Machine Translation

This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task. This year, 143 machine translation systems from 23 institutions were submitted to the ten translation directions in the standard translation task. An additional 6 anonymized systems were included, and were then evaluated both automatically and manually. The quality estimation task had four subtasks, with a total of 10 teams, submitting 57 entries

FBK-UPV-UEdin participation in the WMT14 Quality Estimation shared-task

This paper describes the joint submission of Fondazione Bruno Kessler, Universitat Politde Val` encia and University of Edinburgh to the Quality Estimation tasks of the Workshop on Statistical Machine Translation 2014. We present our submis- sions for Task 1.2, 1.3 and 2. Our systems ranked first for Task 1.2 and for the Binary and Level1 settings in Task 2.

CASMACAT: An Open Source Workbench for Advanced Computer Aided Translation

Abstract We describe an open source workbench that offers advanced computer aided translation (CAT) functionality: post-editing machine translation (MT), interactive translation prediction (ITP), visualization of word alignment, extensive logging with replay mode, integration with eye trackers and e-pen.

CASMACAT: A Computer-assisted Translation Workbench

CASMACAT is a modular, web-based translation workbench that offers advanced functionalities for computer-aided translation and the scientific study of human translation: automatic interaction with machine translation (MT) engines and translation memories (TM) to obtain raw translations or close TM matches for conventional post-editing; interactive translation prediction based on an MT engine’s search graph, detailed recording and replay of edit actions and translator’s gaze (the latter via eye-tracking), and the support of e-pen as an alternative input device. The system is open source sofware and interfaces with multiple MT systems.

Findings of the WMT 2016 Bilingual Document Alignment Shared Task

This paper presents the results of the WMT16 Bilingual Document Alignment Shared Task. Given crawls of web sites, we asked participants to align documents that are translations of each other. 11 research groups submitted 19 systems, with a top performance of 95.0%.

Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance

This work describes our submission to the WMT16 Bilingual Document Alignment task. We show that a very simple distance metric, namely Cosine distance of tf/idf weighted document vectors provides a quick and reliable way to align documents. We compare many possible variants for constructing the document vectors. We also introduce a greedy algorithm that runs quicker and performs better in practice than the optimal solution to bipartite graph matching. Our approach shows competitive performance and can be improved even further through combination with URL based pair matching.