the present paper aims to examine the role of frequency lexicon in assessing lexical proficiency of persian learners. addressing the frequency distribution pattern of persian words, the research which is conducted in corpus-based method studies the relationship between words and lexical proficiency as well as derives the frequency lexicon from persian corpus. to do so, formal and colloquial per...

We present some evaluation results for four French syntactic lexica, obtained through their conversion to the Alexina format used by the Lefff lexicon (Sagot, 2010), and their integration within the large-coverage TAG-based FRMG parser (de La Clergerie, 2005). The evaluations are run on two test corpora, annotated with two distinct annotation formats, namely EASy/Passage chunks and relations an...

We describe our first attempts to re-engineer the curriculum of our introductory NLP course by using two important building blocks: (1) Access to an easy-to-learn programming language and framework to build hands-on programming assignments with real-world data and corpora and, (2) Incorporation of interesting ideas from recent NLP research publications into assignment and examination problems. ...

We present IceMorph, a semi-supervised morphosyntactic analyzer of Old Icelandic. In addition to machine-read corpora and dictionaries, it applies a small set of declension prototypes to map corpus words to dictionary entries. A web-based GUI allows expert users to modify and augment data through an online process. A machine learning module incorporates prototype data, edit-distance metrics, an...

We study in this paper how explicit user feedback can be used by a case-based reasoning system to improve the quality of its retrieval phase. More specifically, we explore how both ranking feedback and relevance feedback can be exploited to modify the weights of case features. We propose some options to cope with each type of feedback. We also evaluate, in an interactive setting, their impact o...

We demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships between original query terms, and do not involve query expansion or relevance feedback. Two types of lexical cohesive relationship information between query terms are used in document ranking: short-distance collocati...