Articles

Recognizing textual entailment is a chal- lenging problem and a fundamental com- ponent of many applications in natural language processing. We present a novel framework for recognizing textual entail- ment that focuses on the use of syntactic heuristics to recognize false entailment. We give a thorough analysis of our sys- …...

This paper presents a new approach to distortion (phrase reordering) in phrase- based machine translation (MT). Distor- tion is modeled as a sequence of choices during translation. The approach yields trainable, probabilistic distortion models that are global: they assign a probability to each possible phrase reordering. These “segment choice” models …...

Parallel corpora are crucial for training SMT systems. However, for many lan- guage pairs they are available only in very limited quantities. For these lan- guage pairs a huge portion of phrases en- countered at run-time will be unknown. We show how techniques from paraphras- ing can be used to …...

We present a probabilistic bilingual capi- talization model for capitalizing machine translation outputs using conditional ran- dom fields. Experiments carried out on three language pairs and a variety of ex- periment conditions show that our model significantly outperforms a strong mono- lingual capitalization model baseline, es- pecially when working with …...

The study addresses the problem of auto- matic acquisition of entailment relations between verbs. While this task has much in common with paraphrases acquisition which aims to discover semantic equiva- lence between verbs, the main challenge of entailment acquisition is to capture asymmetric, or directional, relations. Mo- tivated by the …...

We begin by exploring theoretical and practical issues with phrasal SMT, several of which are addressed by syntax-based SMT. Next, to address problems not handled by syntax, we propose the concept of a Minimal Translation Unit (MTU) and develop MTU sequence models. Finally we incorporate these models into a syntax-based …...

We present a web service to aid translators by quickly producing corpora for specialist areas, in any of a range of languages, from the web. The underlying BootCaT tools have already been extensively used: here, we present a version which is easy for non-technical people to use as all they …...

. In this paper an innovative approach is presented for MT, which is based on pat- tern matching techniques, relies on extensive target language monolingual corpora and em- ploys a series of similarity weights between the source and the target language. Our system is based on the notion of ‘patterns’, …...

While it is generally agreed that Word Sense Disambiguation (WSD) is an application-dependent task, the great majority of systems pursue application-independent approaches. We propose a strategy to support WSD for Machine Translation which is designed specifically for this application. It relies on the analysis of co-occurrences in the context that …...

We present a pilot study for using transformation-based learning for au- tomatic correction of rule-based machine translation. Correction rules are learned based on a parallel corpus of machine translations from a com- mercial machine translation system and a human-corrected version of these translations. The correction rules exploit information on word …...

. The paper gives an overview of the evaluation methods of memory-based translation systems: Translation Memories (TM) and Example Based Machine Translation (EBMT) systems. After a short comparison with the well-discussed methods of evaluation of Machine Translation (MT) Systems we give a brief overview of current methodology on memory-based applications. …...

Phrase-based statistical translation systems are currently providing excel- lent results in real machine translation tasks. In phrase-based statistical translation systems, the basic translation units are word phrases. An im- portant problem that is related to the estimation of phrase-based statistical models is the obtaining of word phrases from an aligned …...

. This paper describes an approach to translation which which recognizes a threefold distinction among the intentions of the author of a text: the locutionary intent (how something is said), the illocutionary intent (what is being said) and the perlocutionary intent (why something is being said) (cf. Austin, 1962; Searle, …...

We present a novel approach for the automatic translation of written text into sign language. A new corpus focussing on the weather report domain for the language pair German and German Sign Language is introduced. We apply phrase-based statistical machine translation, enhanced by pre- and post-processing steps based on the …...

Mixture modelling is a standard pattern classification technique. However, in statistical machine translation, the use of mixture modelling is still un- explored. Two main advantages of the mixture approach are first, its flex- ibility to find an appropriate tradeoff between model complexity and the amount of training data available and …...

. This paper presents an overview of websites that parody real online machine translation (MT) services, as their sole purpose is to amuse users by offering fun translations without any practical use beyond their entertainment value. The websites considered here are designed to accept input in standard English, and can …...

We present a method for improving statistical machine translation perfor- mance by using linguistically motivated syntactic information. Our algo- rithm recursively decomposes source language sentences into syntactically simpler and shorter chunks, and recomposes their translation to form target language sentences. This improves both the word order and lexical selection of …...

. The scope of research and development in the localization and translation memory process development is huge. Several formats have been developed witch are of specific interest for localization and translation, such as XLIFF and TMX. The associated software industry has thus developed several well-known tools committed to these formats: …...

(Way & Gough, 2005) demonstrate that their Marker-based EBMT system is ca- pable of outperforming a word-based SMT system trained on reasonably large data sets. (Groves & Way, 2005) take this a stage further and demonstrate that while the EBMT system also outperforms a phrase-based SMT (PBSMT) system, a hybrid …...

. Long and complex sentences are normally “low translatable” sentences due to high ambiguity. We describe a methodology of handling such sentences in APTrans, - a system for machine translation of patent claims between English and other languages. APTrans builds on patent data hard-coded in the system lexicon and grammars …...