Search Results for author: Alex Fraser

Found 52 papers, 3 papers with code

Modeling Word Formation in English--German Neural Machine Translation

no code implementations ACL 2020 Marion Weller-Di Marco, Alex Fraser, er

This paper studies strategies to model word formation in NMT using rich linguistic information, namely a word segmentation approach that goes beyond splitting into substrings by considering fusional morphology.

Machine Translation Morphological Analysis +3

Exploring Bilingual Word Embeddings for Hiligaynon, a Low-Resource Language

no code implementations LREC 2020 Leah Michel, Viktor Hangya, Alex Fraser, er

We use a publicly available Hiligaynon corpus with only 300K words, and match it with a comparable corpus in English.

Word Embeddings

LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020

no code implementations LREC 2020 Silvia Severini, Viktor Hangya, Alex Fraser, er, Hinrich Sch{\"u}tze

We participate in both the open and closed tracks of the shared task and we show improved results of our method compared to simple vector similarity based approaches.

Machine Translation Translation +2

Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19

no code implementations WS 2019 Dario Stojanovski, Alex Fraser, er

We describe LMU Munich{'}s machine translation system for English→German translation which was used to participate in the WMT19 shared task on supervised news translation.

Machine Translation Sentence +1

The LMU Munich Unsupervised Machine Translation System for WMT19

no code implementations WS 2019 Dario Stojanovski, Viktor Hangya, Matthias Huck, Alex Fraser, er

We describe LMU Munich{'}s machine translation system for German→Czech translation which was used to participate in the WMT19 shared task on unsupervised news translation.

Denoising Language Modelling +3

Better OOV Translation with Bilingual Terminology Mining

no code implementations ACL 2019 Matthias Huck, Viktor Hangya, Alex Fraser, er

In our experiments we use a system trained on Europarl and mine sentences containing medical terms from monolingual data.

Machine Translation NMT +2

Cross-lingual Annotation Projection Is Effective for Neural Part-of-Speech Tagging

no code implementations WS 2019 Matthias Huck, Diana Dutka, Alex Fraser, er

We tackle the important task of part-of-speech tagging using a neural model in the zero-resource scenario, where we have no access to gold-standard POS training data.

Part-Of-Speech Tagging POS +1

LMU Munich's Neural Machine Translation Systems at WMT 2018

no code implementations WS 2018 Matthias Huck, Dario Stojanovski, Viktor Hangya, Alex Fraser, er

The systems were used for our participation in the WMT18 biomedical translation task and in the shared task on machine translation of news.

Domain Adaptation Translation +1

An Unsupervised System for Parallel Corpus Filtering

no code implementations WS 2018 Viktor Hangya, Alex Fraser, er

In this paper we describe LMU Munich{'}s submission for the \textit{WMT 2018 Parallel Corpus Filtering} shared task which addresses the problem of cleaning noisy parallel corpora.

Domain Adaptation Language Modelling +6

Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments

no code implementations WS 2018 Dario Stojanovski, Alex Fraser, er

We show that NMT models taking advantage of context oracle signals can achieve considerable gains in BLEU, of up to 7. 02 BLEU for coreference and 1. 89 BLEU for coherence on subtitles translation.

Coreference Resolution Language Modelling +4

Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable

1 code implementation ACL 2018 Viktor Hangya, Fabienne Braune, Alex Fraser, er, Hinrich Sch{\"u}tze

Bilingual tasks, such as bilingual lexicon induction and cross-lingual classification, are crucial for overcoming data sparsity in the target language.

Bilingual Lexicon Induction Classification +7

Evaluating bilingual word embeddings on the long tail

1 code implementation NAACL 2018 Fabienne Braune, Viktor Hangya, Tobias Eder, Alex Fraser, er

Bilingual word embeddings are useful for bilingual lexicon induction, the task of mining translations of given words.

Bilingual Lexicon Induction Word Embeddings

Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice

no code implementations EACL 2017 Marion Weller-Di Marco, Alex Fraser, er, Sabine Schulte im Walde

Many errors in phrase-based SMT can be attributed to problems on three linguistic levels: morphological complexity in the target language, structural differences and lexical choice.

Word Alignment Word Sense Disambiguation

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