We present Grid Beam Search (GBS), an algorithm which extends beam search to allow the
inclusion of pre-specified lexical constraints. The algorithm can be used with any model that …

Leveraging lexical constraint is extremely significant in domain-specific machine translation
and interactive machine translation. Previous studies mainly focus on extending beam …

Neural machine translation (NMT) has obtained significant performance improvement over
the recent years. However, NMT models still face various challenges including fragility and …

Lexically constrained generation requires the target sentence to satisfy some lexical
constraints, such as containing some specific words or being the paraphrase to a given …

Neural machine translation systems require large amounts of training data and resources.
Even with this, the quality of the translations may be insufficient for some users or domains …

Automatic machine translation is super efficient to produce translations yet their quality is not
guaranteed. This technique report introduces TranSmart, a practical human-machine …

Despite significant progress, state-of-the-art abstractive summarization methods are still
prone to hallucinate content inconsistent with the source document. In this paper, we …

Computer-aided translation (CAT), the use of software to assist a human translator in the
translation process, has been proven to be useful in enhancing the productivity of human …

Conventional interactive machine translation typically requires a human translator to
validate every generated target word, even though most of them are correct in the advanced …

Understood as the relative excellence of a translation product or process, quality can be
measured in many ways, including automatic comparison metrics, evaluation by translators …