The main work in bilingual lexicon extraction from comparable corpora is based on the implicit hypothesis that corpora are balanced. However, the historical contextbased projection method dedicated to this task is relatively insensitive to the sizes of each part of the comparable corpus. Within this context, we have carried out a study on the influence of unbalanced specialized comparable corpo...

Collocation translation is important for machine translation and many other NLP tasks. Unlike previous methods using bilingual parallel corpora, this paper presents a new method for acquiring collocation translations by making use of monolingual corpora and linguistic knowledge. First, dependency triples are extracted from Chinese and English corpora with dependency parsers. Then, a dependency ...

Today’s ERP and CRM systems provide companies with nearly unlimited possibilities for collecting data concerning their customers. More and more of these data are more or less unstructured textual data. A good example of this type of data is customer feedback, which can potentially be used to improve customer satisfaction. However, merely getting an overview of what lies in an unstructured mass ...

This paper presents a novel framework called error case frames for correcting preposition errors. They are case frames specially designed for describing and correcting preposition errors. Their most distinct advantage is that they can correct errors with feedback messages explaining why the preposition is erroneous. This paper proposes a method for automatically generating them by comparing lea...

The Biodiversity Heritage Library is the world’s largest digital library of biodiversity literature. Currently containing almost 40 million pages, the library can be explored with a search interface employing keyword-matching, which unfortunately fails to address issues brought about by ambiguity. Helping alleviate these issues are tools that automatically attach semantic metadata to documents,...

Learner corpora are receiving special attention as an invaluable source of educational feedback and are expected to improve teaching materials and methodology. However, they include various types of incorrect sentences. Error type classification is an important task in learner corpora which enables clarifying for learners why a certain sentence is classified as incorrect in order to help learne...

In this paper we propose an approach to lightweight acquisition, sharing and annotation of experience-based corpora via mobile devices. Corpora acquisition is the crucial and often costly process in speech and language science and engineering. To address this problem, we have built a system for creating a location based corpora annotated with multimedia tags (e.g. text, speech, image) generated...

The aim of the paper is to present an Open Source Learning Management System for creating courses in translation theory and practice. Some of its most important characteristics are: • Choice of course formats such as by week, by topic or social format • Flexible array of course activities Forums, Journals, Quizzes, Resources, Choices, Surveys, Assignments • Full user logging and tracking activi...

This paper gives comprehensive analyses of corpora based on Wikipedia for several tasks in question answering. Four recent corpora are collected, WIKIQA, SELQA, SQUAD, and INFOBOXQA, and first analyzed intrinsically by contextual similarities, question types, and answer categories. These corpora are then analyzed extrinsically by three question answering tasks, answer retrieval, selection, and ...

We define collaborative commentary as the involvement of a research community in the interpretive annotation of electronic records. The goal of this process is the evaluation of competing theoretical claims. The process requires commentators to link their comments and related evidentiary materials to specific segments of either transcripts or electronic media. Here, we examine current work in t...