Articles

The standard ParsEval metrics alone are often not sufficient for evaluating parsers integrated in natural language understand- ing systems. We propose to augment in- trinsic parser evaluations by extrinsic mea- sures in the context of human-robot inter- action using a corpus from a human co- operative search task. We compare …...

We experiment with extending the dic- tionaries used by three open-source part- of-speech taggers, by using data from a large Icelandic morphological database. We show that the accuracy of the tag- gers can be improved significantly by us- ing the database. The reason is that the unknown word ratio reduces …...

Part of speech tagging accuracy deterio- rates severely when a tagger is used out of domain. We investigate a fast method for domain adaptation, which provides ad- ditional in-domain training data from an unannotated data set by applying POS tag- gers with different biases to the unanno- tated data set …...

Previous work on relation extraction has focussed on identifying relationships be- tween entities that occur in the same sentence (intra-sentential relations) rather than between entities in different sen- tences (inter-sentential relations) despite previous research having shown that inter- sentential relations commonly occur in in- formation extraction corpora. This paper describes …...

This paper investigates the application of an existing seed-based minimally super- vised learning algorithm to different so- cial domains exhibiting different proper- ties of the available data. A systematic analysis studies the respective data prop- erties of the three domains including the distribution of the semantic arguments and their combinations. …...

We describe an open source computational grammar for Punjabi; a resource-poor language. The grammar is developed in GF (Grammatical framework), which is a tool for multilingual grammar formalism. First, we explore different syntactic features of Punjabi and then we implement them in accordance with GF grammar requirements, to make Punjabi …...

Event extraction is a particularly challenging type of information extraction (IE) that may require inferences from the whole article. However, most current event extraction systems rely on local information at the phrase or sentence level, and do not consider the article as a whole, thus limiting extraction performance. Moreover, most …...

Knowledge about how the world changes over time is a vital component of common- sense knowledge for Artificial Intelligence (AI) and natural language understanding. Actions and events are fundamental com- ponents to any knowledge about changes in the state of the world: the states before and after an event differ …...

Natural language processing tasks often rely on part-of-speech (POS) tagging as a prepro- cessing step. However it is not clear how the absence of any part-of-speech tagger should hamper the development of other natural lan- guage processing tools. In this paper we in- vestigate the contribution of fully unsuper- vised …...

The PLUTO 1 project (Patent Language Translations Online) aims to provide a rapid solution for the online retrieval and translation of patent documents through the integration of a number of existing state-of-the-art components provided by the project partners. The paper presents some of the experiments on patent do- main adaptation …...

In this paper, we show how a large bilingual English-French parallel corpus can be brought to bear in terminology search. First, we dem- onstrate that the coverage of available corpora has become substantially more extensive than that of mainstream term banks. One potential drawback in searching large unstructured cor- pora …...

A majority of the localization indus- try is still unable to benefit from SMT, since it does not know how to integrate SMT system into its production workflow. This paper describes a workflow on how to integrate the open source SMT sys- tem Moses into computer-aided translation (CAT) tools. It …...

This paper introduces FLAVIUS, an in- novative platform to allow full translation and indexing of Internet sites. The EC-funded FLAVIUS project aims at providing an end-to-end solution for Internet content publishers of small to very large sites that would allow them to get their content translated and indexed in other …...

Although Machine Translation is very popular for personal tasks, its use in lo- calization and other business applications is still very limited. The paper presents an experiment on the evaluation of an English-Latvian SMT system integrated into SDL Trados which has been used in an actual localization assignment by a …...

We describe the development of a pro- totype of an open source rule-based Icelandic→English MT system, based on the Apertium MT framework and IceNLP, a natural language processing toolkit for Icelandic. Our system, Apertium-IceNLP, is the first system in which the whole morphological and tagging component of Apertium is replaced …...

This paper presents a study conducted in the course of implementing a project in the World Intellectual Property Organiza- tion (WIPO) on assisted translation of pat- ent abstracts and titles from English to French. The tool (called ‘Tapta’) is trained on an extensive corpus of manually trans- lated patents. These …...

In this paper, we address the issue of ap- plying example-based machine transla- tion (EBMT) methods to overcome some of the difficulties encountered with stat- istical machine translation (SMT) tech- niques. We adopt two different EBMT approaches and present an approach to augment output quality by strategically combining both EBMT …...

Constraints in natural language process- ing play an important role. In this pa- per we show which impact (word-order) constraints have on the translation re- sults, when they are applied in the re- combination step of a linear EBMT sys- tem. Both the baseline EBMT system and the constrained one …...

The present article introduces a phrase- alignment approach that involves the processing of a small bilingual corpus in order to extract suitable structural infor- mation. This is used in the PRESEMT project, whose aim is the quick develop- ment of phrase-based Machine Transla- tion (MT) systems for new language pairs. …...

A Statistical Machine Translation (SMT) system generates an n-best list of candidate translations for each sentence. A model er- ror occurs if the most probable translation (1-best) generated by the SMT decoder is not the most accurate as measured by its similarity to the human reference transla- tion(s) (an oracle). …...