The current state-of-the-art in statistical machine translation (SMT) suffers from issues of sparsity and inadequate modeling power when translating into morphologically rich languages. We model both inﬂection and word-formation for the task of translating into German. We translate from English words to an underspeciﬁed German representation and then use linearchain CRFs to predict the fully speciﬁed German representation. We show that improved modeling of inﬂection and wordformation leads to improved SMT. ...
This chapter introduces basic concepts needed for the study and description of morphologically
complex words. Since this is a book about the particular branch of morphology called word-
formation, we will first take a look at the notion of ‘word’. We will then turn to a first analysis of
the kinds of phenomena that fall into the domain of word-formation, before we finally discuss
how word-formation can be distinguished from the other sub-branch of morphology, inflection.
We review the significant cognitive neuro psychological contributions to our
understanding of spoken word production that were made during the period of 1984 to 2004since the founding of the journal Cognitive Neuro psychology. We then go on to identify anddiscuss a set of outstanding questions and challenges that face future cognitive neuropsychological researchers in this domain.
This paper proposes the application of ﬁnite-state approximation techniques on a uniﬁcation-based grammar of word formation for a language like German. A reﬁnement of an RTN-based approximation algorithm is proposed, which extends the state space of the automaton by selectively adding distinctions based on the parsing history at the point of entering a context-free rule. The selection of history items exploits the speciﬁc linguistic nature of word formation.
This paper presents a feasibility study for implementing lexical morphology principles in a machine translation system in order to solve unknown words. Multilingual symbolic treatment of word-formation is seducing but requires an in-depth analysis of every step that has to be performed. The construction of a prototype is firstly presented, highlighting the methodological issues of such approach. Secondly, an evaluation is performed on a large set of data, showing the benefits and the limits of such approach. ...
There are some sorts of ‘Preposition + Noun’ combinations in Farsi that apparently a Prepositional Phrase almost behaves as Compound Prepositions. As they are not completely behaving as compounds, it is doubtful that the process of word formation is a morphological one. The analysis put forward by this paper proposes “incorporation” by which an No is incorporated to a Po constructing a compound preposition. In this way tagging prepositions and parsing texts in Natural Language Processing is defined in a proper manner. ...