Alexander Fraser

The Operation Sequence Model—Combining N-Gram-Based and Phrase-Based Statistical Machine Translation

2015 · Computational Linguistics

In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), which combines the benefits of phrase-based and N-gram-based statistical machine translation (SMT) and remedies their drawbacks. The model represents the …

Annotating tense, mood and voice for English, French and German

2017

We present the first open-source tool for annotating morphosyntactic tense, mood and voice for English, French and German verbal complexes. The annotation is based on a set of language-specific rules, which are applied on dependency …

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

2019

We describe LMU Munich's machine translation system for EnglishGerman translation which was used to participate in the WMT19 shared task on supervised news translation. We specifically participated in the documentlevel MT track. The system used …

How Language-Neutral is Multilingual BERT?

2019 · arXiv (Cornell University)

Multilingual BERT (mBERT) provides sentence representations for 104 languages, which are useful for many multi-lingual tasks. Previous work probed the cross-linguality of mBERT using zero-shot transfer learning on morphological and syntactic tasks. We instead focus …

Style-Specific Neurons for Steering LLMs in Text Style Transfer

2024

Text style transfer (TST) aims to modify the style of a text without altering its original meaning.Large language models (LLMs) demonstrate superior performance across multiple tasks, including TST.However, in zero-shot setups, they tend to directly …